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Tao Y, Luo J, Tian J, Peng S, Wang H, Cao J, Wen Z, Zhang X. The role of robot-assisted training on rehabilitation outcomes in Parkinson's disease: a systematic review and meta-analysis. Disabil Rehabil 2024; 46:4049-4067. [PMID: 37818694 DOI: 10.1080/09638288.2023.2266178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 08/14/2023] [Accepted: 09/24/2023] [Indexed: 10/12/2023]
Abstract
PURPOSE The study aims to assess the efficacy of robot-assisted rehabilitation training on upper and lower limb motor function and fatigue in Parkinson's disease (PD), and to explore the best-acting robotic rehabilitation program. METHODS We searched studies in seven databases and the search period was from the build to 30 June 2023. Two researchers independently screened studies and assessed the quality of the studies for data extraction. RESULTS A total of 21 studies were included, 18 studies related to lower limbs rehabilitation and 3 studies related to upper limbs rehabilitation, involving a total of 787 participants. The results showed that robot-assisted rehabilitation significantly improved indicators of lower limb motor function UPDRS Part III (WMD = -3.58, 95% CI = -5.91 to -1.25, p = 0.003) and BBS (WMD = 4.24, 95% CI = 2.88 to 5.54, p < 0.001), as well as non-motor symptoms of fatigue (WMD = -13.39, 95% CI = -17.92 to -8.86, p < 0.001) in PD patients. At the level of upper limb function, there was no statistically significant difference in the outcome measures of PFS (WMD = -0.25, 95% CI = -4.44 to 3.93, p = 0.9) and BBT (WMD = 1.73, 95% CI = -2.85 to 6.33, p = 0.458). CONCLUSION Robot-assisted rehabilitation significantly improved motor function, fatigue, and balance confidence in PD patients, but current evidence doesn't show that intelligent rehabilitation systems improve upper limb function. In particular, robotics combined with virtual reality worked best.
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Affiliation(s)
- Yanmin Tao
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jingsong Luo
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jing Tian
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Sihan Peng
- Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Hongyan Wang
- Sichuan Nursing Vocational College, Chengdu, China
| | - Jun Cao
- Sichuan Nursing Vocational College, Chengdu, China
| | - Zhifei Wen
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Fortunati M, Febbi M, Negro M, Gennaro F, D’Antona G, Crisafulli O. Lower-Limb Exoskeletons for Gait Training in Parkinson's Disease: The State of the Art and Future Perspectives. Healthcare (Basel) 2024; 12:1636. [PMID: 39201194 PMCID: PMC11353983 DOI: 10.3390/healthcare12161636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Revised: 08/07/2024] [Accepted: 08/14/2024] [Indexed: 09/02/2024] Open
Abstract
Gait dysfunction (GD) is a common impairment of Parkinson's disease (PD), which negatively impacts patients' quality of life. Among the most recent rehabilitation technologies, a lower-limb powered exoskeleton (LLEXO) arises as a useful instrument for gait training in several neurological conditions, including PD. However, some questions relating to methods of use, achievable results, and usefulness compared to traditional rehabilitation methodologies still require clear answers. Therefore, in this review, we aim to summarise and analyse all the studies that have applied an LLEXO to train gait in PD patients. Literature research on PubMed and Scopus retrieved five articles, comprising 46 PD participants stable on medications (age: 71.7 ± 3.7 years, 24 males, Hoehn and Yahr: 2.1 ± 0.6). Compared to traditional rehabilitation, low-profile lower-limb exoskeleton (lp-LLEXO) training brought major improvements towards walking capacity and gait speed, while there are no clear major benefits regarding the dual-task gait cost index and freezing of gait symptoms. Importantly, the results suggest that lp-LLEXO training is more beneficial for patients with an intermediate-to-severe level of disease severity (Hoehn and Yahr > 2.5). This review could provide a novel framework for implementing LLEXO in clinical practise, highlighting its benefits and limitations towards gait training.
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Affiliation(s)
- Matteo Fortunati
- Department of Industrial Engineering, University of Tor Vergata, 00133 Rome, Italy
- CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy
| | - Massimiliano Febbi
- Department of Industrial Engineering, University of Tor Vergata, 00133 Rome, Italy
- Laboratory for Rehabilitation, Medicine and Sport (LARM), 00133 Rome, Italy
| | - Massimo Negro
- CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy
| | - Federico Gennaro
- Department of Biomedical Sciences, University of Padua, 35131 Padua, Italy
| | - Giuseppe D’Antona
- CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
| | - Oscar Crisafulli
- CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy
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Fay A, Synott E, McDaid E, Barrett E. A comparison of the immediate effects of the Andago over ground body weight support trainer versus over ground walking on selected gait parameters in a post-acute rehabilitation population. Physiother Theory Pract 2024; 40:767-777. [PMID: 36593733 DOI: 10.1080/09593985.2022.2162834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/20/2022] [Accepted: 12/20/2022] [Indexed: 01/04/2023]
Abstract
BACKGROUND The Andago is an electromechanical gait trainer providing dynamic body weight support while simultaneously enabling over ground walking. The aim of this study was to compare the effects of the Andago with over ground walking on selected gait parameters, during a single gait reeducation session in a post-acute rehabilitation population. METHODS Twenty-seven participants (mean age 78 yrs. (SD = 9.2), female 55.6% (n = 15)) undergoing rehabilitation for neurological (51.8%, n = 14), orthopedic (33.3%, n = 9), and medical conditions (14.8%, n = 4) completed the study. This was a single group, cross sectional, repeated measures study. Participants completed a 10-meter walk test (10MWT) and a 20-minute gait reeducation session under two conditions: i) harnessed in the Andago with body weight support or ii) using their normal walking pattern. Walking speed, steps taken, distance walked, rest breaks, Borg ratings of perceived exertion, and fear of falling were compared over both conditions. RESULTS Walking speed was significantly slower with the Andago (10MWT mean difference 0.12 (95% CI 0.03-0.20), eta squared 0.24, p = .008; 20-min gait mean difference 0.04 (95% CI 0.00-0.09), eta squared 0.15, p = .049). During the 20-minute gait reeducation session, step count, distance walked, and duration of walking was similar over both conditions, however participants recorded less rest breaks and fear of falling at minutes 10 and 20 in favor of the Andago. CONCLUSION Gait parameters measured during a single gait reeducation session in the Andago, in a mixed cohort of predominately older rehabilitation patients, appear comparable to conventional over ground training, other than walking speed which was reduced.
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Affiliation(s)
- Amy Fay
- Discipline of Physiotherapy, School of Medicine, Trinity College Dublin, University of Dublin, College Green, Dublin, Ireland
| | - Eoin Synott
- Physiotherapy Department, Royal Hospital Donnybrook, Morehampton Road, Dublin, Ireland
| | - Edel McDaid
- Physiotherapy Department, Royal Hospital Donnybrook, Morehampton Road, Dublin, Ireland
| | - Emer Barrett
- Discipline of Physiotherapy, School of Medicine, Trinity College Dublin, University of Dublin, College Green, Dublin, Ireland
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Albishi AM. Knowledge, attitudes, and perceptions of physical therapists towards conventional physical therapy-across-sectional study. Ann Med Surg (Lond) 2024; 86:1942-1949. [PMID: 38576907 PMCID: PMC10990403 DOI: 10.1097/ms9.0000000000001883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 02/21/2024] [Indexed: 04/06/2024] Open
Abstract
Background Conventional physical therapy (CPT) is widely used in clinical practice and known to contribute beneficially to patient's health conditions but remains loosely defined. Research has shown inconsistency in the definition and utilization of CPT among physical therapists in clinical and research settings, limiting its generalisability and reproducibility. Therefore, this study evaluates physical therapists' knowledge, attitudes, and perceptions toward CPT. Methods A cross-sectional study using a self-administered questionnaire containing 36 questions was distributed among 238 licensed physical therapists. Descriptive and inferential statistics were used to measure the physical therapists' knowledge, attitudes, and perceptions towards CPT. Results Physical therapists showed limited knowledge of CPT in rehabilitation (4.09±1.698, 51%). However, the knowledge scores were significantly associated with age (P=0.002), educational levels (P=0.006), and years of work experience (P=0.001). Nevertheless, physical therapists showed an overall positive attitude towards CPT and perceived it as essential to rehabilitation. Conclusion Most physical therapists have low knowledge about CPT but positive attitudes and perceptions. Therefore, customized medical education is necessary to incorporate CPT theories and applications into physical therapists' rehabilitation programs.
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Affiliation(s)
- Alaa M. Albishi
- Department of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
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Jiang X, Zhou J, Chen Q, Xu Q, Wang S, Yuan L, Zhang D, Bi H, Li H. Effect of robot-assisted gait training on motor dysfunction in Parkinson's patients:A systematic review and meta-analysis. J Back Musculoskelet Rehabil 2024; 37:253-268. [PMID: 37955075 DOI: 10.3233/bmr-220395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2023]
Abstract
BACKGROUND Robot-assisted gait training (RAGT) has been reported to treat motor dysfunction in patients with Parkinson's disease (PD) in the last few years. However, the benefits of RAGT for treating motor dysfunction in PD are still unclear. OBJECTIVES To investigate the efficacy of RAGT for motor dysfunction in PD patients. METHODS We searched PubMed, Web of Science, Cochrane Library, Embase, CNKI, Wanfang, Chinese Biomedical Literature Database (CBM), and Chinese VIP Database for randomized controlled trials investigating RAGT to improve motor dysfunction in PD from the databases' inception dates until September 1, 2022. The following outcome indexes were employed to evaluate motor dysfunction: the Berg Balance Scale (BBS), Activities-specific Balance Confidence Scale (ABC), 10-Meter Walk Test gait speed (10-MWT), gait speed, stride length, cadence Unified Parkinson Disease Rating Scale Part III (UPDRS III), 6-Minute Walk Test (6MWT), and the Timed Up and Go test (TUG). The meta-analysis was performed using the proper randomeffect model or fixed-effect model to evaluate the difference in efficacy between the RAGT and the control groups. The Cochrane Risk of Bias Tool was used for the included studies and Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) was used to interpret the certainty of the results. RESULTS The results consisted of 17 studies comprising a total of 670 participants. Six hundred and seven PD patients with motor dysfunction were included: 335 in the RAGT group and 335 in the control group. This meta-analysis results established that when compared with the control group, robot-assisted gait training improved the BBS results of PD patients (MD: 2.80, 95%CI: 2.11-3.49, P< 0.00001), ABC score (MD: 7.30, 95%CI: 5.08-9.52, P< 0.00001), 10-MWT (MD: 0.06, 95%CI: 0.03-0.10, P= 0.0009), gait speed (MD: 3.67, 95%CI: 2.58-4.76, P< 0.00001), stride length (MD: 5.53, 95%CI: 3.64-7.42, P< 0.00001), cadence (MD: 4.52, 95%CI: 0.94-8.10, P= 0.01), UPDRS III (MD: -2.16, 95%CI: -2.48--1.83, P< 0.00001), 6MWT (MD: 13.87, 95%CI: 11.92-15.82, P< 0.00001). However, RAGT did not significantly improve the TUG test result of patients with PD (MD =-0.56, 95% CI: -1.12-0.00, P= 0.05). No safety concerns or adverse reactions among robot-assisted gait training patients were observed. CONCLUSION Even though RAGT can improve balance function, walking function, and gait performance and has demonstrated positive results in several studies, there is currently insufficient compelling evidence to suggest that it can improve all aspects of lower motor function.
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Affiliation(s)
- Xiaoyu Jiang
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Jianpeng Zhou
- Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, Shandong, China
| | - Qiang Chen
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Qiling Xu
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Shuting Wang
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Lin Yuan
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Deqi Zhang
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Hongyan Bi
- Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, Shandong, China
| | - Haixia Li
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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He LW, Guo XJ, Zhao C, Rao JS. Rehabilitation Training after Spinal Cord Injury Affects Brain Structure and Function: From Mechanisms to Methods. Biomedicines 2023; 12:41. [PMID: 38255148 PMCID: PMC10813763 DOI: 10.3390/biomedicines12010041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/03/2023] [Accepted: 12/12/2023] [Indexed: 01/24/2024] Open
Abstract
Spinal cord injury (SCI) is a serious neurological insult that disrupts the ascending and descending neural pathways between the peripheral nerves and the brain, leading to not only functional deficits in the injured area and below the level of the lesion but also morphological, structural, and functional reorganization of the brain. These changes introduce new challenges and uncertainties into the treatment of SCI. Rehabilitation training, a clinical intervention designed to promote functional recovery after spinal cord and brain injuries, has been reported to promote activation and functional reorganization of the cerebral cortex through multiple physiological mechanisms. In this review, we evaluate the potential mechanisms of exercise that affect the brain structure and function, as well as the rehabilitation training process for the brain after SCI. Additionally, we compare and discuss the principles, effects, and future directions of several rehabilitation training methods that facilitate cerebral cortex activation and recovery after SCI. Understanding the regulatory role of rehabilitation training at the supraspinal center is of great significance for clinicians to develop SCI treatment strategies and optimize rehabilitation plans.
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Affiliation(s)
- Le-Wei He
- Beijing Key Laboratory for Biomaterials and Neural Regeneration, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China; (L.-W.H.); (X.-J.G.)
| | - Xiao-Jun Guo
- Beijing Key Laboratory for Biomaterials and Neural Regeneration, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China; (L.-W.H.); (X.-J.G.)
| | - Can Zhao
- Institute of Rehabilitation Engineering, China Rehabilitation Science Institute, Beijing 100068, China
| | - Jia-Sheng Rao
- Beijing Key Laboratory for Biomaterials and Neural Regeneration, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China; (L.-W.H.); (X.-J.G.)
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Padilha C, Souza R, Grossl FS, Gauer APM, de Sá CA, Rodrigues-Junior SA. Physical exercise and its effects on people with Parkinson's disease: Umbrella review. PLoS One 2023; 18:e0293826. [PMID: 37917715 PMCID: PMC10621990 DOI: 10.1371/journal.pone.0293826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 10/20/2023] [Indexed: 11/04/2023] Open
Abstract
INTRODUCTION Parkinson's disease is neurodegenerative, complex and progressive, manifesting in a slow and irreversible way. Physical exercise has been proposed as therapeutic alternative to people with Parkinson´s disease. OBJECTIVE To synthesize knowledge about the effects of physical exercise on people with Parkinson´s Disease as presented by published systematic reviews. METHODS Nine electronic databases and two grey literature databases were searched for systematic reviews reporting the effects of physical exercises on people with Parkinson´s Disease. Searches involved a two-phase process, by, at least, two independent reviewers. Methodological quality of the included systematic reviews was assessed using AMSTAR-2. RESULTS From 2,122 systematic reviews, 139 were included. Motor outcomes were assessed in 91% of the studies, with balance being the most studied. Non-motor outcomes were assessed in 68% of the studies, with emphasis on quality of life. Physical exercises were classified into five categories: aerobic exercises, strength, combined, sensorimotor activities and other activity protocols. Findings of the systematic reviews suggest that all exercise categories can be prescribed to improve balance and mobility, while combined exercises, strength, and specific activities improve both motor and non-motor outcomes, and aerobic exercise and sensorimotor activities improve motor outcomes. CONCLUSION Current evidence from systematic reviews suggests that physical exercises impacts both motor and non-motor outcomes in people with Parkinson´s Disease. Limits in evidence provided by the systematic reviews were related to methodological issues and to the description of the interventions and must be considered to improve decision-making and clinical application.
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Affiliation(s)
- Cristiano Padilha
- Health Sciences Post-Graduate Program, Universidade Comunitária da Região de Chapecó–Unochapecó, Chapecó, Santa Catarina, Brazil
| | - Renan Souza
- Health Sciences Post-Graduate Program, Universidade Comunitária da Região de Chapecó–Unochapecó, Chapecó, Santa Catarina, Brazil
| | - Fernando Schorr Grossl
- Health Sciences Post-Graduate Program, Universidade Comunitária da Região de Chapecó–Unochapecó, Chapecó, Santa Catarina, Brazil
| | - Ana Paula Maihack Gauer
- Health Sciences Post-Graduate Program, Universidade Comunitária da Região de Chapecó–Unochapecó, Chapecó, Santa Catarina, Brazil
| | - Clodoaldo Antônio de Sá
- Health Sciences Post-Graduate Program, Universidade Comunitária da Região de Chapecó–Unochapecó, Chapecó, Santa Catarina, Brazil
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Otlet V, Ronsse R. Adaptive walking assistance does not impact long-range stride-to-stride autocorrelations in healthy people. J Neurophysiol 2023; 130:417-426. [PMID: 37465888 DOI: 10.1152/jn.00181.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/16/2023] [Accepted: 07/11/2023] [Indexed: 07/20/2023] Open
Abstract
Many studies have demonstrated in the past that the level of long-range autocorrelations in series of stride durations, characterizing natural gait variability, is impacted by external constraints, such as treadmill or metronome, or by pathologies, such as Parkinson's or Huntington's disease. Nevertheless, no one has analyzed the effects on this metric of a gait constrained by a robot-mediated walking assistance, which intrinsically tends to normalize the gait pattern. This paper focuses on the influence of a wearable active pelvis orthosis on the level of long-range autocorrelations in series of stride durations. Ten healthy participants, aged between 55 and 77 yr, performed four overground walking sessions, wearing this orthosis, and with different assistive parameters. This study showed that the adaptive assistance provided by this device has the potential of improving gait metrics that are typically affected by aging, such as the hip range of motion, walking speed, stride length, and stride duration, without impacting natural gait variability, i.e., the level of long-range autocorrelations in series of stride durations. This combination is virtuous toward the design of an assistive device for people with locomotion disorders resulting in deteriorated levels of long-range autocorrelations, such as patients with Parkinson's disease.NEW & NOTEWORTHY This study is the first that investigates the effects of a wearable active pelvis orthosis using an oscillator-based adaptive assistance on the level of long-range autocorrelations in series of stride durations during overground walking. It is also the first to compare the effects of different assistance settings on spatiotemporal gait metrics.
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Affiliation(s)
- Virginie Otlet
- Institute of Mechanics, Materials, and Civil Engineering, UCLouvain, Louvain-la-Neuve, Belgium
- Institute of Neuroscience, UCLouvain, Brussels, Belgium
- Louvain Bionics, UCLouvain, Louvain-la-Neuve, Belgium
| | - Renaud Ronsse
- Institute of Mechanics, Materials, and Civil Engineering, UCLouvain, Louvain-la-Neuve, Belgium
- Institute of Neuroscience, UCLouvain, Brussels, Belgium
- Louvain Bionics, UCLouvain, Louvain-la-Neuve, Belgium
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Kim E, Kim H, Yun SJ, Kang MG, Shin HI, Oh BM, Seo HG. Effects of gait training on structural brain changes in Parkinson's disease. Restor Neurol Neurosci 2023:RNN221295. [PMID: 37066925 DOI: 10.3233/rnn-221295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
BACKGROUND Gait training may lead to functional brain changes in Parkinson's disease (PD); however, there is a lack of studies investigating structural brain changes after gait training in PD. OBJECTIVE To investigate structural brain changes induced by 4 weeks of gait training in individuals with PD. METHODS Diffusion tensor imaging and structural T1 images were acquired in PD group before and after robot-assisted gait training or treadmill training, and in healthy control group. Tract-based spatial statistics and tensor-based morphometry were conducted to analyze the data. The outcome of gait training was assessed by gait speed and dual-task interference of cognitive or physical tests of the 10-meter walking test representing gait automaticity. The associations between structural brain changes and these outcomes were investigated using correlation analysis. RESULTS A total of 31 individuals with PD (68.5±8.7 years, the Hoehn & Yahr stage of 2.5 or 3) and 28 healthy controls (66.6±8.8 years) participated in this study. Compared to the controls, PD group at baseline showed a significant increased fractional anisotropy (FA) in the right forceps minor and bilateral brainstem and reduced radial diffusivity (RD) in the right superior longitudinal fasciculus, as well as the expanded structural volumes in the several brain areas. After gait training, FA increased in the left internal capsule and it decreased in the left cerebellar Crus I, while the structural volume did not change. The increased FA in the left internal capsule positively correlated with the baseline gait speed and negatively correlated with gait speed improvement; moreover, the decreased FA in the left cerebellum Crus I negatively correlated with the baseline gait speed during the cognitive task. CONCLUSIONS Gait training induces white matter changes in the brain of individuals with PD, which suggests the improvement of brain structural pathology to mitigate the impact of neurodegenerative consequences.
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Affiliation(s)
- Eunkyung Kim
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Heejae Kim
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Seo Jung Yun
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Min-Gu Kang
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hyun Iee Shin
- Department of Physical Medicine and Rehabilitation, Chung-Ang University College of Medicine, Seoul, Republic of Korea
| | - Byung-Mo Oh
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- National Traffic Injury Rehabilitation Hospital, Yangpyeong, Republic of Korea
| | - Han Gil Seo
- Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
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Álvarez-Bueno C, Deeks JJ, Cavero-Redondo I, Jolly K, Torres-Costoso AI, Price M, Fernandez-Rodriguez R, Martínez-Vizcaíno V. Effect of Exercise on Motor Symptoms in Patients With Parkinson's Disease: A Network Meta-analysis. J Geriatr Phys Ther 2023; 46:E87-E105. [PMID: 34392264 DOI: 10.1519/jpt.0000000000000322] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Although the pharmacological approach may help with motor symptoms in Parkinson's disease (PD), they are clearly not the complete solution. Thus, for the treatment of PD motor symptoms, physical activity has been proposed as an effective intervention. METHODS A systematic search in MEDLINE, Web of Science, Scopus, and Cochrane Central Register of Controlled Trials databases was conducted to identify randomized controlled trials testing the effectiveness of exercise interventions on motor symptoms of PD. Physical exercise interventions were divided into 9 categories: endurance, resistance, combined, balance, dance, alternative exercises, body weight supported, sensorimotor interventions including endurance exercise, and sensorimotor interventions not including endurance exercise. A pairwise meta-analysis for direct and indirect comparisons between intervention and control/nonintervention groups was carried out. RESULTS Fifty-six studies met the inclusion criteria, including 2740 participants, aged between 57.6 and 77.7 years. Results showed that sensorimotor training including endurance (effect size [ES]-1.09; 95% confidence interval [CI], -1.68 to -0.50), resistance (ES-0.82; 95% CI, -1.23 to -0.41), and dance (ES-0.64; 95% CI, -1.24 to -0.05) were the most effective physical activity interventions for mitigating PD motor symptoms. CONCLUSION Physical activity interventions are an effective strategy for the management of motor symptoms in patients with PD. Among the different exercise intervention programs, those including more complex and demanding activities (sensorimotor training including endurance, resistance, and dance) seem to be the most effective physical activity interventions.
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Affiliation(s)
- Celia Álvarez-Bueno
- Social and Health Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain
- Universidad Politécnica y Artística del Paraguay, Asunción, Paraguay
| | - Jonathan J Deeks
- Institute of Applied Health Research, University of Birmingham, Birmingham, England
| | - Iván Cavero-Redondo
- Social and Health Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain
- Universidad Politécnica y Artística del Paraguay, Asunción, Paraguay
- Rehabilitation in Health Research Center (CIRES), Universidad de las Americas, Santiago, Chile
| | - Kate Jolly
- Institute of Applied Health Research, University of Birmingham, Birmingham, England
| | - Ana I Torres-Costoso
- Social and Health Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain
| | - Malcolm Price
- Institute of Applied Health Research, University of Birmingham, Birmingham, England
| | | | - Vicente Martínez-Vizcaíno
- Social and Health Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain
- Universidad Autónoma de Chile, Facultad de Ciencias de la Salud, Talca, Chile
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Zanatta F, Farhane-Medina NZ, Adorni R, Steca P, Giardini A, D'Addario M, Pierobon A. Combining robot-assisted therapy with virtual reality or using it alone? A systematic review on health-related quality of life in neurological patients. Health Qual Life Outcomes 2023; 21:18. [PMID: 36810124 PMCID: PMC9942343 DOI: 10.1186/s12955-023-02097-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 02/07/2023] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND In the field of neurorehabilitation, robot-assisted therapy (RAT) and virtual reality (VR) have so far shown promising evidence on multiple motor and functional outcomes. The related effectiveness on patients' health-related quality of life (HRQoL) has been investigated across neurological populations but still remains unclear. The present study aimed to systematically review the studies investigating the effects of RAT alone and with VR on HRQoL in patients with different neurological diseases. METHODS A systematic review of the studies evaluating the impact of RAT alone and combined with VR on HRQoL in patients affected by neurological diseases (i.e., stroke, multiple sclerosis, spinal cord injury, Parkinson's Disease) was conducted according to PRISMA guidelines. Electronic searches of PubMed, Web of Science, Cochrane Library, CINAHL, Embase, and PsychINFO (2000-2022) were performed. Risk of bias was evaluated through the National Institute of Health Quality Assessment Tool. Descriptive data regarding the study design, participants, intervention, rehabilitation outcomes, robotic device typology, HRQoL measures, non-motor factors concurrently investigated, and main results were extracted and meta-synthetized. RESULTS The searches identified 3025 studies, of which 70 met the inclusion criteria. An overall heterogeneous configuration was found regarding the study design adopted, intervention procedures and technological devices implemented, rehabilitation outcomes (i.e., related to both upper and lower limb impairment), HRQoL measures administered, and main evidence. Most of the studies reported significant effects of both RAT and RAT plus VR on patients HRQoL, whether they adopted generic or disease-specific HRQoL measures. Significant post-intervention within-group changes were mainly found across neurological populations, while fewer studies reported significant between-group comparisons, and then, mostly in patients with stroke. Longitudinal investigations were also observed (up to 36 months), but significant longitudinal effects were exclusively found in patients with stroke or multiple sclerosis. Finally, concurrent evaluations on non-motor outcomes beside HRQoL included cognitive (i.e., memory, attention, executive functions) and psychological (i.e., mood, satisfaction with the treatment, device usability, fear of falling, motivation, self-efficacy, coping, and well-being) variables. CONCLUSIONS Despite the heterogeneity observed among the studies included, promising evidence was found on the effectiveness of RAT and RAT plus VR on HRQoL. However, further targeted short- and long-term investigations, are strongly recommended for specific HRQoL subcomponents and neurological populations, through the adoption of defined intervention procedures and disease-specific assessment methodology.
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Affiliation(s)
- Francesco Zanatta
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Naima Z Farhane-Medina
- Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Córdoba, Spain
- Department of Psychology, University of Córdoba, Córdoba, Spain
| | - Roberta Adorni
- Department of Psychology, University of Milano-Bicocca, Milan, Italy.
| | - Patrizia Steca
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Anna Giardini
- Information Technology Department, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy
| | - Marco D'Addario
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Antonia Pierobon
- Psychology Unit of Montescano Institute, Istituti Clinici Scientifici Maugeri IRCCS, Montescano, Italy
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12
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Han Y, Liu X, Zhang N, Zhang X, Zhang B, Wang S, Liu T, Yi J. Automatic Assessments of Parkinsonian Gait with Wearable Sensors for Human Assistive Systems. SENSORS (BASEL, SWITZERLAND) 2023; 23:2104. [PMID: 36850705 PMCID: PMC9959760 DOI: 10.3390/s23042104] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 01/28/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
The rehabilitation evaluation of Parkinson's disease has always been the research focus of human assistive systems. It is a research hotspot to objectively and accurately evaluate the gait condition of Parkinson's disease patients, thereby adjusting the actuators of the human-machine system and making rehabilitation robots better adapt to the recovery process of patients. The rehabilitation evaluation of Parkinson's disease has always been the research focus of rehabilitation robots. It is a research hotspot to be able to objectively and accurately evaluate the recovery of Parkinson's disease patients, thereby adjusting the driving module of the human-machine collaboration system in real time, so that rehabilitation robots can better adapt to the recovery process of Parkinson's disease. The gait task in the Unified Parkinson's Disease Rating Scale (UPDRS) is a widely accepted standard for assessing the gait impairments of patients with Parkinson's disease (PD). However, the assessments conducted by neurologists are always subjective and inaccurate, and the results are determined by the neurologists' observation and clinical experience. Thus, in this study, we proposed a novel machine learning-based method of automatically assessing the gait task in UPDRS with wearable sensors as a more convenient and objective alternative means for PD gait assessment. In the design, twelve gait features, including three spatial-temporal features and nine kinematic features, were extracted and calculated from two shank-mounted IMUs. A novel nonlinear model is developed for calculating the score of gait task from the gait features. Twenty-five PD patients and twenty-eight healthy subjects were recruited for validating the proposed method. For comparison purpose, three traditional models, which have been used in previous studies, were also tested by the same dataset. In terms of percentages of participants, 84.9%, 73.6%, 73.6%, and 66.0% of the participants were accurately assigned into the true level with the proposed nonlinear model, the support vector machine model, the naive Bayes model, and the linear regression model, respectively, which indicates that the proposed method has a good performance on calculating the score of the UPDRS gait task and conformance with the rating done by neurologists.
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Affiliation(s)
- Yi Han
- The State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
- Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, Kochi 782-8502, Japan
| | - Xiangzhi Liu
- The State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Ning Zhang
- The National Research Center for Rehabilitation Technical Aids, Beijing 102676, China
| | - Xiufeng Zhang
- The National Research Center for Rehabilitation Technical Aids, Beijing 102676, China
| | - Bin Zhang
- The College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China
| | - Shuoyu Wang
- Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, Kochi 782-8502, Japan
| | - Tao Liu
- The State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Jingang Yi
- Department of Mechanical and Aerospace Engineering, Rutgers University, Piscataway, NJ 08854, USA
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13
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Zanatta F, Steca P, Fundarò C, Giardini A, Felicetti G, Panigazzi M, Arbasi G, Grilli C, D’Addario M, Pierobon A. Biopsychosocial effects and experience of use of robotic and virtual reality devices in neuromotor rehabilitation: A study protocol. PLoS One 2023; 18:e0282925. [PMID: 36897863 PMCID: PMC10004562 DOI: 10.1371/journal.pone.0282925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 02/18/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Robot-assisted therapy (RAT) and virtual reality (VR)-based neuromotor rehabilitation have shown promising evidence in terms of patient's neuromotor recovery, so far. However, still little is known on the perceived experience of use of robotic and VR devices and the related psychosocial impact. The present study outlines a study protocol aiming to investigate the biopsychosocial effects and the experience of use of robotic and non-immersive VR devices in patients undergoing neuromotor rehabilitation. METHODS Adopting a prospective, two-arm, non-randomized study design, patients with different neuromotor diseases (i.e., acquired brain injury, Parkinson's Disease, and total knee/hip arthroplasty) undergoing rehabilitation will be included. In a real-world clinical setting, short- (4 weeks) and long-term (6 months) changes in multiple patient's health domains will be investigated, including the functional status (i.e., motor functioning, ADLs, risk of falls), cognitive functioning (i.e., attention and executive functions), physical and mental health-related quality of life (HRQoL), and the psychological status (i.e., anxiety and depression, quality of life satisfaction). At post-intervention, the overall rehabilitation experience, the psychosocial impact of the robotic and VR devices will be assessed, and technology perceived usability and experience of use will be evaluated through a mixed-methods approach, including both patients' and physiotherapists' perspectives. Repeated measures within-between interaction effects will be estimated, and association analyses will be performed to explore the inter-relationships among the variables investigated. Data collection is currently ongoing. IMPLICATIONS The biopsychosocial framework adopted will contribute to expanding the perspective on patient's recovery within the technology-based rehabilitation field beyond motor improvement. Moreover, the investigation of devices experience of use and usability will provide further insight into technology deployment in neuromotor rehabilitation programs, thereby maximising therapy engagement and effectiveness. TRIAL REGISTRATION ClinicalTrials.gov ID: NCT05399043.
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Affiliation(s)
- Francesco Zanatta
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Patrizia Steca
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Cira Fundarò
- Istituti Clinici Scientifici Maugeri IRCCS, Neurophysiopathology Unit of Montescano Institute, Montescano, Italy
- * E-mail:
| | - Anna Giardini
- Istituti Clinici Scientifici Maugeri IRCCS, Information Technology Department of Pavia Institute, Pavia, Italy
| | - Guido Felicetti
- Istituti Clinici Scientifici Maugeri IRCCS, Neuromotor Rehabilitation Unit of Montescano Institute, Montescano, Italy
| | - Monica Panigazzi
- Istituti Clinici Scientifici Maugeri IRCCS, Occupational Physiatry and Ergonomics Unit of Montescano Institute, Montescano, Italy
| | - Giovanni Arbasi
- Istituti Clinici Scientifici Maugeri IRCCS, Neuromotor Rehabilitation Unit of Montescano Institute, Montescano, Italy
| | - Cesare Grilli
- Istituti Clinici Scientifici Maugeri IRCCS, Occupational Physiatry and Ergonomics Unit of Montescano Institute, Montescano, Italy
| | - Marco D’Addario
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Antonia Pierobon
- Istituti Clinici Scientifici Maugeri IRCCS, Psychology Unit of Montescano Institute, Montescano, Italy
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14
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Carmignano SM, Fundarò C, Bonaiuti D, Calabrò RS, Cassio A, Mazzoli D, Bizzarini E, Campanini I, Cerulli S, Chisari C, Colombo V, Dalise S, Gazzotti V, Mazzoleni D, Mazzucchelli M, Melegari C, Merlo A, Stampacchia G, Boldrini P, Mazzoleni S, Posteraro F, Benanti P, Castelli E, Draicchio F, Falabella V, Galeri S, Gimigliano F, Grigioni M, Mazzon S, Molteni F, Morone G, Petrarca M, Picelli A, Senatore M, Turchetti G, Andrenelli E. Robot-assisted gait training in patients with Parkinson's disease: Implications for clinical practice. A systematic review. NeuroRehabilitation 2022; 51:649-663. [PMID: 35570502 DOI: 10.3233/nre-220026] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Gait impairments are common disabling symptoms of Parkinson's disease (PD). Among the approaches for gait rehabilitation, interest in robotic devices has grown in recent years. However, the effectiveness compared to other interventions, the optimum amount of training, the type of device, and which patients might benefit most remains unclear. OBJECTIVE To conduct a systematic review about the effects on gait of robot-assisted gait training (RAGT) in PD patients and to provide advice for clinical practice. METHODS A search was performed on PubMed, Scopus, PEDro, Cochrane library, Web of science, and guideline databases, following PRISMA guidelines. We included English articles if they used a robotic system with details about the intervention, the parameters, and the outcome measures. We evaluated the level and quality of evidence. RESULTS We included twenty papers out of 230 results: two systematic reviews, 9 randomized controlled trials, 4 uncontrolled studies, and 5 descriptive reports. Nine studies used an exoskeleton device and the remainders end-effector robots, with large variability in terms of subjects' disease-related disability. CONCLUSIONS RAGT showed benefits on gait and no adverse events were recorded. However, it does not seem superior to other interventions, except in patients with more severe symptoms and advanced disease.
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Affiliation(s)
- Simona Maria Carmignano
- Centro Terapeutico Riabilitativo (CTR), Potenza, Italy.,University of Salerno, Salerno, Italy
| | - Cira Fundarò
- Neurophysiopatology Unit, Istituti Clinici Scientifici Maugeri, IRCCS Montescano, Pavia, Italy
| | | | | | - Anna Cassio
- Spinal Cord Unit and Intensive Rehabilitation Medicine, Ospedale di Fiorenzuola d'Arda, AUSL Piacenza, Piacenza, Italy
| | - Davide Mazzoli
- Gait and Motion Analysis Laboratory, Sol et Salus Ospedale Privato Accreditato, Rimini, Italy
| | - Emiliana Bizzarini
- Department of Rehabilitation Medicine, Spinal Cord Unit, Gervasutta Hospital, Azienda Sanitaria Universitaria Friuli Centrale (ASU FC), Udine, Italy
| | - Isabella Campanini
- Department of Neuromotor and Rehabilitation, LAM-Motion Analysis Laboratory, San Sebastiano Hospital, AUSL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Simona Cerulli
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Carmelo Chisari
- Department of Translational Research and New Technologies in Medicine and Surgery, Neurorehabiltation Section, University of Pisa, Pisa, Italy
| | | | - Stefania Dalise
- Department of Translational Research and New Technologies in Medicine and Surgery, Neurorehabiltation Section, University of Pisa, Pisa, Italy
| | - Valeria Gazzotti
- Centro Protesi Vigorso di Budrio, Istituto Nazionale Assicurazione Infortuni sul Lavoro (INAIL), Bologna, Italy
| | - Daniele Mazzoleni
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | | | | | - Andrea Merlo
- Gait and Motion Analysis Laboratory, Sol et Salus Ospedale Privato Accreditato, Rimini, Italy.,Department of Neuromotor and Rehabilitation, LAM-Motion Analysis Laboratory, San Sebastiano Hospital, AUSL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | | | - Paolo Boldrini
- Italian Society of Physical Medicine and Rehabilitation (SIMFER), Rome, Italy
| | - Stefano Mazzoleni
- Department of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy
| | - Federico Posteraro
- Department of Rehabilitation, Versilia Hospital - AUSL12, Viareggio, Italy
| | | | - Enrico Castelli
- Department of Paediatric Neurorehabilitation, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Francesco Draicchio
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Rome, Italy
| | - Vincenzo Falabella
- Italian Federation of Persons with Spinal Cord Injuries (FAIP Onlus), Rome, Italy
| | | | - Francesca Gimigliano
- Department of Mental, Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Mauro Grigioni
- National Center for Innovative Technologies in Public Health, Italian National Institute of Health, Rome, Italy
| | - Stefano Mazzon
- Rehabilitation Unit, ULSS (Local Health Authority) Euganea, Camposampiero Hospital, Padua, Italy
| | - Franco Molteni
- Department of Rehabilitation Medicine, Villa Beretta Rehabilitation Center, Valduce Hospital, Lecco, Italy
| | | | - Maurizio Petrarca
- Movement Analysis and Robotics Laboratory (MARlab), IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Alessandro Picelli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Michele Senatore
- Associazione Italiana dei Terapisti Occupazionali (AITO), Rome, Italy
| | | | - Elisa Andrenelli
- Department of Experimental and Clinical Medicine, Università Politecnica delle Marche, Ancona, Italy
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15
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Al-Wardat M, Schirinzi T, Hadoush H, Kassab M, Yabroudi MA, Opara J, Nawrat-Szołtysik A, Khalil H, Etoom M. Home-Based Exercise to Improve Motor Functions, Cognitive Functions, and Quality of Life in People with Huntington's Disease: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14915. [PMID: 36429634 PMCID: PMC9690643 DOI: 10.3390/ijerph192214915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/09/2022] [Accepted: 11/10/2022] [Indexed: 06/16/2023]
Abstract
Exercise in different settings has become a fundamental part of Huntington's disease (HD) management. The aim of this systematic review and meta-analysis was to investigate the effectiveness of home-based exercises (HBE) in HD. Randomized controlled trials (RCTs) investigating the effect of HBE on motor, cognitive, or health-related quality of life (QoL) outcomes in HD were included. Standardized mean difference (SMD), the 95% confidence interval, and p-values were calculated by comparing the outcomes change between HBE and control groups. Seven RCTs met the inclusion criteria. The included RCTs prescribed different types of HBEs, i.e., aerobic strengthening, walking, balance, and fine motor exercises. The HBE protocol length was between 6 and 36 weeks. The meta-analyses showed a significant effect of HBE intervention on motor function measure by Unified Huntington Disease Rating and overall QoL measure by Short Form-36 post-treatment respectively, [SMD = 0.481, p = 0.048], [SMD = 0.378, p = 0.003]. The pooled analysis did not detect significant changes in cognition, gait characteristics, or functional balance scales. The current study shows the positive effect of HBE in HD, especially on motor function and QoL. No significant adverse events were reported. The current results support the clinical effect of HBE intervention on motor function and QoL in HD patients. However, these results should be taken with caution due to the limited available evidence. Well-designed clinical studies that consider the disease severity and stages are required in the future.
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Affiliation(s)
- Mohammad Al-Wardat
- Department of Rehabilitation Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid P.O. Box 3030, Jordan
| | - Tommaso Schirinzi
- Department of Systems Medicine, University of Roma Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Hikmat Hadoush
- Department of Rehabilitation Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid P.O. Box 3030, Jordan
| | - Manal Kassab
- Department of Maternal and Child Health, Faculty of Nursing, Jordan University of Science and Technology, Irbid P.O. Box 3030, Jordan
| | - Mohammad A. Yabroudi
- Department of Rehabilitation Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid P.O. Box 3030, Jordan
| | - Józef Opara
- Department of Physiotherapy, The Jerzy Kukuczka Academy of Physical Education, 40-065 Katowice, Poland
| | | | - Hanan Khalil
- Department of Physical Therapy and Rehabilitation Sciences, College of Health Sciences, Qatar University, Doha P.O. Box 2713, Qatar
| | - Mohammad Etoom
- Physical Therapy Department, Aqaba University of Technology, Aqaba 77110, Jordan
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16
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Gryfe P, Sexton A, McGibbon CA. Using gait robotics to improve symptoms of Parkinson's disease: an open-label, pilot randomized controlled trial. Eur J Phys Rehabil Med 2022; 58:723-737. [PMID: 35708047 PMCID: PMC10019475 DOI: 10.23736/s1973-9087.22.07549-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND People with Parkinson's Disease (PD) have difficulty participating in exercise. AIM The primary objective of this pilot randomized controlled trial (RCT) was to determine if 8 weeks (2x per week) of bilateral exoskeleton (Exo) exercise results in positive changes in cognition and participation in adults with PD compared to exercising without an exoskeleton (Nxo) or wait-list control (Con). DESIGN Open-label, parallel, pilot randomized controlled trial. SETTING Neurorehabilitation clinic in a large urban center. POPULATION Adults 50-85 years old with a confirmed diagnosis of PD. METHODS Eight weeks of twice-weekly combined aerobic, strength and mobility exercise or wait-list control. Participants were randomly assigned to exercise with no exoskeleton (Nxo), exercise with the exoskeleton (Exo), or waitlist control (Con). Primary endpoints were change in cognitive function (SCOPA-COG) and mood. Secondary endpoints were change in gait speed, six-minute walk test (6MWT), freezing of gait, balance, and PD-specific health and quality of life outcomes. Safety endpoint was analysis of adverse events (AE). RESULTS Forty participated in the trial (Exo, N.=13; Nxo, N.=14; Con, N.=13). Significant improvement in the Memory & Learning domain of the SCOPA-COG (P=0.014) and 6MWT (P=0.008) were detected for the Exo group compared to the Nxo and/or Con group. No other statistically significant between-groups effects were found. There were no serious or unanticipated AE. CONCLUSIONS Functional exercise with a low-profile overground exoskeleton showed promising results for improving memory and gait endurance in people with PD across HY stages I-IV. CLINICAL REHABILITATION IMPACT Exoskeletons can improve participation in high-intensity exercise.
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Affiliation(s)
- Pearl Gryfe
- Assistive Technology Clinic, Toronto, ON, Canada
| | - Andrew Sexton
- Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, Canada
| | - Chris A McGibbon
- Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, Canada - .,Faculty of Kinesiology, University of New Brunswick, Fredericton, NB, Canada
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17
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Guo Y, Yang J, Liu Y, Chen X, Yang GZ. Detection and assessment of Parkinson's disease based on gait analysis: A survey. Front Aging Neurosci 2022; 14:916971. [PMID: 35992585 PMCID: PMC9382193 DOI: 10.3389/fnagi.2022.916971] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 07/08/2022] [Indexed: 11/13/2022] Open
Abstract
Neurological disorders represent one of the leading causes of disability and mortality in the world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often manifested as impaired posture and gait. These impairments have been used as a clinical sign for the early detection of PD, as well as an objective index for pervasive monitoring of the PD patients in daily life. This review presents the evidence that demonstrates the relationship between human gait and PD, and illustrates the role of different gait analysis systems based on vision or wearable sensors. It also provides a comprehensive overview of the available automatic recognition systems for the detection and management of PD. The intervening measures for improving gait performance are summarized, in which the smart devices for gait intervention are emphasized. Finally, this review highlights some of the new opportunities in detecting, monitoring, and treating of PD based on gait, which could facilitate the development of objective gait-based biomarkers for personalized support and treatment of PD.
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Affiliation(s)
- Yao Guo
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
| | - Jianxin Yang
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
| | - Yuxuan Liu
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
| | - Xun Chen
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China
| | - Guang-Zhong Yang
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
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18
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The Category of Conventional Physiotherapy: The Case of Parkinson’s Disease Guidelines. J Pers Med 2022; 12:jpm12050730. [PMID: 35629152 PMCID: PMC9143172 DOI: 10.3390/jpm12050730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 04/27/2022] [Accepted: 04/28/2022] [Indexed: 12/10/2022] Open
Abstract
This opinion paper reviews the use of the category of “conventional physiotherapy” (CPT) in Parkinson’s disease (PD)-relevant reviews and meta-analyses and points out serious inconsistencies within and among them. These are first discussed in general, leading to the conclusion that, in most cases, the category of CPT encompasses a range of incompatible interventions. This undermines previous conclusions about their superiority or inferiority relative to various other treatment modalities. Next, the update to the European Physiotherapy Guidelines is discussed in detail, since it treats CPT as a global and time-independent category per se, ascribing effects in various domains to it. This introduces several important biases into the findings presented in this publication. These are subsequently discussed, and it is concluded that the categorisation of various physiotherapy techniques under the umbrella term of CPT is empty, or even dangerous, and should be abandoned. Other categories are suggested as a replacement, including “Other Physiotherapy Techniques” and “Multimodal Training”.
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19
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van Dellen F, Labruyère R. Settings matter: a scoping review on parameters in robot-assisted gait therapy identifies the importance of reporting standards. J Neuroeng Rehabil 2022; 19:40. [PMID: 35459246 PMCID: PMC9034544 DOI: 10.1186/s12984-022-01017-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 04/04/2022] [Indexed: 12/02/2022] Open
Abstract
Background Lokomat therapy for gait rehabilitation has become increasingly popular. Most evidence suggests that Lokomat therapy is equally effective as but not superior to standard therapy approaches. One reason might be that the Lokomat parameters to personalize therapy, such as gait speed, body weight support and Guidance Force, are not optimally used. However, there is little evidence available about the influence of Lokomat parameters on the effectiveness of the therapy. Nevertheless, an appropriate reporting of the applied therapy parameters is key to the successful clinical transfer of study results. The aim of this scoping review was therefore to evaluate how the currently available clinical studies report Lokomat parameter settings and map the current literature on Lokomat therapy parameters. Methods and results A systematic literature search was performed in three databases: Pubmed, Scopus and Embase. All primary research articles performing therapy with the Lokomat in neurologic populations in English or German were included. The quality of reporting of all clinical studies was assessed with a framework developed for this particular purpose. We identified 208 studies investigating Lokomat therapy in patients with neurologic diseases. The reporting quality was generally poor. Less than a third of the studies indicate which parameter settings have been applied. The usability of the reporting for a clinical transfer of promising results is therefore limited. Conclusion Although the currently available evidence on Lokomat parameters suggests that therapy parameters might have an influence on the effectiveness, there is currently not enough evidence available to provide detailed recommendations. Nevertheless, clinicians should pay close attention to the reported therapy parameters when translating research findings to their own clinical practice. To this end, we propose that the quality of reporting should be improved and we provide a reporting framework for authors as a quality control before submitting a Lokomat-related article. Supplementary Information The online version contains supplementary material available at 10.1186/s12984-022-01017-3.
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Affiliation(s)
- Florian van Dellen
- Sensory-Motor Systems Lab, Department of Health Sciences and Technology, ETH Zurich, Tannenstrasse 1, 8092, Zurich, Switzerland. .,Swiss Children's Rehab, University Children's Hospital Zurich, Mühlebergstrasse 104, 8910, Affoltern am Albis, Switzerland. .,Children's Research Center, University Children's Hospital of Zurich, University of Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland.
| | - Rob Labruyère
- Swiss Children's Rehab, University Children's Hospital Zurich, Mühlebergstrasse 104, 8910, Affoltern am Albis, Switzerland.,Children's Research Center, University Children's Hospital of Zurich, University of Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland
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20
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Ferrazzoli D, Ortelli P, Iansek R, Volpe D. Rehabilitation in movement disorders: From basic mechanisms to clinical strategies. HANDBOOK OF CLINICAL NEUROLOGY 2022; 184:341-355. [PMID: 35034747 DOI: 10.1016/b978-0-12-819410-2.00019-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Movement disorders encompass a variety of conditions affecting the nervous system at multiple levels. The pathologic processes underlying movement disorders alter the normal neural functions and could lead to aberrant neuroplastic changes and to clinical phenomenology that is not expressed only through mere motor symptoms. Given this complexity, the responsiveness to pharmacologic and surgical therapies is often disappointing. Growing evidence supports the efficacy of neurorehabilitation for the treatment of movement disorders. Specific form of training involving both goal-based practice and aerobic training could drive and modulate neuroplasticity in order to restore the circuitries dysfunctions and to achieve behavioral gains. This chapter provides an overview of the alterations expressed in some movement disorders in terms of clinical signs and symptoms and plasticity, and suggests which ones and why tailored rehabilitation strategies should be adopted for the management of the different movement disorders.
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Affiliation(s)
- Davide Ferrazzoli
- Department of Neurorehabilitation, Hospital of Vipiteno (SABES-ASDAA), Vipiteno-Sterzing, Italy; Department of Parkinson's Disease, Fresco Parkinson Center, Movement Disorders and Brain Injury Rehabilitation, "Moriggia-Pelascini" Hospital-Gravedona ed Uniti, Como, Italy
| | - Paola Ortelli
- Department of Parkinson's Disease, Fresco Parkinson Center, Movement Disorders and Brain Injury Rehabilitation, "Moriggia-Pelascini" Hospital-Gravedona ed Uniti, Como, Italy; Department of Parkinson's Disease, Fresco Parkinson Center, Movement Disorders and Brain Injury Rehabilitation, "Moriggia-Pelascini" Hospital-Gravedona ed Uniti, Como, Italy
| | - Robert Iansek
- Clinical Research Centre for Movement Disorders and Gait, National Parkinson Foundation Center of Excellence, Monash Health, Cheltenham, VIC, Australia; School of Clinical Sciences, Monash University, Clayton, VIC, Australia
| | - Daniele Volpe
- Department of Rehabilitation, Fresco Parkinson Center, Villa Margherita, S. Stefano Riabilitazione, Vicenza, Italy
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21
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Pang MY. Physiotherapy management of Parkinson's disease. J Physiother 2021; 67:163-176. [PMID: 34154949 DOI: 10.1016/j.jphys.2021.06.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 05/03/2021] [Accepted: 06/07/2021] [Indexed: 02/07/2023] Open
Affiliation(s)
- Marco Yc Pang
- Department of Rehabilitation Sciences, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong.
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22
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Cumplido C, Delgado E, Ramos J, Puyuelo G, Garcés E, Destarac MA, Plaza A, Hernández M, Gutiérrez A, García E. Gait-assisted exoskeletons for children with cerebral palsy or spinal muscular atrophy: A systematic review. NeuroRehabilitation 2021; 49:333-348. [PMID: 34219676 DOI: 10.3233/nre-210135] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cerebral Palsy (CP) and Spinal Muscular Atrophy (SMA) are common causes of motor disability in childhood. Gait exoskeletons are currently being used as part of rehabilitation for children with walking difficulties. OBJECTIVE To assess the safety and efficacy and describe the main characteristics of the clinical articles using robot-assisted gait training (RAGT) with exoskeleton for children with CP or SMA. METHODS A computer search was conducted in five bibliographic databases regarding clinical studies published in the last ten years. In order to be included in this review for further analysis, the studies had to meet the following criteria: (1) assess efficacy or safety of interventions; (2) population had to be children with CP or SMA aged between 3 and 14; (3) exoskeleton must be bilateral and assist lower limbs during walking. RESULTS Twenty-one articles were selected, of which only five were clinical trials. 108 participants met the inclusion criteria for this study, all with a diagnosis of CP. The evidence level of the selected papers was commonly low. CONCLUSIONS RAGT therapy seems to be safe for children with CP. However, further investigation is needed to confirm the results related to efficacy. There is no evidence of RAGT therapy for SMA children.
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Affiliation(s)
- Carlos Cumplido
- Centro de Automática y Robótica, Consejo Superior de Investigaciones Científicas (CSIC-UPM), Madrid, Spain
| | - Elena Delgado
- Centro de Automática y Robótica, Consejo Superior de Investigaciones Científicas (CSIC-UPM), Madrid, Spain
| | - Jaime Ramos
- Centro de Automática y Robótica, Consejo Superior de Investigaciones Científicas (CSIC-UPM), Madrid, Spain
| | - Gonzalo Puyuelo
- Marsi Bionics S.L., Madrid, Spain.,Escuela Internacional de Doctorado, Universidad Rey Juan Carlos, Madrid, Spain
| | - Elena Garcés
- Centro de Automática y Robótica, Consejo Superior de Investigaciones Científicas (CSIC-UPM), Madrid, Spain.,Marsi Bionics S.L., Madrid, Spain.,Programa de Doctorado en Ciencias de la Salud. Universidad de Alcalá, Madrid, Spain
| | | | - Alberto Plaza
- Marsi Bionics S.L., Madrid, Spain.,Universidad Politécnica de Madrid, Madrid, Spain
| | - Mar Hernández
- Centro de Automática y Robótica, Consejo Superior de Investigaciones Científicas (CSIC-UPM), Madrid, Spain
| | - Alba Gutiérrez
- Centro de Automática y Robótica, Consejo Superior de Investigaciones Científicas (CSIC-UPM), Madrid, Spain
| | - Elena García
- Centro de Automática y Robótica, Consejo Superior de Investigaciones Científicas (CSIC-UPM), Madrid, Spain
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23
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Picelli A, Capecci M, Filippetti M, Varalta V, Fonte C, DI Censo R, Zadra A, Chignola I, Scarpa S, Amico AP, Antenucci R, Baricich A, Benanti P, Bissolotti L, Boldrini P, Bonaiuti D, Castelli E, Cavalli L, DI Stefano G, Draicchio F, Falabella V, Galeri S, Gimigliano F, Grigioni M, Jonsdodttir J, Lentino C, Massai P, Mazzoleni S, Mazzon S, Molteni F, Morelli S, Morone G, Panzeri D, Petrarca M, Posteraro F, Senatore M, Taglione E, Turchetti G, Bowman T, Nardone A. Effects of robot-assisted gait training on postural instability in Parkinson's disease: a systematic review. Eur J Phys Rehabil Med 2021; 57:472-477. [PMID: 33826278 DOI: 10.23736/s1973-9087.21.06939-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Postural instability is a cardinal feature of Parkinson's disease, together with rest tremor, rigidity and bradykinesia. It is a highly disabling symptom that becomes increasingly common with disease progression and represents a major source of reduced quality of life in patients with Parkinson's disease. Rehabilitation aims to enable patients with Parkinson's disease to maintain their maximum level of mobility, activity and independence. To date, a wide range of rehabilitation approaches has been employed to treat postural instability in Parkinson's disease, including robotic training. Our main aim was to conduct a systematic review of current literature about the effects of robot-assisted gait training on postural instability in patients with Parkinson's disease. EVIDENCE ACQUISITION A systematic search using the following MeSH terms "Parkinson disease," "postural balance," "robotics," "rehabilitation" AND string "robotics [mh]" OR "robot-assisted" OR "electromechanical" AND "rehabilitation [mh]" OR "training" AND "postural balance [mh]" was conducted on PubMed, Cochrane Library and Pedro electronic databases. Full text articles in English published up to December 2020 were included. Data about patient characteristics, robotic devices, treatment procedures and outcome measures were considered. Every included article got checked for quality. Level of evidence was defined for all studies. EVIDENCE SYNTHESIS Three authors independently extracted and verified data. In total, 18 articles (2 systematic reviews, 9 randomized controlled trials, 4 uncontrolled studies and 3 case series/case reports) were included. Both end-effector and exoskeleton devices were investigated as to robot-assisted gait training modalities. No clear relationship between treatment parameters and clinical conditions was observed. We found a high level of evidence about the effects of robot-assisted gait training on balance and freezing of gait in patients with Parkinson's disease. CONCLUSIONS This systematic review provides to the reader a complete overview of current literature and levels of evidence about the effects of robot-assisted gait training on postural instability issues (static and dynamic balance, freezing of gait, falls, confidence in activities of daily living and gait parameters related to balance skills) in patients with Parkinson's disease.
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Affiliation(s)
- Alessandro Picelli
- Unit of Neurorehabilitation, Department of Neuroscience, Biomedicine, and Movement Sciences, University Hospital of Verona, University of Verona, Verona, Italy -
| | | | - Mirko Filippetti
- Unit of Neurorehabilitation, Department of Neuroscience, Biomedicine, and Movement Sciences, University Hospital of Verona, University of Verona, Verona, Italy
| | - Valentina Varalta
- Unit of Neurorehabilitation, Department of Neuroscience, Biomedicine, and Movement Sciences, University Hospital of Verona, University of Verona, Verona, Italy
| | - Cristina Fonte
- Unit of Neurorehabilitation, Department of Neuroscience, Biomedicine, and Movement Sciences, University Hospital of Verona, University of Verona, Verona, Italy
| | - Rita DI Censo
- Unit of Neurorehabilitation, Department of Neuroscience, Biomedicine, and Movement Sciences, University Hospital of Verona, University of Verona, Verona, Italy
| | - Alessandro Zadra
- Unit of Neurorehabilitation, Department of Neuroscience, Biomedicine, and Movement Sciences, University Hospital of Verona, University of Verona, Verona, Italy
| | - Irene Chignola
- Unit of Neurorehabilitation, Department of Neuroscience, Biomedicine, and Movement Sciences, University Hospital of Verona, University of Verona, Verona, Italy
| | - Stefano Scarpa
- Unit of Neurorehabilitation, Department of Neuroscience, Biomedicine, and Movement Sciences, University Hospital of Verona, University of Verona, Verona, Italy
| | | | | | | | | | | | - Paolo Boldrini
- Italian Society of Physical and Rehabilitative Medicine, Rome, Italy
| | | | | | | | | | | | | | | | | | | | | | | | - Perla Massai
- Tuscany Rehabilitation Clinic, Montevarchi, Arezzo, Italy
| | - Stefano Mazzoleni
- Polytechnic University of Bari, Bari, Italy.,The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Pisa, Italy
| | | | - Franco Molteni
- Valduce Villa Beretta Hospital, Costa Masnaga, Lecco, Italy
| | | | | | | | | | | | - Michele Senatore
- Italian Association of Occupational Therapists (AITO), Rome, Italy
| | | | | | - Thomas Bowman
- IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy.,The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Pisa, Italy
| | - Antonio Nardone
- University of Pavia, Pavia, Italy.,ICS Maugeri SPA SB (IRCCS), Pavia, Italy
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24
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Analysis of Gait for Disease Stage in Patients with Parkinson's Disease. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18020720. [PMID: 33467634 PMCID: PMC7830506 DOI: 10.3390/ijerph18020720] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 01/07/2021] [Accepted: 01/13/2021] [Indexed: 11/16/2022]
Abstract
Understanding the motor patterns underlying the movement of individuals with Parkinson's disease (PD) is fundamental to the effective targeting of non-pharmacological therapies. This study aimed to analyze the gait pattern in relation to the evolutionary stages I-II and III-IV according to the Hoehn and Yahr (H&Y) scale in individuals affected by PD. The study was conducted with the participation of 37 PD patients with a mean age of 70.09 ± 9.53 years, and of whom 48.64% were women. The inclusion criteria were (1) to be diagnosed with PD; (2) to be in an evolutionary stage of the disease between I and IV: and (3) to be able to walk independently and without any assistance. Kinematic and spatial-temporal parameters of the gait were analyzed. The results showed differences in speed of movement, cadence, stride length, support duration, swing duration, step width, walking cycle duration, and double support time between the stages analyzed. These results confirmed the differences in PD gait pattern between stages I-II and III-IV. Different behaviors of the same variable were recorded depending on whether the right or left side was affected by PD.
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25
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Therapeutic interventions for Pisa syndrome in idiopathic Parkinson's disease. A Scoping Systematic Review. Clin Neurol Neurosurg 2020; 198:106242. [DOI: 10.1016/j.clineuro.2020.106242] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 09/13/2020] [Accepted: 09/14/2020] [Indexed: 12/28/2022]
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26
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Bevilacqua R, Maranesi E, Di Rosa M, Luzi R, Casoni E, Rinaldi N, Baldoni R, Lattanzio F, Di Donna V, Pelliccioni G, Riccardi GR. Rehabilitation of older people with Parkinson's disease: an innovative protocol for RCT study to evaluate the potential of robotic-based technologies. BMC Neurol 2020; 20:186. [PMID: 32404132 PMCID: PMC7222584 DOI: 10.1186/s12883-020-01759-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 05/03/2020] [Indexed: 11/12/2022] Open
Abstract
Background Parkinson’s disease is one of the most frequent causes of disability among the older adults. It is a chronic-progressive neuro-degenerative disease, characterized by several motor disorders. Balance disorders are a symptom that involves the body axis and do not respond to dopaminergic therapy used in Parkinson’s disease. Therefore, physiotherapy becomes an important intervention for the management of motor disorders. Originally, these rehabilitative approaches were based on empirical experiences, but several scientific evidences suggests that neuronal plasticity is exercise-dependent. In this context, robotic rehabilitation plays an important role because it allows to perform task-oriented exercises and to increase the number of repetitions and their intensity. This protocol study aims to evaluate the effectiveness of robotic-based intervention of the older adults with Parkinson’s disease, designed to improve the gait and to reduce the risk of falling. Methods This study is a single-blinded randomized controlled trial. The primary outcomes are: risk of falling, gait performance and fear of falling measured through Performance-Oriented Mobility Assessment (POMA), instrumental gait analysis and Short Falls Efficacy Scale – International (FES-I), respectively. One hundred ninety-five patients with PD will be recruited and randomly divided into three groups, to receive a traditional rehabilitation program or a robotic rehabilitation using Tymo system or Walker View in addition to the traditional therapy. Assessments will be performed at baseline, at the end of treatment and 6 months, 1 year and 2 years from the end of the treatment. A 10-treatment session will be conducted, divided into 2 training sessions per week, for 5 weeks. The control group will perform traditional therapy sessions lasting 50 min. The technological intervention group will carry out 30 min of traditional therapy and 20 min of treatment with a robotic system. Discussion The final goals of the present study are to propose a new approach in the PD rehabilitation, focused on the use of robotic device, and to check the results not only at the end of the treatment but also in the long term. Trial registration NCT04087031, registration date September 12, 2019.
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Affiliation(s)
| | - Elvira Maranesi
- Scientific Direction, IRCCS INRCA, Ancona, Italy.,Clinical Unit of Physical Rehabilitation, IRCCS INRCA, Ancona, Italy
| | - Mirko Di Rosa
- Unit of Geriatric Pharmacoepidemiology, IRCCS INRCA, Ancona, Italy
| | | | - Elisa Casoni
- Clinical Unit of Physical Rehabilitation, IRCCS INRCA, Ancona, Italy
| | - Nadia Rinaldi
- Clinical Unit of Physical Rehabilitation, IRCCS INRCA, Fermo, Italy
| | - Renato Baldoni
- Clinical Unit of Physical Rehabilitation, IRCCS INRCA, Ancona, Italy
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27
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Kotani N, Morishita T, Yatsugi A, Fujioka S, Kamada S, Shiota E, Tsuboi Y, Inoue T. Biofeedback Core Exercise Using Hybrid Assistive Limb for Physical Frailty Patients With or Without Parkinson's Disease. Front Neurol 2020; 11:215. [PMID: 32328021 PMCID: PMC7160316 DOI: 10.3389/fneur.2020.00215] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 03/09/2020] [Indexed: 12/22/2022] Open
Abstract
Introduction: Elderly people often exhibit "frailty," and motor dysfunction occurs. Several studies have reported about the relationship between motor dysfunction and frailty in Parkinson's disease (PD). This study aimed to test whether the core exercise using the hybrid assistive limb lumbar type for care support (HAL-CB02) may improve the motor functions in frailty patients with or without PD and to explore the optimal patient selection from the frailty cohort. Materials and Methods: We recruited 16 frailty patients (PD = 8; non-PD = 8). The participants performed core exercise and squats using HAL-CB02 for five sessions a week. Outcome measures were 10-m walking test, step length, timed up-and-go test, 30-s chair stand test, and visual analog scale. Evaluation was conducted at baseline, post-exercise, and 1- and 3-month follow-ups. Results: Both PD and non-PD patients showed significant improvement in all evaluation items post-exercise. Moreover, no significant difference was found in the improvement value between the two groups. Conclusions: Our results suggest that biofeedback exercise with HAL-CB02 is a safe and promising treatment for frailty patients. Motor dysfunction in PD patients may be partly due to physical frailty, and biofeedback exercise with HAL-CB02 is proposed as a treatment option.
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Affiliation(s)
- Naoya Kotani
- Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan.,Department of Rehabilitation Medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Takashi Morishita
- Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan
| | - Aya Yatsugi
- Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan.,Department of Rehabilitation Medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Shinsuke Fujioka
- Department of Neurology, Fukuoka University Faculty of Medicine, Fukuoka, Japan
| | - Satoshi Kamada
- Department of Rehabilitation Medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Etsuji Shiota
- Department of Rehabilitation Medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Yoshio Tsuboi
- Department of Neurology, Fukuoka University Faculty of Medicine, Fukuoka, Japan
| | - Tooru Inoue
- Department of Neurosurgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan
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28
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Banerjee A, Lamrani I, Hossain S, Paudyal P, Gupta SKS. AI Enabled Tutor for Accessible Training. LECTURE NOTES IN COMPUTER SCIENCE 2020. [PMCID: PMC7334183 DOI: 10.1007/978-3-030-52237-7_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
A significant number of jobs require highly skilled labor which necessitate training on pre-requisite knowledge. Examples include jobs in military, technical field such computer science, large scale fulfillment centers such as Amazon. Moreover, making such jobs accessible to the disabled population requires even more pre-requisite training such as knowledge of sign language. An artificial intelligent (AI) agent can potentially act as a tutor for such pre-requisite training. This will not only reduce resource requirements for such training but also decrease the time taken for making personnel job ready. In this paper, we develop an AI tutor that can teach users gestures that are required on the field as a pre-requisite. The AI tutor uses a model learning technique that learns the gestures performed by experts. It then uses a model comparison technique to compare a learner with the expert gesture and provides feedback for the learner to improve.
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29
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Capecci M, Pournajaf S, Galafate D, Sale P, Le Pera D, Goffredo M, De Pandis MF, Andrenelli E, Pennacchioni M, Ceravolo MG, Franceschini M. Clinical effects of robot-assisted gait training and treadmill training for Parkinson's disease. A randomized controlled trial. Ann Phys Rehabil Med 2019; 62:303-312. [DOI: 10.1016/j.rehab.2019.06.016] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2019] [Revised: 06/28/2019] [Accepted: 06/30/2019] [Indexed: 11/25/2022]
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30
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Alwardat M, Etoom M. Effectiveness of robot-assisted gait training on freezing of gait in people with Parkinson disease: evidence from a literature review. J Exerc Rehabil 2019; 15:187-192. [PMID: 31110999 PMCID: PMC6509465 DOI: 10.12965/jer.1836618.309] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 01/15/2019] [Indexed: 11/22/2022] Open
Abstract
The aim of this review was to evaluate, summarize and discuss the available literature concerning the effect of robot-assisted gait training (RAGT) on patient with Parkinson disease (PD) and freezing of gait (FOG). A comprehensive literature search was conducted utilizing of MEDLINE, Embase, Scopus, Web of Science, PEDro (Physiotherapy Evidence Database), and the Cochrane Review. Search terms used in-cluded 'Parkinson disease,' 'Freezing of gait,' 'RAGT,' 'robot-assisted gait training,' 'Locomotor rehabilitation,' 'gait trainer,' and 'robotics assisted gait training.' A total of 4 studies were evaluated, but these studies were primarily of low-level evidence. All the 4 studies noted positive outcomes with using RAGT on FOG. No adverse events or side effects that occurred during and/or after the interventions. While the current literature generally offers support for the use of RAGT for FOG treatment, there is a paucity of strong evidence to support its widespread use. The increasing availability of RAGT technology offers the potential for engaging therapy in FOG rehabilitation, but its utility remains uncertain given the limited studies available at this time.
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Affiliation(s)
- Mohammad Alwardat
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.,Neuroscience PhD School, University of Rome "Tor Vergata", Rome, Italy
| | - Mohammad Etoom
- Department of Physical Therapy, Al-Isra University, Amman, Jordan
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