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Ju F, Wang Y, Xie B, Mi Y, Zhao M, Cao J. The Use of Sports Rehabilitation Robotics to Assist in the Recovery of Physical Abilities in Elderly Patients with Degenerative Diseases: A Literature Review. Healthcare (Basel) 2023; 11:healthcare11030326. [PMID: 36766901 PMCID: PMC9914201 DOI: 10.3390/healthcare11030326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 01/24/2023] Open
Abstract
The increase in the number of elderly patients with degenerative diseases has brought additional medical and financial pressures, which are adding to the burden on society. The development of sports rehabilitation robotics (SRR) is becoming increasingly sophisticated at the technical level of its application; however, few studies have analyzed how it works and how effective it is in aiding rehabilitation, and fewer individualized exercise rehabilitation programs have been developed for elderly patients. The purpose of this study was to analyze the working methods and the effects of different types of SRR and then to suggest the feasibility of applying SRR to enhance the physical abilities of elderly patients with degenerative diseases. The researcher's team searched 633 English-language journal articles, which had been published over the past five years, and they selected 38 of them for a narrative literature review. Our summary found the following: (1) The current types of SRR are generally classified as end-effector robots, smart walkers, intelligent robotic rollators, and exoskeleton robots-exoskeleton robots were found to be the most widely used. (2) The current working methods include assistant tools as the main intermediaries-i.e., robots assist patients to participate; patients as the main intermediaries-i.e., patients dominate the assistant tools to participate; and sensors as the intermediaries-i.e., myoelectric-driven robots promote patient participation. (3) Better recovery was perceived for elderly patients when using SRR than is generally achieved through the traditional single-movement recovery methods, especially in strength, balance, endurance, and coordination. However, there was no significant improvement in their speed or agility after using SRR.
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Affiliation(s)
- Fangyuan Ju
- Department of Physical Education, Yangzhou University, Yangzhou 225012, China
| | - Yujie Wang
- Department of Physical Education, Yangzhou University, Yangzhou 225012, China
| | - Bin Xie
- Department of Physical Education, Yangzhou University, Yangzhou 225012, China
| | - Yunxuan Mi
- Department of Physical Education, Yangzhou University, Yangzhou 225012, China
| | - Mengyun Zhao
- Department of Physical Education, Yangzhou University, Yangzhou 225012, China
| | - Junwei Cao
- Department of Business, Yangzhou University, Yangzhou 225012, China
- Correspondence:
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Grosmaire AG, Pila O, Breuckmann P, Duret C. Robot-assisted therapy for upper limb paresis after stroke: Use of robotic algorithms in advanced practice. NeuroRehabilitation 2022; 51:577-593. [PMID: 36530096 DOI: 10.3233/nre-220025] [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: 12/14/2022]
Abstract
BACKGROUND Rehabilitation of stroke-related upper limb paresis is a major public health issue. OBJECTIVE Robotic systems have been developed to facilitate neurorehabilitation by providing key elements required to stimulate brain plasticity and motor recovery, namely repetitive, intensive, adaptative training with feedback. Although the positive effect of robot-assisted therapy on motor impairments has been well demonstrated, the effect on functional capacity is less certain. METHOD This narrative review outlines the principles of robot-assisted therapy for the rehabilitation of post-stroke upper limb paresis. RESULTS A paradigm is proposed to promote not only recovery of impairment but also function. CONCLUSION Further studies that would integrate some principles of the paradigm described in this paper are needed.
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Affiliation(s)
- Anne-Gaëlle Grosmaire
- Unité de Neurorééducation, Médecine Physique et de Réadaptation, Centre de Rééducation Fonctionnelle Les Trois Soleils, Boissise-Le-Roi, France
| | - Ophélie Pila
- Unité de Neurorééducation, Médecine Physique et de Réadaptation, Centre de Rééducation Fonctionnelle Les Trois Soleils, Boissise-Le-Roi, France
| | - Petra Breuckmann
- Unité de Neurorééducation, Médecine Physique et de Réadaptation, Centre de Rééducation Fonctionnelle Les Trois Soleils, Boissise-Le-Roi, France
| | - Christophe Duret
- Unité de Neurorééducation, Médecine Physique et de Réadaptation, Centre de Rééducation Fonctionnelle Les Trois Soleils, Boissise-Le-Roi, France
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Wen D, Yao W, Xu J, Wang S, Zhong Y, Chen H, Dong X, Saripan MI, Zhou Y. Electronic Science Games Used to Enhance Cognitive Ability: Opinion of Design From Personalization and Adaptation. Front Aging Neurosci 2021; 13:789547. [PMID: 34867306 PMCID: PMC8633556 DOI: 10.3389/fnagi.2021.789547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 10/20/2021] [Indexed: 11/20/2022] Open
Affiliation(s)
- Dong Wen
- Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China
| | - Wang Yao
- School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
| | - Jian Xu
- School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
| | - Shaochang Wang
- School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
| | - Yingzhu Zhong
- School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
| | - Hongqian Chen
- School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
| | - Xianling Dong
- Department of Biomedical Engineering, Chengde Medical University, Chengde, China
| | - M Iqbal Saripan
- Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia
| | - Yanhong Zhou
- School of Mathematics and Information Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao, China
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Qu Q, Lin Y, He Z, Fu J, Zou F, Jiang Z, Guo F, Jia J. The Effect of Applying Robot-Assisted Task-Oriented Training Using Human-Robot Collaborative Interaction Force Control Technology on Upper Limb Function in Stroke Patients: Preliminary Findings. BIOMED RESEARCH INTERNATIONAL 2021; 2021:9916492. [PMID: 34368358 PMCID: PMC8342143 DOI: 10.1155/2021/9916492] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 05/13/2021] [Accepted: 07/11/2021] [Indexed: 02/08/2023]
Abstract
Stroke is one of the leading causes of death and the primary cause of acquired disability worldwide. Many stroke survivors have difficulty using their upper limbs, which have important functional roles in the performance of daily life activities. Consequently, the independence and quality of life of most stroke patients are reduced. Robot-assisted therapy is an effective intervention for improving the upper limb function of individuals with stroke. Human-robot collaborative interaction force control technology is critical for improving the flexibility and followability of the robot's motion, thereby improving rehabilitation training outcomes. However, there are few reports on the effect of robot-assisted rehabilitative training on upper limb function. We applied this technology using a robot to assist patients with task-oriented training. Posttreatment changes in Fugl-Meyer and modified Barthel index (MBI) scores were assessed to determine whether this technology could improve the upper limb function of stroke patients. One healthy adult and five stroke patients, respectively, participated in functional and clinical experiments. The MBI and Fugl-Meyer scores of the five patients in the clinical experiments showed significant improvements after the intervention. The experimental results indicate that human-robot collaborative interaction force control technology is valuable for improving robots' properties and patients' recovery. This trial was registered in the Chinese clinical trial registry (ChiCTR2000038676).
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Affiliation(s)
- Qingming Qu
- Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, China
| | - Yingnan Lin
- Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, China
| | - Zhijie He
- Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, China
| | - Jianghong Fu
- Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, China
| | - Fei Zou
- Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, China
| | - Zewu Jiang
- Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, China
| | - Fengxian Guo
- Shanghai Electric GeniKIT Medical Science and Technology Co. Ltd., Shanghai, China
| | - Jie Jia
- Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, China
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Oyake K, Suzuki M, Otaka Y, Momose K, Tanaka S. Motivational Strategies for Stroke Rehabilitation: A Delphi Study. Arch Phys Med Rehabil 2020; 101:1929-1936. [PMID: 32753111 DOI: 10.1016/j.apmr.2020.06.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 06/17/2020] [Accepted: 06/27/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVES The primary objective was to provide a list of effective motivational strategies based on consensus among rehabilitation experts, generated using the Delphi technique. The secondary objective was to identify the types of information that are important when selecting motivational strategies. DESIGN Delphi study. SETTING On-site survey at academic conferences and web-based survey. PARTICIPANTS Rehabilitation experts (N=198) including physicians, physical therapists, occupational therapists, and speech-language-hearing therapists who had worked in stroke rehabilitation for at least 5 years. INTERVENTION Not applicable. MAIN OUTCOME MEASURES Panelists were asked to rate the effectiveness of motivational strategies and to rate the importance of different types of information using a 5-point Likert scale. Consensus was defined as having been reached for items with an interquartile range of 1 or less. RESULTS A total of 116 experts (58.6%) completed the third round of the Delphi survey. Consensus was reached on all of the 26 presented strategies. Seven strategies, such as control of task difficulty and goal setting, were considered to be very effective in increasing patient motivation. In addition, all 11 of the presented types of information regarding patient health status, environmental factors, and personal factors were deemed very important or important in determining which motivational strategies to use. CONCLUSIONS We generated a list of effective motivational strategies for stroke rehabilitation based on expert consensus. Our results suggest that experts consider a comprehensive range of patient information when choosing motivational strategies. These findings represent a group of consensus-based recommendations for increasing patient adherence to stroke rehabilitation programs, which may be beneficial to many medical professionals working in stroke rehabilitation.
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Affiliation(s)
- Kazuaki Oyake
- Department of Physical Therapy, School of Health Sciences, Shinshu University, Nagano
| | - Makoto Suzuki
- Faculty of Health Sciences, Tokyo Kasei University, Saitama
| | - Yohei Otaka
- Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Aichi
| | - Kimito Momose
- Department of Physical Therapy, School of Health Sciences, Shinshu University, Nagano
| | - Satoshi Tanaka
- Laboratory of Psychology, Hamamatsu University School of Medicine, Shizuoka, Japan.
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Oyake K, Suzuki M, Otaka Y, Tanaka S. Motivational Strategies for Stroke Rehabilitation: A Descriptive Cross-Sectional Study. Front Neurol 2020; 11:553. [PMID: 32587572 PMCID: PMC7297944 DOI: 10.3389/fneur.2020.00553] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 05/15/2020] [Indexed: 11/18/2022] Open
Abstract
Background: The addition of motivational strategies to a rehabilitation program is thought to enhance patient adherence and improve outcomes. However, little is known about how rehabilitation professionals motivate stroke patients during rehabilitation. The primary objective of this study was to provide a comprehensive and quantitative list of motivational strategies for stroke rehabilitation. In addition, we aimed to examine (1) whether professionals with more clinical experience used a higher number of motivational strategies, (2) the purpose for using each strategy, and (3) the information considered when choosing strategies. Methods: This descriptive, cross-sectional study was conducted using a web survey with a convenience sample of 407 rehabilitation professionals including physicians, nurses, physical therapists, occupational therapists, and speech-language-hearing therapists. Results: We received data for 362 participants. Fifteen strategies were found to be used by more than 75% of the respondents to motivate their patients. Almost all of the respondents reported that they actively listened to and praised their patients to increase patient adherence to rehabilitation programs. Respondents with more clinical experience tended to use a higher number of motivational strategies (rho = 0.208, p < 0.001). For 11 of the 15 strategies selected by more than 75% of the respondents, the highest percentage of respondents reported that they used the strategies to make rehabilitation worthwhile for their patients. The majority of respondents reported that they decided which motivational strategy to use by considering comprehensive information regarding the patient health condition, environmental factors, and personal factors. Conclusions: The comprehensive list of motivational strategies obtained may be useful for increasing patient adherence to rehabilitation, especially for professionals with less clinical experience. Furthermore, our findings regarding the purpose for using each strategy and the information considered when choose strategies might help rehabilitation professionals to optimally utilize the motivational strategy list.
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Affiliation(s)
- Kazuaki Oyake
- Department of Physical Therapy, School of Health Sciences, Shinshu University, Nagano, Japan
| | - Makoto Suzuki
- Faculty of Health Sciences, Tokyo Kasei University, Saitama, Japan
| | - Yohei Otaka
- Department of Rehabilitation Medicine I, School of Medicine, Fujita Health University, Aichi, Japan
| | - Satoshi Tanaka
- Laboratory of Psychology, Hamamatsu University School of Medicine, Shizuoka, Japan
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Pan L, Zhao L, Song A, Yin Z, She S. A Novel Robot-Aided Upper Limb Rehabilitation Training System Based on Multimodal Feedback. Front Robot AI 2019; 6:102. [PMID: 33501117 PMCID: PMC7805779 DOI: 10.3389/frobt.2019.00102] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 10/08/2019] [Indexed: 11/13/2022] Open
Abstract
During robot-aided rehabilitation exercises, monotonous, and repetitive actions can, to the subject, feel tedious and tiring, so improving the subject's motivation and active participation in the training is very important. A novel robot-aided upper limb rehabilitation training system, based on multimodal feedback, is proposed in this investigation. To increase the subject's interest and participation, a friendly graphical user interface and diversiform game-based rehabilitation training tasks incorporating multimodal feedback are designed, to provide the subject with colorful and engaging motor training. During this training, appropriate visual, auditory, and tactile feedback is employed to improve the subject's motivation via multi-sensory incentives relevant to the training performance. This approach is similar to methods applied by physiotherapists to keep the subject focused on motor training tasks. The experimental results verify the effectiveness of the designed multimodal feedback strategy in promoting the subject's participation and motivation.
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Affiliation(s)
- Lizheng Pan
- School of Mechanical Engineering, Changzhou University, Changzhou, China.,Remote Measurement and Control Key Lab of Jiangsu Province, School of Instrument Science and Engineering, Southeast University, Nanjing, China
| | - Lu Zhao
- School of Mechanical Engineering, Changzhou University, Changzhou, China
| | - Aiguo Song
- Remote Measurement and Control Key Lab of Jiangsu Province, School of Instrument Science and Engineering, Southeast University, Nanjing, China
| | - Zeming Yin
- School of Mechanical Engineering, Changzhou University, Changzhou, China
| | - Shigang She
- School of Mechanical Engineering, Changzhou University, Changzhou, China
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