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Bayazeed A, Almalki G, Alnuaim A, Klem M, Sethi A. Factors Influencing Real-World Use of the More-Affected Upper Limb After Stroke: A Scoping Review. Am J Occup Ther 2024; 78:7802180250. [PMID: 38634670 DOI: 10.5014/ajot.2024.050512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2024] Open
Abstract
IMPORTANCE Current interventions are limited in improving use of the more-affected upper limb in real-world daily occupations and functional independence poststroke. A comprehensive understanding of the factors influencing real-world upper limb use is required to develop interventions to improve functional independence poststroke. OBJECTIVE To systematically review the factors that influence real-world use of the more-affected upper limb poststroke. DATA SOURCES We searched MEDLINE, Embase, PsycINFO, and the Physiotherapy Evidence Database for English-language articles from 2012 to 2023. STUDY SELECTION AND DATA COLLECTION Of 774 studies, we included 33 studies that had participants at least age 18 yr who exhibited upper limb impairments poststroke, objectively measured real-world upper limb use using a movement sensor, and measured factors affecting upper limb use. Two reviewers independently screened the abstracts. FINDINGS The results were categorized by International Classification of Functioning, Disability and Health domains. Prominent factors were upper limb impairment; motor ability; functional independence; task type; hand dominance; stroke-related factors, including time since stroke; and perception of use of the more-affected upper limb. CONCLUSIONS AND RELEVANCE Existing interventions primarily focus on upper limb impairments and motor ability. Our findings suggest that interventions should also incorporate other factors: task type (unilateral vs. bilateral), hand dominance, self-efficacy, and perception of more-affected limb use as active ingredients in improving real-world use of the more-affected upper limb poststroke. We also provide recommendations to use behavioral activation theory in designing an occupation-focused intervention to augment self-efficacy and confidence in use of the more-affected upper limb in daily occupations. Plain-Language Summary: In order to develop interventions to improve functional independence poststroke, occupational therapy practitioners must have a comprehensive understanding of the factors that influence real-world more-affected upper limb use. The study findings provide a set of distinct factors that practitioners can target separately or in combination to improve real-world use of the more-affected upper limb poststroke.
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Affiliation(s)
- Anadil Bayazeed
- Anadil Bayazeed, MSOT, is PhD Candidate, Department of Occupational Therapy, University of Pittsburgh, Pittsburgh, PA, and Teaching Assistant, Occupational Therapy Department, King Saud Bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia;
| | - Ghaleb Almalki
- Ghaleb Almalki, MSOT, is PhD Candidate, Department of Occupational Therapy, University of Pittsburgh, Pittsburgh, PA, and Teaching Assistant, Occupational Therapy Department, King Saud Bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia
| | - Amjad Alnuaim
- Amjad Alnuaim, MSc, is Teaching Assistant, Department of Occupational Therapy, King Saud University, Riyadh, Saudi Arabia. At the time of the study, Alnuaim was Master's Student, Occupational Therapy Department, University of Pittsburgh, Pittsburgh, PA
| | - Mary Klem
- Mary Klem, PhD, MLIS, is Assistant Director for Advanced Information Support, Health Sciences Library System, University of Pittsburgh, Pittsburgh, PA
| | - Amit Sethi
- Amit Sethi, PhD, OTR/L, is Associate Professor, Department of Occupational Therapy, University of Pittsburgh, Pittsburgh, PA
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Spina S, Facciorusso S, D'Ascanio MC, Morone G, Baricich A, Fiore P, Santamato A. Sensor based assessment of turning during instrumented Timed Up and Go Test for quantifying mobility in chronic stroke patients. Eur J Phys Rehabil Med 2023; 59:6-13. [PMID: 36511168 PMCID: PMC10035361 DOI: 10.23736/s1973-9087.22.07647-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Turning may be particularly challenging for stroke patients leading to decreased mobility and increased functional restriction. Timed up and go instrumentation using a simple technology in the clinical context could allow for the collection of both traditional and potentially more discriminatory variables in turning ability. AIM Determine whether the speed turning metrics obtained by a single inertial sensor are suitable for differentiating between stroke patients with varying levels of mobility and disability. DESIGN Cross-sectional study. SETTING Outpatients setting. POPULATION Chronic stroke patients. METHODS A total of 48 chronic stroke patients and 23 healthy controls were included. Stroke patients were divided in two groups based on the total iTUG score: an impaired mobility (> 20 seconds) and an available mobility (<20 seconds) group. All subjects performed an instrumented Timed Up and Go (iTUG) wearing a single IMU sensor on the lower back. Time of subcomponents of the timed up and go test and kinematic parameters of turning were quantified. Other clinical outcomes were: 10 meters walk test, Functional Ambulation Categories Scale (FAC), the Rivermead Mobility Index (RMI), Modified Rankin Scale and the Saltin-Grimby Physical Activity Level Scale (SGPALS). RESULTS There were significant differences (P<0.01) in iTUG phases and turning speeds among groups. Low to strong significant correlations were found between measures derived from the turning speeds and clinical measures. The area under the curve (AUC) of Receiver Operating Characteristic (ROC) turning speeds was demonstrated to be able to discriminate (AUC: 0.742-0.912) from available to impaired stroke patients. CONCLUSIONS This study provides evidence that turning speeds during timed up and go test are accurate measures of mobility and capable of discriminating stroke patients with impaired mobility from those with normal mobility. CLINICAL REHABILITATION IMPACT The turning metrics are related to impairment and mobility in chronic stroke patients; hence they are important to include during clinical evaluation and may assist in creating a customized strategy, assess potential treatments, and effectively organize recovery.
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Affiliation(s)
- Stefania Spina
- Section of Physical Medicine and Rehabilitation, Spasticity and Movement Disorders "ReSTaRt" Unit, Policlinico Riuniti, University of Foggia, Foggia, Italy
| | - Salvatore Facciorusso
- Villa Beretta Rehabilitation Center, Valduce Hospital, Costa Masnaga, Lecco, Italy -
| | - Milena C D'Ascanio
- Section of Physical Medicine and Rehabilitation, Spasticity and Movement Disorders "ReSTaRt" Unit, Policlinico Riuniti, University of Foggia, Foggia, Italy
| | - Giovanni Morone
- Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
- San Raffaele Institute of Sulmona, Sulmona, L'Aquila, Italy
| | - Alessio Baricich
- Physical Medicine and Rehabilitation Unit, University Hospital "Maggiore della Carità", Department of Health Sciences, University of Eastern Piedmont "A. Avogadro", Novara, Italy
| | - Pietro Fiore
- Neurorehabilitation Unit, Istituti Clinici Scientifici Maugeri, IRCCS, Institute of Bari, Bari, Italy
| | - Andrea Santamato
- Section of Physical Medicine and Rehabilitation, Spasticity and Movement Disorders "ReSTaRt" Unit, Policlinico Riuniti, University of Foggia, Foggia, Italy
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Mathunny JJ, Karthik V, Devaraj A, Jacob J. A scoping review on recent trends in wearable sensors to analyze gait in people with stroke: From sensor placement to validation against gold-standard equipment. Proc Inst Mech Eng H 2023; 237:309-326. [PMID: 36704959 DOI: 10.1177/09544119221142327] [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: 01/28/2023]
Abstract
The purpose of the review is to evaluate wearable sensor placement, their impact and validation of wearable sensors on analyzing gait, primarily the postural instability in people with stroke. Databases, namely PubMed, Cochrane, SpringerLink, and IEEE Xplore were searched to identify related articles published since January 2005. The authors have selected the articles by considering patient characteristics, intervention details, and outcome measurements by following the priorly set inclusion and exclusion criteria. From a total of 1077 articles, 142 were included in this study and classified into functional fields, namely postural stability (PS) assessments, physical activity monitoring (PA), gait pattern classification (GPC), and foot drop correction (FDC). The review covers the types of wearable sensors, their placement, and their performance in terms of reliability and validity. When employing a single wearable sensor, the pelvis and foot were the most used locations for detecting gait asymmetry and kinetic parameters, respectively. Multiple Inertial Measurement Units placed at different body parts were effectively used to estimate postural stability and gait pattern. This review article has compared results of placement of sensors at different locations helping researchers and clinicians to identify the best possible placement for sensors to measure specific kinematic and kinetic parameters in persons with stroke.
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Affiliation(s)
- Jaison Jacob Mathunny
- Department of Biomedical Engineering, SRM Institute of Science and Technology, Chennai, India
| | - Varshini Karthik
- Department of Biomedical Engineering, SRM Institute of Science and Technology, Chennai, India
| | - Ashokkumar Devaraj
- Department of Biomedical Engineering, SRM Institute of Science and Technology, Chennai, India
| | - James Jacob
- Department of Physical Therapy, Kindred Healthcare, Munster, IN, USA
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Sengchuai K, Kanjanaroat C, Jaruenpunyasak J, Limsakul C, Tayati W, Booranawong A, Jindapetch N. Development of a Real-Time Knee Extension Monitoring and Rehabilitation System: Range of Motion and Surface EMG Measurement and Evaluation. Healthcare (Basel) 2022; 10:healthcare10122544. [PMID: 36554067 PMCID: PMC9778223 DOI: 10.3390/healthcare10122544] [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: 11/17/2022] [Revised: 12/07/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
In this paper, a real-time knee extension monitoring and rehabilitation system for people, such as patients, the elderly, athletes, etc., is developed and tested. The proposed system has three major functions. The first function is two-channel surface electromyography (EMG) signal measurement and processing for the vastus lateralis (VL) and vastus medialis (VM) muscles using a developed EMG device set. The second function is the knee extension range of motion (ROM) measurement using an angle sensor device set (i.e., accelerometer sensor). Both functions are connected and parallelly processed by the NI-myRIO embedded device. Finally, the third function is the graphical user interface (GUI) using LabVIEW, where the knee rehabilitation program can be defined and flexibly set, as recommended by physical therapists and physicians. Experimental results obtained from six healthy subjects demonstrated that the proposed system can efficiently work with real-time response. It can support multiple rehabilitation users with data collection, where EMG signals with mean absolute value (MAV) and root mean square value (RMS) results and knee extension ROM data can be automatically measured and recorded based on the defined rehabilitation program. Furthermore, the proposed system is also employed in the hospital for validation and evaluation, where bio-feedback EMG and ROM data from six patients, including (a) knee osteoarthritis, (b) herniated disc, (c) knee ligament injury, (d) ischemic stroke, (e) hemorrhagic stroke, and (f) Parkinson are obtained. Such data are also collected for one month for tracking, evaluation, and treatment. With our proposed system, results indicate that the rehabilitation people can practice themselves and know their rehabilitation progress during the time of testing. The system can also evaluate (as a primary treatment) whether the therapy training is successful or not, while experts can simultaneously review the progress and set the optimal treatment program in response to the rehabilitation users. This technology can also be integrated as a part of the Internet of Things (IoT) and smart healthcare systems.
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Affiliation(s)
- Kiattisak Sengchuai
- Department of Electrical Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla 90110, Thailand
| | - Chinnakrit Kanjanaroat
- Department of Electrical Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla 90110, Thailand
| | - Jermphiphut Jaruenpunyasak
- Department of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand
| | - Chonnanid Limsakul
- Department of Rehabilitation Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand
| | - Watcharin Tayati
- Physical Therapy Unit, Department of Rehabilitation, Trang Hospital, Trang 92000, Thailand
| | - Apidet Booranawong
- Department of Electrical Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla 90110, Thailand
| | - Nattha Jindapetch
- Department of Electrical Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla 90110, Thailand
- Correspondence:
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Direct Mobile Coaching as a Paradigm for the Creation of Mobile Feedback Systems. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12115558] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
In sports feedback systems, digital systems perform tasks such as capturing, analysing and representing data. These systems not only aim to provide athletes and coaches with insights into performances but also help athletes learn new tasks and control movements, for example, to prevent injuries. However, designing mobile feedback systems requires a high level of expertise from researchers and practitioners in many areas. As a solution to this problem, we present Direct Mobile Coaching (DMC) as a design paradigm and model for mobile feedback systems. Besides components for feedback provisioning, the model consists of components for data recording, storage and management. For the evaluation of the model, its features are compared against state-of-the-art frameworks. Furthermore, the capabilities are benchmarked using a review of the literature. We conclude that DMC is capable of modelling all 39 identified systems while other identified frameworks (MobileCoach, Garmin Connect IQ SDK, RADAR) could (at best) only model parts of them. The presented design paradigm/model is applicable for a wide range of mobile feedback systems and equips researchers and practitioners with a valuable tool.
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Bernaldo de Quirós M, Douma E, van den Akker-Scheek I, Lamoth CJC, Maurits NM. Quantification of Movement in Stroke Patients under Free Living Conditions Using Wearable Sensors: A Systematic Review. SENSORS (BASEL, SWITZERLAND) 2022; 22:1050. [PMID: 35161796 PMCID: PMC8840016 DOI: 10.3390/s22031050] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/19/2022] [Accepted: 01/25/2022] [Indexed: 05/06/2023]
Abstract
Stroke is a main cause of long-term disability worldwide, placing a large burden on individuals and health care systems. Wearable technology can potentially objectively assess and monitor patients outside clinical environments, enabling a more detailed evaluation of their impairment and allowing individualization of rehabilitation therapies. The aim of this review is to provide an overview of setups used in literature to measure movement of stroke patients under free living conditions using wearable sensors, and to evaluate the relation between such sensor-based outcomes and the level of functioning as assessed by existing clinical evaluation methods. After a systematic search we included 32 articles, totaling 1076 stroke patients from acute to chronic phases and 236 healthy controls. We summarized the results by type and location of sensors, and by sensor-based outcome measures and their relation with existing clinical evaluation tools. We conclude that sensor-based measures of movement provide additional information in relation to clinical evaluation tools assessing motor functioning and both are needed to gain better insight in patient behavior and recovery. However, there is a strong need for standardization and consensus, regarding clinical assessments, but also regarding the use of specific algorithms and metrics for unsupervised measurements during daily life.
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Affiliation(s)
- Mariano Bernaldo de Quirós
- Department of Neurology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands;
| | - E.H. Douma
- Department of Human Movement Sciences, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (E.H.D.); (C.J.C.L.)
| | - Inge van den Akker-Scheek
- Department of Orthopedics, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands;
| | - Claudine J. C. Lamoth
- Department of Human Movement Sciences, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (E.H.D.); (C.J.C.L.)
| | - Natasha M. Maurits
- Department of Neurology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands;
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