Application of Muscle Synergies for Gait Rehabilitation After Stroke: Implications for Future Research
Background/Objective: Muscle synergy analysis based on machine learning has significantly advanced our understanding of the mechanisms underlying the central nervous system motor control of gait and has identified abnormal gait synergies in stroke patients through various analytical approaches. Howe...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Neurology International |
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| Online Access: | https://www.mdpi.com/2035-8377/16/6/108 |
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| author | Jaehyuk Lee Kimyung Kim Youngchae Cho Hyeongdong Kim |
| author_facet | Jaehyuk Lee Kimyung Kim Youngchae Cho Hyeongdong Kim |
| author_sort | Jaehyuk Lee |
| collection | DOAJ |
| description | Background/Objective: Muscle synergy analysis based on machine learning has significantly advanced our understanding of the mechanisms underlying the central nervous system motor control of gait and has identified abnormal gait synergies in stroke patients through various analytical approaches. However, discrepancies in experimental conditions and computational methods have limited the clinical application of these findings. This review seeks to integrate the results of existing studies on the features of muscle synergies in stroke-related gait abnormalities and provide clinical and research insights into gait rehabilitation. Methods: A systematic search of Web of Science, PubMed, and Scopus was conducted, yielding 10 full-text articles for inclusion. Results: By comprehensively reviewing the consistencies and differences in the study outcomes, we emphasize the need to segment the gait cycle into specific phases (e.g., weight acceptance, push-off, foot clearance, and leg deceleration) during the treatment process of gait rehabilitation and to develop rehabilitation protocols aimed at restoring normal synergy patterns in each gait phase and fractionating reduced synergies. Conclusions: Future research should focus on validating these protocols to improve clinical outcomes and introducing indicators to assess abnormalities in the temporal features of muscle synergies. |
| format | Article |
| id | doaj-art-d78552ca094e43858333fb87975abdf3 |
| institution | DOAJ |
| issn | 2035-8377 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Neurology International |
| spelling | doaj-art-d78552ca094e43858333fb87975abdf32025-08-20T02:56:59ZengMDPI AGNeurology International2035-83772024-11-011661451146310.3390/neurolint16060108Application of Muscle Synergies for Gait Rehabilitation After Stroke: Implications for Future ResearchJaehyuk Lee0Kimyung Kim1Youngchae Cho2Hyeongdong Kim3Smart Technology Laboratory, Kongju National University, Cheonan-si 31080, Republic of KoreaDepartment of Physical Therapy, School of Health and Environmental Science, College of Health Science, Korea University, Seoul 02841, Republic of KoreaDepartment of Physical Therapy, School of Health and Environmental Science, College of Health Science, Korea University, Seoul 02841, Republic of KoreaDepartment of Physical Therapy, School of Health and Environmental Science, College of Health Science, Korea University, Seoul 02841, Republic of KoreaBackground/Objective: Muscle synergy analysis based on machine learning has significantly advanced our understanding of the mechanisms underlying the central nervous system motor control of gait and has identified abnormal gait synergies in stroke patients through various analytical approaches. However, discrepancies in experimental conditions and computational methods have limited the clinical application of these findings. This review seeks to integrate the results of existing studies on the features of muscle synergies in stroke-related gait abnormalities and provide clinical and research insights into gait rehabilitation. Methods: A systematic search of Web of Science, PubMed, and Scopus was conducted, yielding 10 full-text articles for inclusion. Results: By comprehensively reviewing the consistencies and differences in the study outcomes, we emphasize the need to segment the gait cycle into specific phases (e.g., weight acceptance, push-off, foot clearance, and leg deceleration) during the treatment process of gait rehabilitation and to develop rehabilitation protocols aimed at restoring normal synergy patterns in each gait phase and fractionating reduced synergies. Conclusions: Future research should focus on validating these protocols to improve clinical outcomes and introducing indicators to assess abnormalities in the temporal features of muscle synergies.https://www.mdpi.com/2035-8377/16/6/108gaitmuscle synergymotor modulerehabilitationstroke |
| spellingShingle | Jaehyuk Lee Kimyung Kim Youngchae Cho Hyeongdong Kim Application of Muscle Synergies for Gait Rehabilitation After Stroke: Implications for Future Research Neurology International gait muscle synergy motor module rehabilitation stroke |
| title | Application of Muscle Synergies for Gait Rehabilitation After Stroke: Implications for Future Research |
| title_full | Application of Muscle Synergies for Gait Rehabilitation After Stroke: Implications for Future Research |
| title_fullStr | Application of Muscle Synergies for Gait Rehabilitation After Stroke: Implications for Future Research |
| title_full_unstemmed | Application of Muscle Synergies for Gait Rehabilitation After Stroke: Implications for Future Research |
| title_short | Application of Muscle Synergies for Gait Rehabilitation After Stroke: Implications for Future Research |
| title_sort | application of muscle synergies for gait rehabilitation after stroke implications for future research |
| topic | gait muscle synergy motor module rehabilitation stroke |
| url | https://www.mdpi.com/2035-8377/16/6/108 |
| work_keys_str_mv | AT jaehyuklee applicationofmusclesynergiesforgaitrehabilitationafterstrokeimplicationsforfutureresearch AT kimyungkim applicationofmusclesynergiesforgaitrehabilitationafterstrokeimplicationsforfutureresearch AT youngchaecho applicationofmusclesynergiesforgaitrehabilitationafterstrokeimplicationsforfutureresearch AT hyeongdongkim applicationofmusclesynergiesforgaitrehabilitationafterstrokeimplicationsforfutureresearch |