A Dual-Fatigue Speed Guidance Model for Isokinetic Training: Cognitive and sEMG-Based Physiological Fatigue Approach
Isokinetic training has been proven to be an effective method in rehabilitative therapy. However, the quantitative relationship between training speed and the biophysical condition of the human body is not well established. To address this, a biceps isokinetic training robot implemented the dual-fat...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
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| Online Access: | https://ieeexplore.ieee.org/document/11029246/ |
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| author | Zhao Liu Jiexin Zhang Hao Zhou Ruikai Cao Yixuan Sheng Zhen Song Bo Zhang Min Zhang Honghai Liu |
| author_facet | Zhao Liu Jiexin Zhang Hao Zhou Ruikai Cao Yixuan Sheng Zhen Song Bo Zhang Min Zhang Honghai Liu |
| author_sort | Zhao Liu |
| collection | DOAJ |
| description | Isokinetic training has been proven to be an effective method in rehabilitative therapy. However, the quantitative relationship between training speed and the biophysical condition of the human body is not well established. To address this, a biceps isokinetic training robot implemented the dual-fatigue speed guidance model that integrated cognitive fatigue perception and physiological fatigue index based on sEMG was proposed. The sEMG signals were transformed from time series to a Markov state transition field (MTF) expressed as a state transition network diagram, from which modularity (MD) was extracted as a physiological fatigue index. MD combined with cognitive perceptions by the Borg RPE scale, formed a dual-fatigue speed guidance model for isokinetic training. After one month of training with nine male participants, the proposed model demonstrated improvements in peak torque, muscle dimensions, and cognitive fatigue compared to constant speed training, with a significant absolute peak torque increase (P = 0.0427). The proposed method enables personalized configuration of sports rehabilitation and enhancement, and it can be expected to apply in clinical precision therapy with more participants. |
| format | Article |
| id | doaj-art-cb56b29ef9f34944b957734a1401a289 |
| institution | DOAJ |
| issn | 1534-4320 1558-0210 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| spelling | doaj-art-cb56b29ef9f34944b957734a1401a2892025-08-20T02:40:27ZengIEEEIEEE Transactions on Neural Systems and Rehabilitation Engineering1534-43201558-02102025-01-01332311232110.1109/TNSRE.2025.357830411029246A Dual-Fatigue Speed Guidance Model for Isokinetic Training: Cognitive and sEMG-Based Physiological Fatigue ApproachZhao Liu0https://orcid.org/0000-0001-9001-4606Jiexin Zhang1https://orcid.org/0000-0001-5056-7097Hao Zhou2Ruikai Cao3https://orcid.org/0009-0008-8406-3370Yixuan Sheng4https://orcid.org/0000-0003-1022-7690Zhen Song5Bo Zhang6https://orcid.org/0000-0002-4291-4543Min Zhang7https://orcid.org/0000-0002-3895-5510Honghai Liu8https://orcid.org/0000-0002-2880-4698State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Shenzhen, ChinaState Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaSchool of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, ChinaSchool of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, ChinaState Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Shenzhen, ChinaPengcheng Laboratory, Shenzhen, ChinaState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, ChinaInstitute of Computing and Intelligence, Harbin Institute of Technology, Shenzhen, ChinaPengcheng Laboratory, Shenzhen, ChinaIsokinetic training has been proven to be an effective method in rehabilitative therapy. However, the quantitative relationship between training speed and the biophysical condition of the human body is not well established. To address this, a biceps isokinetic training robot implemented the dual-fatigue speed guidance model that integrated cognitive fatigue perception and physiological fatigue index based on sEMG was proposed. The sEMG signals were transformed from time series to a Markov state transition field (MTF) expressed as a state transition network diagram, from which modularity (MD) was extracted as a physiological fatigue index. MD combined with cognitive perceptions by the Borg RPE scale, formed a dual-fatigue speed guidance model for isokinetic training. After one month of training with nine male participants, the proposed model demonstrated improvements in peak torque, muscle dimensions, and cognitive fatigue compared to constant speed training, with a significant absolute peak torque increase (P = 0.0427). The proposed method enables personalized configuration of sports rehabilitation and enhancement, and it can be expected to apply in clinical precision therapy with more participants.https://ieeexplore.ieee.org/document/11029246/Rehabilitation robotsisokinetic trainingsurface electromyographyfatigue index |
| spellingShingle | Zhao Liu Jiexin Zhang Hao Zhou Ruikai Cao Yixuan Sheng Zhen Song Bo Zhang Min Zhang Honghai Liu A Dual-Fatigue Speed Guidance Model for Isokinetic Training: Cognitive and sEMG-Based Physiological Fatigue Approach IEEE Transactions on Neural Systems and Rehabilitation Engineering Rehabilitation robots isokinetic training surface electromyography fatigue index |
| title | A Dual-Fatigue Speed Guidance Model for Isokinetic Training: Cognitive and sEMG-Based Physiological Fatigue Approach |
| title_full | A Dual-Fatigue Speed Guidance Model for Isokinetic Training: Cognitive and sEMG-Based Physiological Fatigue Approach |
| title_fullStr | A Dual-Fatigue Speed Guidance Model for Isokinetic Training: Cognitive and sEMG-Based Physiological Fatigue Approach |
| title_full_unstemmed | A Dual-Fatigue Speed Guidance Model for Isokinetic Training: Cognitive and sEMG-Based Physiological Fatigue Approach |
| title_short | A Dual-Fatigue Speed Guidance Model for Isokinetic Training: Cognitive and sEMG-Based Physiological Fatigue Approach |
| title_sort | dual fatigue speed guidance model for isokinetic training cognitive and semg based physiological fatigue approach |
| topic | Rehabilitation robots isokinetic training surface electromyography fatigue index |
| url | https://ieeexplore.ieee.org/document/11029246/ |
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