A Pilot Study of Individual Muscle Force Prediction during Elbow Flexion and Extension in the Neurorehabilitation Field
This paper proposes a neuromusculoskeletal (NMS) model to predict individual muscle force during elbow flexion and extension. Four male subjects were asked to do voluntary elbow flexion and extension. An inertial sensor and surface electromyography (sEMG) sensors were attached to subject's fore...
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doaj-24a8ee5a8d154e819911f9ac5e7f740b2020-11-25T00:01:32ZengMDPI AGSensors1424-82202016-11-011612201810.3390/s16122018s16122018A Pilot Study of Individual Muscle Force Prediction during Elbow Flexion and Extension in the Neurorehabilitation FieldJiateng Hou0Yingfei Sun1Lixin Sun2Bingyu Pan3Zhipei Huang4Jiankang Wu5Zhiqiang Zhang6Sensor Networks and Applications Research Center (SNARC), University of Chinese Academy of Sciences (UCAS), Beijing 101408, ChinaSensor Networks and Applications Research Center (SNARC), University of Chinese Academy of Sciences (UCAS), Beijing 101408, ChinaSensor Networks and Applications Research Center (SNARC), University of Chinese Academy of Sciences (UCAS), Beijing 101408, ChinaSensor Networks and Applications Research Center (SNARC), University of Chinese Academy of Sciences (UCAS), Beijing 101408, ChinaSensor Networks and Applications Research Center (SNARC), University of Chinese Academy of Sciences (UCAS), Beijing 101408, ChinaSensor Networks and Applications Research Center (SNARC), University of Chinese Academy of Sciences (UCAS), Beijing 101408, ChinaSchool of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, West Yorkshire, UKThis paper proposes a neuromusculoskeletal (NMS) model to predict individual muscle force during elbow flexion and extension. Four male subjects were asked to do voluntary elbow flexion and extension. An inertial sensor and surface electromyography (sEMG) sensors were attached to subject's forearm. Joint angle calculated by fusion of acceleration and angular rate using an extended Kalman filter (EKF) and muscle activations obtained from the sEMG signals were taken as the inputs of the proposed NMS model to determine individual muscle force. The result shows that our NMS model can predict individual muscle force accurately, with the ability to reflect subject-specific joint dynamics and neural control solutions. Our method incorporates sEMG and motion data, making it possible to get a deeper understanding of neurological, physiological, and anatomical characteristics of human dynamic movement. We demonstrate the potential of the proposed NMS model for evaluating the function of upper limb movements in the field of neurorehabilitation.http://www.mdpi.com/1424-8220/16/12/2018elbowmuscle forceneuromusculoskeletal (NMS) modelneurorehabilitationsurface electromyography (sEMG) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jiateng Hou Yingfei Sun Lixin Sun Bingyu Pan Zhipei Huang Jiankang Wu Zhiqiang Zhang |
spellingShingle |
Jiateng Hou Yingfei Sun Lixin Sun Bingyu Pan Zhipei Huang Jiankang Wu Zhiqiang Zhang A Pilot Study of Individual Muscle Force Prediction during Elbow Flexion and Extension in the Neurorehabilitation Field Sensors elbow muscle force neuromusculoskeletal (NMS) model neurorehabilitation surface electromyography (sEMG) |
author_facet |
Jiateng Hou Yingfei Sun Lixin Sun Bingyu Pan Zhipei Huang Jiankang Wu Zhiqiang Zhang |
author_sort |
Jiateng Hou |
title |
A Pilot Study of Individual Muscle Force Prediction during Elbow Flexion and Extension in the Neurorehabilitation Field |
title_short |
A Pilot Study of Individual Muscle Force Prediction during Elbow Flexion and Extension in the Neurorehabilitation Field |
title_full |
A Pilot Study of Individual Muscle Force Prediction during Elbow Flexion and Extension in the Neurorehabilitation Field |
title_fullStr |
A Pilot Study of Individual Muscle Force Prediction during Elbow Flexion and Extension in the Neurorehabilitation Field |
title_full_unstemmed |
A Pilot Study of Individual Muscle Force Prediction during Elbow Flexion and Extension in the Neurorehabilitation Field |
title_sort |
pilot study of individual muscle force prediction during elbow flexion and extension in the neurorehabilitation field |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2016-11-01 |
description |
This paper proposes a neuromusculoskeletal (NMS) model to predict individual muscle force during elbow flexion and extension. Four male subjects were asked to do voluntary elbow flexion and extension. An inertial sensor and surface electromyography (sEMG) sensors were attached to subject's forearm. Joint angle calculated by fusion of acceleration and angular rate using an extended Kalman filter (EKF) and muscle activations obtained from the sEMG signals were taken as the inputs of the proposed NMS model to determine individual muscle force. The result shows that our NMS model can predict individual muscle force accurately, with the ability to reflect subject-specific joint dynamics and neural control solutions. Our method incorporates sEMG and motion data, making it possible to get a deeper understanding of neurological, physiological, and anatomical characteristics of human dynamic movement. We demonstrate the potential of the proposed NMS model for evaluating the function of upper limb movements in the field of neurorehabilitation. |
topic |
elbow muscle force neuromusculoskeletal (NMS) model neurorehabilitation surface electromyography (sEMG) |
url |
http://www.mdpi.com/1424-8220/16/12/2018 |
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