title: A Pilot Study of Individual Muscle Force Prediction during Elbow Flexion and Extension in the Neurorehabilitation Field.
abstract: 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.
authors.affiliation: Sensor Networks and Applications Research Center (SNARC), University of Chinese Academy of Sciences (UCAS), Beijing 101408, China. houjiateng13@mails.ucas.ac.cn.
authors.forename: Jiateng
authors.initials: J
authors.lastname: Hou
authors.affiliation: Sensor Networks and Applications Research Center (SNARC), University of Chinese Academy of Sciences (UCAS), Beijing 101408, China. yfsun@ucas.ac.cn.
authors.forename: Yingfei
authors.initials: Y
authors.lastname: Sun
authors.affiliation: Sensor Networks and Applications Research Center (SNARC), University of Chinese Academy of Sciences (UCAS), Beijing 101408, China. sunlixin12@mails.ucas.ac.cn.
authors.forename: Lixin
authors.initials: L
authors.lastname: Sun
authors.affiliation: Sensor Networks and Applications Research Center (SNARC), University of Chinese Academy of Sciences (UCAS), Beijing 101408, China. panbingyu14@mails.ucas.ac.cn.
authors.forename: Bingyu
authors.initials: B
authors.lastname: Pan
authors.affiliation: Sensor Networks and Applications Research Center (SNARC), University of Chinese Academy of Sciences (UCAS), Beijing 101408, China. zhphuang@ucas.ac.cn.
authors.forename: Zhipei
authors.initials: Z
authors.lastname: Huang
authors.affiliation: Sensor Networks and Applications Research Center (SNARC), University of Chinese Academy of Sciences (UCAS), Beijing 101408, China. jkwu@ucas.ac.cn.
authors.forename: Jiankang
authors.initials: J
authors.lastname: Wu
authors.affiliation: School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, West Yorkshire, UK. Z.Zhang3@leeds.ac.uk.
authors.forename: Zhiqiang
authors.initials: Z
authors.lastname: Zhang
mesh_terms: D004551:Elbow Joint / Q000502:physiology*; D004576:Electromyography; D006801:Humans; D007537:Isometric Contraction / Q000502:physiology; D008297:Male; D018482:Muscle, Skeletal / Q000503:physiopathology*; D000066530:Neurological Rehabilitation / Q000379:methods*; D016059:Range of Motion, Articular / Q000502:physiology
keywords: elbow; muscle force; neuromusculoskeletal (NMS) model; neurorehabilitation; surface electromyography (sEMG)