A patient-specific EMG-driven neuromuscular model for the potential use of human-inspired gait rehabilitation robots

Computers in Biology and Medicine
Ye MaYanxin Zhang

Abstract

A patient-specific electromyography (EMG)-driven neuromuscular model (PENm) is developed for the potential use of human-inspired gait rehabilitation robots. The PENm is modified based on the current EMG-driven models by decreasing the calculation time and ensuring good prediction accuracy. To ensure the calculation efficiency, the PENm is simplified into two EMG channels around one joint with minimal physiological parameters. In addition, a dynamic computation model is developed to achieve real-time calculation. To ensure the calculation accuracy, patient-specific muscle kinematics information, such as the musculotendon lengths and the muscle moment arms during the entire gait cycle, are employed based on the patient-specific musculoskeletal model. Moreover, an improved force-length-velocity relationship is implemented to generate accurate muscle forces. Gait analysis data including kinematics, ground reaction forces, and raw EMG signals from six adolescents at three different speeds were used to evaluate the PENm. The simulation results show that the PENm has the potential to predict accurate joint moment in real-time. The design of advanced human-robot interaction control strategies and human-inspired gait rehabilitation robo...Continue Reading

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Citations

Jul 17, 2020·Chemical Society Reviews·Yin FangBozhi Tian
May 16, 2018·Technology and Health Care : Official Journal of the European Society for Engineering and Medicine·Seyed Mohammadali RahmatiBorhan Beigzadeh
Aug 3, 2019·Australasian Physical & Engineering Sciences in Medicine·Bo ShengYanxin Zhang
Jul 30, 2020·Biomedical Engineering Online·Francesco Di NardoSandro Fioretti
May 18, 2021·Applied Bionics and Biomechanics·Lu ZongxingJia Chao
Jan 30, 2020··Luís Felipe García AriasMaría Jaramillo González

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