[1]JIANG Feng,YIN Xunfeng,YI Chunzhi,et al.A review of the research and application of calculating joint torque by electromyography signals[J].CAAI Transactions on Intelligent Systems,2020,15(2):193-203.[doi:10.11992/tis.202001013]
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A review of the research and application of calculating joint torque by electromyography signals

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 15 Number of periods: 2020 2 Page number: 193-203 Column: 综述 Public date: 2020-03-05
Title:
A review of the research and application of calculating joint torque by electromyography signals
Author(s):
JIANG Feng1;  YIN Xunfeng2;  YI Chunzhi2;  YANG Chifu2
1. College of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China;
2. School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China
Keywords:
surface electromyography; neural activation; signal processing; muscle activation; musculoskeletal model; joint moment; joint dynamics; parameter identification
CLC:
TP391.4
DOI:
10.11992/tis.202001013
Abstract:
Surface electromyography is a neuronal signal of the human body that is easily detected. It extensively provides information about human motion. For a deeper understanding of human body dynamics, the use of electromyographic signals and biological models to examine the relationship between myoelectric signals and muscle forces or corresponding joint torques, is of great importance. This paper summarizes:the research results of solving human joint torque using electromyography signals; introduces the process of measuring and optimizing the neuromusculoskeletal model;gives some model physiological parameters to provide reference for future research; and provides application of the method in solving human joint torque in the current stage. Some of the problems encountered in the solution process are then evaluated, and the development prospect of the method is summarized, providing a reference for future research.
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