Impact of Load Variation on Joint Angle Estimation From Surface EMG Signals

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 24; no. 12; pp. 1342 - 1350
• Main Authors: Tang, Zhichuan, Yu, Hongnian, Cang, Shuang
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.12.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adult; Algorithms; Angles (geometry); Angular velocity; Computer Simulation; Elbow; Elbow (anatomy); Elbow Joint - physiology; Electromyography; Electromyography - methods; Estimation; Exoskeletons; Feasibility Studies; Humans; Joints; Load; Male; Methods; Models, Biological; Multisensor fusion; Muscle Contraction - physiology; Muscles; Prosthetics; Range of Motion, Articular - physiology; Reproducibility of Results; Sensitivity and Specificity; Sensor fusion; Sensors; Stress, Mechanical; surface electromyogram (sEMG); Weight-Bearing - physiology

Many studies use surface electromyogram (sEMG) signals to estimate the joint angle, for control of upper-limb exoskeletons and prostheses. However, several practical factors still affect its clinical applicability. One of these factors is the load variation during daily use. This paper demonstrates...