Estimating gait parameters from sEMG signals using machine learning techniques under different power capacity of muscle - Liu, Shing-Hong; Sharma, Alok Kumar; Wu, Bo-Yan; Zhu, Xin; Chang, Chun-Ju; Wang, Jia-Jung (Scientific reports, 2025)
Keywords: 639/166/985; 692/700/139; Adult; CatBoost; Correlation coefficient; Electromyography; Electromyography - methods; Fatigue; Female; Gait; Gait - physiology; Gait Analysis - methods; Gait parameters; Humanities and Social Sciences; Humans; Learning algorithms; Machine Learning; Male; multidisciplinary; Muscle fatigue; Muscle Fatigue - physiology; Muscle, Skeletal - physiology; Muscles; Neuromuscular diseases; Random forest; Science; Science (multidisciplinary); Sensors; Surface electromyogram; XGBoost; Young Adult; Surface electromyogram; Random forest; Gait parameters; XGBoost; CatBoost; Machine learning