Lower Limb Motion Classification Using Energy Density Features of Surface Electromyography Signals' Activation Region and Dynamic Ensemble Model

• Published in: IEEE transactions on instrumentation and measurement Vol. 72; pp. 1 - 16
• Main Authors: Qin, Pengjie, Shi, Xin, Han, Kesong, Fan, Zhirui
• Format: Journal Article
• Language: English
• Published: New York IEEE 2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Algorithms; Classification; Classification algorithms; Correlation dimension (CD); Electromyography; Energy distribution; ensemble model; Feature extraction; Heuristic algorithms; motion classification; Muscles; onset point detection; Random sampling; Rehabilitation; Response time; Sensors; surface electromyography (sEMG); Windows

Accurate classification of lower limb movements based on surface electromyography (sEMG) signals is vital for wearable auxiliary devices in military and medical rehabilitation. It is difficult to accurately obtain the effective features of the active region and establish a reliable classification mo...