Automatic selection of IMFs to denoise the sEMG signals using EMD

• Published in: Journal of electromyography and kinesiology Vol. 73; p. 102834
• Main Authors: Koppolu, Pratap Kumar, Chemmangat, Krishnan
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.12.2023
• Subjects: Algorithms; Denoising; Electromyography; Electromyography - methods; EMD; Humans; Muscle, Skeletal; Permutation entropy; Physical Medicine and Rehabilitation; Signal Processing, Computer-Assisted; Signal-To-Noise Ratio; Electromyography; Permutation entropy; EMD; Denoising; Permutation Entropy

Surface Electromyography (sEMG) signals are muscle activation signals, which has applications in muscle diagnosis, rehabilitation, prosthetics, and speech etc. However, they are known to be affected by noises such as Power Line Interference (PLI), motion artifacts etc. Currently, Empirical Mode Deco...