Xinhao's notebook

01-12

Surface EMG Decomposition Based on K-means Clustering and Convolution Kernel Compensation

01-10

A peel-off convolution kernel compensation method for surface electromyography decomposition

12-29

Non-invasive characterization of motor unit behaviour in pathological tremor

12-12

Comparison of Convolutive Kernel Compensation and Non-Negative Matrix Factorization of Surface Electromyograms

12-10

Blind source identification from the multichannel surface electromyogram

12-07

FastICA算法推导

11-29

Automatic Implementation of Progressive FastICA Peel-Off for High Density Surface EMG Decomposition

11-21

High-yield decomposition of surface EMG signals

02-28

A Novel Muscle Innervation Zone Estimation Method Using Monopolar High Density Surface Electromyography

01-19

Gradient Convolution Kernel Compensation Applied to Surface Electromyograms