Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6891183 | Computer Methods and Programs in Biomedicine | 2018 | 12 Pages |
Abstract
The proposed methods are found to be capable of handling the nonstationary and multicomponent variations of sEMG signals recorded in dynamic fatiguing contractions. Particularly, the combination of EMBD- polynomial kernel based SVM could be used to detect the dynamic muscle fatigue conditions.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
P.A. Karthick, Diptasree Maitra Ghosh, S. Ramakrishnan,