Name
Title | ||
|---|---|---|
A subject-independent method for automatically grading electromyographic features during a fatiguing contraction. |
Abstract | ||
|---|---|---|
Many studies have attempted to monitor fatigue from electromyogram (EMG) signals. However, fatigue affects EMG in a subject-specific manner. We present here a subject-independent framework for monitoring the changes in EMG features that accompany muscle fatigue based on principal component analysis and factor analysis. The proposed framework is based on several time- and frequency-domain features,... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TBME.2012.2193881 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Electromyography,Muscles,Feature extraction,Fatigue,Force,Indexes,Loading | Computer science,Electromyography,Feature extraction,Speech recognition,Muscle fatigue,Isometric exercise,Principal component analysis | Journal |
Volume | Issue | ISSN |
59 | 6 | 0018-9294 |
Citations | PageRank | References |
1 | 0.35 | 3 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rita Chattopadhyay | 1 | 117 | 6.55 |
| Mark Jesunathadas | 2 | 1 | 0.35 |
| Brach Poston | 3 | 1 | 0.35 |
| Marco Santello | 4 | 62 | 9.60 |
| Jieping Ye | 5 | 6943 | 351.37 |
| Sethuraman Panchanathan | 6 | 1431 | 152.04 |