Paper Info
Title
A Study on Estimation of Joint Force Through Isometric Index Finger Abduction With the Help of SEMG Peaks for Biomedical Applications.
Abstract
We propose a new method to estimate joint force using a biomechanical muscle model and peaks of surface electromyography (SEMG). The SEMG measurement was carried out from the first dorsal interosseous muscle during isometric index finger abduction. The SEMG peaks were used as the input of the biomechanical muscle model which is a transfer function to generate the force. The force estimation performance (R²) was evaluated using the proposed method with nine healthy subjects, and a former method using a mean absolute value (MAV), which is the full-wave rectified and averaged (or low-pass filtered) signal of SEMG in a time window, was compared with the proposed method; the performance of the proposed method (0.94 ± 0.03) was better than that of MAV (0.90 ± 0.02). The proposed method could be widely applied to quantitative analysis of muscle activities based on SEMG.
Year
DOI
Venue
2016
10.1109/TCYB.2014.2386856
IEEE transactions on cybernetics
Keywords
Field
DocType
biomechanical muscle model,joint force estimation,peak detection,surface electromyography (semg),estimation,indexes,force
Index finger,Dorsum,Pattern recognition,Electromyography,Speech recognition,Transfer function,Artificial intelligence,Mean absolute value,Isometric exercise,Mathematics,Machine learning
Journal
Volume
Issue
ISSN
PP
99
2168-2275
Citations 
PageRank 
References 
3
0.42
14
Authors
4
Name
Order
Citations
PageRank
Youngjin Na153.54
Changmok Choi2314.97
Hae-Dong Lee3152.40
Jung Kim435244.20