Use of sEMG in identification of low level muscle activities: Features based on ICA and Fractal dimension

Ganesh R. Naik, Dinesh K. Kumar, Sridhar Arjunan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

This paper has experimentally verified and compared features of sEMG (Surface Electromyogram) such as ICA (Independent Component Analysis) and Fractal Dimension (FD) for identification of low level forearm muscle activities. The fractal dimension was used as a feature as reported in the literature. The normalized feature values were used as training and testing vectors for an Artificial neural network (ANN), in order to reduce inter-experimental variations. The identification accuracy using FD of four channels sEMG was 58%, and increased to 96% when the signals are separated to their independent components using ICA.

Original languageEnglish
Title of host publication2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Place of PublicationMinneapolis, MN
PublisherIEEE
Pages364-367
Number of pages4
ISBN (Print)9781424432967
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States
Duration: 2 Sep 20096 Sep 2009

Publication series

NameProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Conference

Conference31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
CountryUnited States
CityMinneapolis, MN
Period2/09/096/09/09

Fingerprint Dive into the research topics of 'Use of sEMG in identification of low level muscle activities: Features based on ICA and Fractal dimension'. Together they form a unique fingerprint.

Cite this