Fractal properties of surface electromyogram for classification of low-level hand movements from single channel forearm muscle activity

Poosapadi Arjunan, S and Kumar, D 2011, 'Fractal properties of surface electromyogram for classification of low-level hand movements from single channel forearm muscle activity', Journal of Mechanics in Medicine and Biology (JMMB), vol. 11, no. 3, pp. 581-590.


Document type: Journal Article
Collection: Journal Articles

Title Fractal properties of surface electromyogram for classification of low-level hand movements from single channel forearm muscle activity
Author(s) Poosapadi Arjunan, S
Kumar, D
Year 2011
Journal name Journal of Mechanics in Medicine and Biology (JMMB)
Volume number 11
Issue number 3
Start page 581
End page 590
Total pages 10
Publisher World Scientific Publishing
Abstract Surface electromyogram (sEMG) has been used in identification of various hand movements which can lead to a number of rehabilitation, medical and human computer interface applications. These applications are currently in need of higher accuracy and become challenging because of its unreliability in classification of surface Electromyogram (sEMG) when the level of muscle contraction is low and when there are multiple active muscles. The presence of noise and cross-talk from closely located and simultaneously active muscles is exaggerated when muscles are weakly active such as during sustained wrist and finger flexion. This study reports the use of fractal properties of sEMG to identify the small changes in strength of muscle contraction and the location of the active muscles. It is observed that the fractal dimension (FD) of the signal is related to the complexity of the muscle contraction while maximum fractal length (MFL) is related to the strength of contraction of the associated muscle. The results show that the MFL and FD of a single channel sEMG from the forearm can be used to accurately identify a set of finger and wrist flexion based actions even when the muscle activity is very weak. It is proposed that such a system could be used to control a prosthetic hand or for a human computer interface.
Subject Signal Processing
Biomedical Engineering not elsewhere classified
Keyword(s) Prosthetic control
Fractal dimension
sEMG
rehabilitation
DOI - identifier 10.1142/S0219519411003867
Copyright notice © World Scientific Publishing Company
ISSN 0219-5194
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 5 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 10 times in Scopus Article | Citations
Altmetric details:
Access Statistics: 222 Abstract Views  -  Detailed Statistics
Created: Fri, 30 Sep 2011, 08:52:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us