DocumentCode
2491202
Title
Compression of surface myoelectric signals using MP3 encoding
Author
Chan, Adrian D C
Author_Institution
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
5012
Lastpage
5015
Abstract
The potential of MP3 compression of surface myoelectric signals is explored in this paper. MP3 compression is a perceptual-based encoder scheme, used traditionally to compress audio signals. The ubiquity of MP3 compression (e.g., portable consumer electronics and internet applications) makes it an attractive option for remote monitoring and telemedicine applications. The effects of muscle site and contraction type are examined at different MP3 encoding bitrates. Results demonstrate that MP3 compression is sensitive to the myoelectric signal bandwidth, with larger signal distortion associated with myoelectric signals that have higher bandwidths. Compared to other myoelectric signal compression techniques reported previously (embedded zero-tree wavelet compression and adaptive differential pulse code modulation), MP3 compression demonstrates superior performance (i.e., lower percent residual differences for the same compression ratios).
Keywords
data compression; electromyography; encoding; medical signal processing; telemedicine; MP3 encoding bitrates; myoelectric signal bandwidth; perceptual based encoder scheme; remote monitoring applications; signal distortion; surface myoelectric signal compression; telemedicine applications; Bandwidth; Digital audio players; Electromyography; Encoding; Muscles; Psychoacoustic models; Transform coding; MP3; MPEG; data compression; electromyography; myoelectric signals; remote monitoring; telemedicine; Algorithms; Data Compression; Electromyography; Humans; Muscle Contraction; Muscle, Skeletal; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location
Boston, MA
ISSN
1557-170X
Print_ISBN
978-1-4244-4121-1
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2011.6091242
Filename
6091242
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