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
Link To Document :
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