DocumentCode
3056037
Title
Modified Lifting Scheme Characterization for the Compression of EMG Signals
Author
Ele, Pierre ; Ntsama, Pascal Eloundou ; Tonye, Emmanuel
Author_Institution
ENSP of UYde, Yaounde, Cameroon
fYear
2009
fDate
Nov. 29 2009-Dec. 4 2009
Firstpage
73
Lastpage
80
Abstract
This article discusses issues on data compression of electromyographic (EMG) signals. A new coding scheme was proposed in our previous work, and a summary of the first experimentations had been given. The new aspect presented in this paper is a deepening of this method followed by a N-order general decomposition scheme. From this generalization, a more complete characterization of the method is made. Tests for order N equal to 1, 2 and 3 carried out showed some improvements compared to. The technique helps to show that the decomposition of Modified Lifting Scheme (MLS) to the order N can solve the recurring problem of storage and/or duration of transmission with more efficiency as compared to wavelet packet transform and lifting scheme. Each of the methods is shortly presented, along with results obtained from actual signals. Signal to noise ratio, compression ratio, distortion of the mean frequency, entropy and computation load allow objective comparisons.
Keywords
data compression; electromyography; medical signal processing; wavelet transforms; EMG signal compression; N-order general decomposition scheme; data compression; entropy; mean frequency distortion; modified lifting scheme characterization; signal-noise ratio; wavelet packet transform; Electromyography; Image coding; Indexes; Signal to noise ratio; Wavelet packets; EMG; Modified Lifting Scheme; compression; wavelet packet;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal-Image Technology & Internet-Based Systems (SITIS), 2009 Fifth International Conference on
Conference_Location
Marrakesh
Print_ISBN
978-1-4244-5740-3
Electronic_ISBN
978-0-7695-3959-1
Type
conf
DOI
10.1109/SITIS.2009.22
Filename
5633995
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