Title :
On EMG Signal Compression With Recurrent Patterns
Author :
Filho, Eddie B L ; Silva, Eduardo A B da ; De Carvalho, Murilo B.
Author_Institution :
Centro de Cienc. Tecnol. e Inovacao do Polo Ind. de Manaus, Manaus
fDate :
7/1/2008 12:00:00 AM
Abstract :
In this paper, the multidimensional multiscale parser (MMP) is employed for encoding electromyographic signals. The experiments were carried out with real signals acquired in laboratory and show that the proposed scheme is effective, outperforming even wavelet-based state-of- the-art schemes present in the literature in terms of percent root mean square difference times compression ratio.
Keywords :
data compression; electromyography; medical signal processing; EMG signal compression; compression ratio; electromyography; isometric contractions; multidimensional multiscale parser; recurrent patterns; root mean square difference; Data compression; Dictionaries; Electrodes; Electromyography; Encoding; Laboratories; Multidimensional systems; Muscles; Needles; Root mean square; Electromyogram (EMG); data compression; isometric contractions; Action Potentials; Algorithms; Data Compression; Electromyography; Humans; Isometric Contraction; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2008.919729
