Literature DB >> 18595812

On EMG signal compression with recurrent patterns.

Eddie B L Filho1, Eduardo A B da Silva, Murilo B de Carvalho.   

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 x compression ratio.

Mesh:

Year:  2008        PMID: 18595812     DOI: 10.1109/TBME.2008.919729

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

1.  Compression of high-density EMG signals for trapezius and gastrocnemius muscles.

Authors:  Cinthia Itiki; Sergio S Furuie; Roberto Merletti
Journal:  Biomed Eng Online       Date:  2014-03-10       Impact factor: 2.819

2.  S-EMG signal compression based on domain transformation and spectral shape dynamic bit allocation.

Authors:  Marcel Henrique Trabuco; Marcus Vinícius Chaffim Costa; Francisco Assis de Oliveira Nascimento
Journal:  Biomed Eng Online       Date:  2014-02-27       Impact factor: 2.819

3.  Comparison study of EMG signals compression by methods transform using vector quantization, SPIHT and arithmetic coding.

Authors:  Eloundou Pascal Ntsama; Welba Colince; Pierre Ele
Journal:  Springerplus       Date:  2016-04-12

4.  SEMG signal compression based on two-dimensional techniques.

Authors:  Wheidima Carneiro de Melo; Eddie Batista de Lima Filho; Waldir Sabino da Silva Júnior
Journal:  Biomed Eng Online       Date:  2016-04-18       Impact factor: 2.819

  4 in total

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