Suppression of stimulus artifact contaminating electrically evoked electromyography.

BACKGROUND: Electrical stimulation of muscle or nerve is a very useful technique for understanding of muscle activity and its pathological changes for both diagnostic and therapeutic purposes. During electrical stimulation of a muscle, the recorded M wave is often contaminated by a stimulus artifact...

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Publicado en:NeuroRehabilitation Vol. 34; no. 2; pp. 381 - 390
Autores principales: Liu, Jie, Li, Sheng, Li, Xiaoyan, Klein, Cliff, Rymer, William Z., Zhou, Ping
Formato: equations & formulas research tables/charts Journal Article
Publicado: Sage Publications Inc. 2014
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Suppression of stimulus artifact contaminating electrically evoked electromyography.
      aug:
        au:
          Liu, Jie
          Li, Sheng
          Li, Xiaoyan
          Klein, Cliff
          Rymer, William Z.
          Zhou, Ping
        affil: Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL, USA
      sug:
        subj:
          Artifacts
          Electromyography
          Diagnostic Errors Prevention and Control
          Human
          Funding Source
          Biceps Brachii Muscles
          In Vitro Studies
      ab: BACKGROUND: Electrical stimulation of muscle or nerve is a very useful technique for understanding of muscle activity and its pathological changes for both diagnostic and therapeutic purposes. During electrical stimulation of a muscle, the recorded M wave is often contaminated by a stimulus artifact. The stimulus artifact must be removed for appropriate analysis and interpretation of M waves. OBJECTIVES: The objective of this study was to develop a novel software based method to remove stimulus artifacts contaminating or superimposing with electrically evoked surface electromyography (EMG) or M wave signals. METHODS: The multiple stage method uses a series of signal processing techniques, including highlighting and detection of stimulus artifacts using Savitzky-Golay filtering, estimation of the artifact contaminated region with Otsu thresholding, and reconstruction of such region using signal interpolation and smoothing. The developed method was tested using M wave signals recorded from biceps brachii muscles by a linear surface electrode array. To evaluate the performance, a series of semi-synthetic signals were constructed from clean M wave and stimulus artifact recordings with different degrees of overlap between them. RESULTS: The effectiveness of the developed method was quantified by a significant increase in correlation coefficient and a significant decrease in root mean square error between the clean M wave and the reconstructed M wave, compared with those between the clean M wave and the originally contaminated signal. The validity of the developed method was also demonstrated when tested on each channel's M wave recording using a linear electrode array. CONCLUSIONS: The developed method can suppress stimulus artifacts contaminating M wave recordings.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
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        Journal Article
      ougenre: Article
    language: English
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