Literature DB >> 8869484

Stimulus artifact removal in EMG from muscles adjacent to stimulated muscles.

A E Hines1, P E Crago, G J Chapman, C Billian.   

Abstract

When stimulating muscles, EMG signals recorded in neighboring muscles can be contaminated by stimulus artifacts, and artifact deletion is necessary. We have devised a digital technique for removing stimulus artifacts from rectified EMG recordings in muscles which lie close to a stimulated muscle. This artifact deletion method replaces the rectified EMG during the artifact interval with an estimate of the rectified EMG. Our research requires detection of very small changes in EMG levels. Therefore, the artifact deletion technique described in this paper was designed to leave less than 10 microV of artifact in the rectified EMG post-processing. This technique relies on being able to estimate the artifact duration. Since stimulated muscles have M-waves that can overlap with artifacts, our technique is only appropriate for removing artifacts in muscles which are not being stimulated. Unlike other artifact elimination techniques, our technique does not change the mean value of the rectified EMG, regardless of artifact width. In addition, it provides a more accurate estimate of the rectified EMG during the artifact interval as opposed to sample-and-hold techniques.

Mesh:

Year:  1996        PMID: 8869484     DOI: 10.1016/0165-0270(95)00099-2

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  3 in total

1.  A novel device to suppress electrical stimulus artifacts in electrophysiological experiments.

Authors:  Thomas Wichmann; Annaelle Devergnas
Journal:  J Neurosci Methods       Date:  2011-07-01       Impact factor: 2.390

2.  Signal processing methods for reducing artifacts in microelectrode brain recordings caused by functional electrical stimulation.

Authors:  D Young; F Willett; W D Memberg; B Murphy; B Walter; J Sweet; J Miller; L R Hochberg; R F Kirsch; A B Ajiboye
Journal:  J Neural Eng       Date:  2018-04       Impact factor: 5.379

3.  Evaluation of methods for extraction of the volitional EMG in dynamic hybrid muscle activation.

Authors:  Eran Langzam; Eli Isakov; Joseph Mizrahi
Journal:  J Neuroeng Rehabil       Date:  2006-11-23       Impact factor: 4.262

  3 in total

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