Power spectral analysis of surface EMG in stroke: A preliminary study

Sudarsan Srivatsan, Xiaogang Hu, Brian Jeon, Aneesha K. Suresh, William Zev Rymer, Nina L. Suresh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The objective of this preliminary study was to examine the utility of power spectral analysis of recorded surface EMG signals in identifying altered MUAP characteristics in hand muscles of stroke survivors. We derived parameters from EMG power spectral analysis, such as frequency range and median frequency and made comparisons between data obtained from the affected and contralateral sides of stroke subjects. The goal was to identify whether power spectral analysis of the surface EMG could be used to infer changes in action potential characteristics that can occur in post-stroke muscle. We utilized both a standard single differential electrode (Delsys, Inc.) and in a separate set of experiments, a sensor array electrode (Delsys, Inc.) that consists of 5 slender cylindrical probes. Recordings were made during isometric force contractions at varying levels. Utilizing a novel decomposition system (Delsys, Inc.) and the sensor array electrode, we were able to derive MUAP parameters, such as p-p amplitude and p-p duration. Preliminary results suggest that there were significant differences in the median frequency values between the stroke and contralateral side of three tested stroke subjects; however, this did not follow the differences in MUAP p-p duration values. There were also significant differences in the median frequency recorded from the sensor array electrode as compared to the single differential electrode on both the stroke and contralateral sides of our tested stroke subjects, as expected. We discuss the possible explanations for our results, specifically pertaining to the clinical scores for each subject.

Original languageEnglish (US)
Title of host publication2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Pages1606-1609
Number of pages4
DOIs
StatePublished - 2013
Event2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
Duration: Nov 6 2013Nov 8 2013

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Other

Other2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
CountryUnited States
CitySan Diego, CA
Period11/6/1311/8/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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