Autoregressive spectral modeling of Motor Unit Action Potentials: Preliminary findings

A. Elia, C. Pattichis, W. Fincham, A. Spanias, L. Middleton

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

1 Scopus citations

Abstract

Autoregressive (AR) spectral modeling of Motor Unit Action Potentials (MUAPs) has been suggested in the past but not thoroughly investigated. In this study AR spectral modeling was applied on MUAPs recorded from the biceps muscle. The AR parameters were estimated using the Yule-Walker, Burg, and Modified Covariance methods. Findings suggest that a similar spectral envelope was obtained by the Burg and the Modified Covariance methods of order 12.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992
EditorsJean Pierre Morucci, Robert Plonsey, Swamy Laxminarayan, Jean Louis Coatrieux
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1465-1466
Number of pages2
ISBN (Electronic)0780307852
DOIs
StatePublished - 1992
Event14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992 - Paris, France
Duration: Oct 29 1992Nov 1 1992

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume4
ISSN (Print)1557-170X

Conference

Conference14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992
Country/TerritoryFrance
CityParis
Period10/29/9211/1/92

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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