Skip to main content
Log in

Classification of the electromyogram by a pattern-recognition method

  • Published:
Medical and Biological Engineering and Computing Aims and scope Submit manuscript

Abstract

A pattern-recognition method is described for classifying electromyographic motor-unit interference patterns as normal or myopathic. Time-domain features of the signal are used in a procedure that is easily implemented on a microcomputer to provide the clinical electromyographer with diagnostic information

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Duda, R. O. andHart, P. E. (1973)Pattern classification and scene analysis. Wiley, New York.

    Google Scholar 

  • Eberstein, A. andGoodgold, J. (1978) Computer analysis in clinical electromyography.Am. J. Phys. Med.,57, 77–83.

    Google Scholar 

  • Fusfeld, R. D. (1978) Instrument for quantitative analysis of the electromyogram.Med. & Biol. Eng. & Comput.,16, 290–295.

    Google Scholar 

  • Hjorth, B. (1973) The physical significance of time domain descriptors in EEG analysis.Electroenceph. Clin. Neurophysiol.,34, 321–325.

    Article  Google Scholar 

  • Morrison, D. F. (1976).Multivariate statistical methods, 2nd Ed. McGraw-Hill, New York.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fusfeld, R.D. Classification of the electromyogram by a pattern-recognition method. Med. Biol. Eng. Comput. 20, 496–500 (1982). https://doi.org/10.1007/BF02442412

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02442412

Keywords

Navigation