EMG pattern classification of normal and anterior cruciate ligament injured subjects

Li gun Zhang*, Richard Shiavi

*Corresponding author for this work

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

Abstract

The authors have analyzed features of electromyographic (EMG) linear envelopes from six muscles of normal and anterior-cruciate-ligament-injured subjects and found that their phase spectra play major roles in determining the waveform. Pattern classification of six muscles was then done based on such features, and clusterings of some abnormal EMG waveforms were obtained. Several criteria for determining the optimal cluster number were also investigated.

Original languageEnglish (US)
Title of host publicationIEEE/Engineering in Medicine and Biology Society Annual Conference
PublisherPubl by IEEE
Pages1192-1193
Number of pages2
Volume10 pt 3
StatePublished - Dec 1 1988
EventProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society - New Orleans, LA, USA
Duration: Nov 4 1988Nov 7 1988

Other

OtherProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityNew Orleans, LA, USA
Period11/4/8811/7/88

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'EMG pattern classification of normal and anterior cruciate ligament injured subjects'. Together they form a unique fingerprint.

Cite this