Frequency analysis of lower extremity electromyography signals for the quantitative diagnosis of dystonia

Shanette A. Go, Krista Coleman-Wood, Kenton R. Kaufman

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

The purpose of this study was to develop an objective, quantitative tool for the diagnosis of lower extremity dystonia. Frequency domain analysis was performed on surface and fine-wire electromyography (EMG) signals collected from the lower extremity musculature of ten patients with suspected dystonia while performing walking trials at self-selected speeds. The median power frequency (MdPF) and percentage of total power contained in the low frequency range (%AUCTotal) were determined for each muscle studied. Muscles exhibiting clinical signs of dystonia were found to have a shift of the MdPF to lower frequencies and a simultaneous increase in the %AUCTotal. A threshold frequency of 70Hz identified dystonic muscles with 73% sensitivity and 63% specificity. These results indicate that frequency analysis can accurately distinguish dystonic from non-dystonic muscles.

Original languageEnglish (US)
Pages (from-to)31-36
Number of pages6
JournalJournal of Electromyography and Kinesiology
Volume24
Issue number1
DOIs
StatePublished - Feb 1 2014

Keywords

  • Dystonia
  • Electromyography
  • Frequency analysis
  • Lower extremity

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Biophysics
  • Clinical Neurology

Fingerprint Dive into the research topics of 'Frequency analysis of lower extremity electromyography signals for the quantitative diagnosis of dystonia'. Together they form a unique fingerprint.

  • Cite this