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 language | English (US) |
---|---|
Pages (from-to) | 31-36 |
Number of pages | 6 |
Journal | Journal of Electromyography and Kinesiology |
Volume | 24 |
Issue number | 1 |
DOIs | |
State | Published - Feb 2014 |
Keywords
- Dystonia
- Electromyography
- Frequency analysis
- Lower extremity
ASJC Scopus subject areas
- Neuroscience (miscellaneous)
- Biophysics
- Clinical Neurology