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Frequency analysis of lower extremity electromyography signals for the quantitative diagnosis of dystonia
Affiliation:1. Mayo Graduate School, Mayo Medical School and the Mayo Clinic Medical Scientist Training Program, Mayo Clinic, Rochester, MN 55905, USA;2. Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN 55905, USA;1. AstraZeneca Neuroscience, 141 Portland St., Cambridge, MA 02139, USA;2. AstraZeneca R&D Boston, 35 Gatehouse Drive, Waltham, MA 02451, USA;1. Department of Neurology, Universitätsmedizin Mannheim, University of Heidelberg, Germany;2. Department of Neurosurgery, Hannover Medical School, Germany;1. Department of Physical Education, Sports and Recreation. Universidad de La Frontera, Temuco, Chile;2. University of Jaen, Department of Corporal Expression, Campus de Las Lagunillas s/n. D2 Building, Dep. 142, 23071, Jaen, Spain;3. Universidad de Los Lagos, Department of Physical Activity Sciences, Quality of Life and Wellness Research Group, Laboratory of Human Performance, Osorno, Chile;4. Universidad San Jorge, Campus Universitario, A23 km 299, 50830. Villanueva de Gállego, Zaragoza, Spain
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 70 Hz identified dystonic muscles with 73% sensitivity and 63% specificity. These results indicate that frequency analysis can accurately distinguish dystonic from non-dystonic muscles.
Keywords:Dystonia  Frequency analysis  Electromyography  Lower extremity
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