On detection of pathological tremor in electroencephalograms [Elektronski vir]
Istenič, Rok, 1981- ; Divjak, Matjaž ; Holobar, Aleš
This study examines the feasibility of online detection of tremor-related component in noninvasively acquired multichannel electroencephalographic (EEG)signals. In particular, performances of ...different feature extraction techniques, ranging from time-frequency and timescale analysis to blind source separation of EEG signals are mutually compared and their suitability for online tremor detection in EEG discussed. The results on EEG signals from five tremor-affected patients demonstrate that, under constraint of high frequency resolution, the time-frequency analysis combined with support vector machine classifiers offers acceptable accuracy in tremor detections (sensitivity > 90 % at specificity of 90 % orabove). The other tested approaches either fail to reliably identify the presence of the tremor-related EEG component or suffer from large inter subjectand/or inter-trail variability.
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