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Updated: Jun 6, 2026

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
Published on: May 10, 2019
Wavelet analysis for Support Vector Machine classification of motor unit action potentials
Andrzej P Dobrowolski1, Mariusz Wierzbowski, Kazimierz Tomczykiewicz
1Faculty of Electronics, Military University of Technology, 2 Kaliskiego St., 00-908 Warsaw, Poland. ADobrowolski@wat.edu.pl
Abstract:
The paper presents a new method for neuromuscular disorders diagnosis based on analysis of scalograms determined by the Symlet 4 wavelets technique. Obtained results served for extraction of five features, which, after SVM analysis, were reduced to a single decision parameter allowing assigning the investigated cases to one of three groups: myogenic, neurogenic or normal. Software implementation of the method permitted to create a diagnostic tool for EMG investigation aid. The method characterizes high probability of accurate diagnosis of a muscle state with total error of 0.5% - 4 misclassifications out of 780 examined cases.
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