Computer analysis of auditory brainstem evoked potentials

Author

Dobrowolski, Andrzej P. ; Suchocki, Michal ; Tomczykiewicz, Kazimierz

Author_Institution

Fac. of Electron., Mil. Univ. of Technol., Warsaw, Poland

fYear

2011

fDate

29-30 Sept. 2011

Firstpage

1

Lastpage

6

Abstract

The paper presents issues associated with examination of auditory evoked potentials. Considering that the current methods are mainly based on timing interpretation of waveform potentials that requires significant experience from examining neurologist, the authors have undertaken the task aimed at elimination of subjective assessment of results and automation of the tests. By applying methods of digital signal processing, the authors have isolated distinctive features of evoked potentials, which allows for differentiating the normal results from pathological cases. The use of wavelet decomposition and linear SVM network has ensured correct classification of 40 different clinical cases, including 20 normal and 20 pathological cases.

Keywords

auditory evoked potentials; brain; feature extraction; medical signal processing; neurophysiology; support vector machines; timing; waveform analysis; auditory brainstem evoked potentials; computer analysis; digital signal processing; distinctive feature extraction; linear SVM network; neurologist; pathological cases; subjective assessment; timing interpretation; waveform potentials; wavelet decomposition; Auditory system; Ear; Electric potential; Electrodes; Neurons; Support vector machines; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference Proceedings (SPA), 2011

Conference_Location

Poznan

Print_ISBN

978-1-4577-1486-3

Type

conf

Filename

6190949