Title :
Nonlinear processing of auditory brainstem response
Author :
Izworski, A. ; Tadeusiewicz, R. ; Paslawski, A.
Author_Institution :
Dept. of Automatics, AGH Univ. of Technol., Krakow, Poland
Abstract :
Auditory brainstem response potentials (ABR) are signals calculated from the EEG signals registered as responses to an acoustic activation of the auditory system. The ABR signals provide an objective, diagnostic method, widely applied in examinations of hearing organs. The shape of the time-dependent signal, and its possible distortion, and particularly the presence or absence of characteristic waves are of great diagnostic importance. In the present work methods of automated identification of wave V are presented, using multilayer perceptron type networks. Classification methods are also proposed, based on cascade architecture of the neural networks used for recognition of the context information.
Keywords :
auditory evoked potentials; electroencephalography; medical signal processing; multilayer perceptrons; pattern classification; pattern recognition; EEG signals; acoustic activation; auditory brainstem response potentials; automated identification; cascade architecture; characteristic waves; classification methods; context information recognition; diagnostic importance; distortion; hearing organs; multilayer perceptron type networks; neural networks; nonlinear processing; objective diagnostic method; time-dependent signal; wave V; Acoustic distortion; Auditory system; Biological neural networks; Electroencephalography; Multilayer perceptrons; Noise level; Nonlinear distortion; Shape; Signal analysis; Signal processing;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020563