Automatic peak identification in auditory evoked potentials with the use of artificial neural networks

M. J. van Gils, P. J M Cluitmans

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

Abstract

In this research artificial neural network (ANN) based feature extractors were investigated on their suitability to automate the assessment of the location of characteristic peaks in auditory evoked potentials (AEPs). Two types of feature extractors were tested on their ability to determine the latency of peak V and peak Pa in AEPs. The performance on peak V proved to be satisfactory, for the identification of peak Pa improvement is still desired.

Original languageEnglish
Title of host publicationProceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages1097-1098
DOIs
Publication statusPublished - 1 Dec 1994
MoE publication typeA4 Article in a conference publication
Event16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Baltimore, United States
Duration: 3 Nov 19946 Nov 1994

Conference

Conference16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CountryUnited States
CityBaltimore
Period3/11/946/11/94

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    van Gils, M. J., & Cluitmans, P. J. M. (1994). Automatic peak identification in auditory evoked potentials with the use of artificial neural networks. In Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1097-1098). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IEMBS.1994.415341