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 language | English |
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Title of host publication | Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 1097-1098 |
DOIs | |
Publication status | Published - 1 Dec 1994 |
MoE publication type | A4 Article in a conference publication |
Event | 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Baltimore, United States Duration: 3 Nov 1994 → 6 Nov 1994 |
Conference
Conference | 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Country/Territory | United States |
City | Baltimore |
Period | 3/11/94 → 6/11/94 |