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

M. J. van Gils; P. J.M. Cluitmans

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

Research output: Contribution to journal › Conference article › Scientific › peer-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 language	English
Pages (from-to)	1097-1098
Number of pages	2
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	16
Issue number	pt 2
Publication status	Published - 1994
Externally published	Yes
Publication type	Not Eligible
Event	Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2) - Baltimore, MD, USA Duration: 3 Nov 1994 → 6 Nov 1994

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Cite this

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title = "Automatic peak identification in auditory evoked potentials with the use of artificial neural networks",

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.",

author = "\{van Gils\}, \{M. J.\} and Cluitmans, \{P. J.M.\}",

year = "1994",

language = "English",

volume = "16",

pages = "1097--1098",

number = "pt 2",

note = "Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2) ; Conference date: 03-11-1994 Through 06-11-1994",

}

Automatic peak identification in auditory evoked potentials with the use of artificial neural networks. / van Gils, M. J.; Cluitmans, P. J.M.
In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Vol. 16, No. pt 2, 1994, p. 1097-1098.

Research output: Contribution to journal › Conference article › Scientific › peer-review

TY - JOUR

T1 - Automatic peak identification in auditory evoked potentials with the use of artificial neural networks

AU - van Gils, M. J.

AU - Cluitmans, P. J.M.

PY - 1994

Y1 - 1994

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0028751059

M3 - Conference article

AN - SCOPUS:0028751059

SN - 0589-1019

VL - 16

SP - 1097

EP - 1098

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

IS - pt 2

T2 - Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2)

Y2 - 3 November 1994 through 6 November 1994

ER -

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

Abstract

ASJC Scopus subject areas

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