Recognition and Reconstruction of Late Auditory Evoked Potentials Using Wavelet Analysis
Recognition and Reconstruction of Late Auditory Evoked Potentials Using Wavelet Analysis
In this paper we introduce a recognition and reconstruction method for late auditory evoked potentials (AEPs) using wavelet analysis. AEPs are part of the Electroencephalogram (EEG) in reaction to acoustic stimuli and are used for diagnostic purposes. The decomposition of the EEG measurement data into subbands can yield a parameterization of the AEP using a small number of significant coefficients, which can be determined by surveying distributions of the transform coefficients. This method is more reliable than traditional means, and additionally offers the possibility of reconstruction potential AEPs by performing an inverse transform on significant coefficients.
0-7803-3512-0
473-476
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Hoppe, U
1ea58c94-a9b1-40b4-af4b-71e38646d0e2
June 1996
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Hoppe, U
1ea58c94-a9b1-40b4-af4b-71e38646d0e2
Weiss, S and Hoppe, U
(1996)
Recognition and Reconstruction of Late Auditory Evoked Potentials Using Wavelet Analysis.
IEEE SP International Symposium on Time-Frequency and Time-Scale Analysis.
.
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Abstract
In this paper we introduce a recognition and reconstruction method for late auditory evoked potentials (AEPs) using wavelet analysis. AEPs are part of the Electroencephalogram (EEG) in reaction to acoustic stimuli and are used for diagnostic purposes. The decomposition of the EEG measurement data into subbands can yield a parameterization of the AEP using a small number of significant coefficients, which can be determined by surveying distributions of the transform coefficients. This method is more reliable than traditional means, and additionally offers the possibility of reconstruction potential AEPs by performing an inverse transform on significant coefficients.
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Published date: June 1996
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Organisation: IEEE Address: Paris, France
Venue - Dates:
IEEE SP International Symposium on Time-Frequency and Time-Scale Analysis, 1996-06-01
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 251905
URI: http://eprints.soton.ac.uk/id/eprint/251905
ISBN: 0-7803-3512-0
PURE UUID: 5ebe434b-7078-48d1-98da-70d004fca56c
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Date deposited: 08 Nov 2000
Last modified: 14 Mar 2024 05:13
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Author:
S Weiss
Author:
U Hoppe
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