A Sequential Detection Method for Late Auditory Evoked Potentials
A Sequential Detection Method for Late Auditory Evoked Potentials
This work presents a novel mechanism for detection of late auditory evoked potentials (AEP). AEPs, which are an important diagnostic tool to detect hearing deficiencies, are contained within the electroencephalogram (EEG) at a very low SNR. Our proposed automatic detection of AEPs is based on the Wavelet-Transform of EEG data for feature extraction. Several transform coefficients are then used for a classification by a neural network; its decisions on successive EEG segments are judged by a sequential statistical test. This test stops when a certain confidence is reached to either accept or reject an AEP. Besides providing an objective recognition of AEPs, this procedure can considerably reduce measurement time.
0-7803-3811-1
999-1000
Hoppe, U
1ea58c94-a9b1-40b4-af4b-71e38646d0e2
Eysholdt, U
73a8b4d6-1f93-4c89-9a74-59f7ccc15a11
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
November 1996
Hoppe, U
1ea58c94-a9b1-40b4-af4b-71e38646d0e2
Eysholdt, U
73a8b4d6-1f93-4c89-9a74-59f7ccc15a11
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Hoppe, U, Eysholdt, U and Weiss, S
(1996)
A Sequential Detection Method for Late Auditory Evoked Potentials.
18th Annual Conference of the EEE Engineering in Medicine and Biology Society.
.
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Abstract
This work presents a novel mechanism for detection of late auditory evoked potentials (AEP). AEPs, which are an important diagnostic tool to detect hearing deficiencies, are contained within the electroencephalogram (EEG) at a very low SNR. Our proposed automatic detection of AEPs is based on the Wavelet-Transform of EEG data for feature extraction. Several transform coefficients are then used for a classification by a neural network; its decisions on successive EEG segments are judged by a sequential statistical test. This test stops when a certain confidence is reached to either accept or reject an AEP. Besides providing an objective recognition of AEPs, this procedure can considerably reduce measurement time.
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Published date: November 1996
Additional Information:
nominated for European Student Paper Award Organisation: IEEE Address: Amsterdam, The Netherlands
Venue - Dates:
18th Annual Conference of the EEE Engineering in Medicine and Biology Society, 1996-11-01
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 251907
URI: http://eprints.soton.ac.uk/id/eprint/251907
ISBN: 0-7803-3811-1
PURE UUID: 8c2b4126-b054-45d5-a3a9-0133d55ed8e2
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Date deposited: 08 Nov 2000
Last modified: 14 Mar 2024 05:13
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Contributors
Author:
U Hoppe
Author:
U Eysholdt
Author:
S Weiss
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