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Article: An enhanced approach to adaptive processing of the brain stem auditory evoked potential

TitleAn enhanced approach to adaptive processing of the brain stem auditory evoked potential
Authors
KeywordsElectricity
Issue Date1994
PublisherAustralasian College of Physical Scientists and Engineers in Medicine.
Citation
Australasian Physical & Engineering Sciences in Medicine, 1994, v. 17 n. 3, p. 131-135 How to Cite?
AbstractThe present paper describes an adaptive signal enhancer (ASE) method for improving signal-to-noise ratio (SNR) and also for tracking the variation of brain-stem auditory evoked potential (BAEP). The enhancer has two inputs: a primary input which is the original data to be processed, consisting of signal badly corrupted by noise, and a reference input. A method called dynamic averaging (DA) is introduced to obtain the reference input. The improved reference signal allows closer tracking of evoked potential in each subsequent trial. For BAEP measurement in human, the SNR is typically very low. It requires about 200 ensembles to generate the reference input acceptable for ASE, and tracking of the variation of BAEP can be obtained satisfactorily. Our results show that while ensemble averaging is still needed, the total number of ensembles is greatly reduced. The adaptive method thus reduces the time of measurement for BAEP compared with the conventional method of ensemble averaging.
Persistent Identifierhttp://hdl.handle.net/10722/210358
ISSN
2015 Impact Factor: 0.676
2015 SCImago Journal Rankings: 0.293

 

DC FieldValueLanguage
dc.contributor.authorQiu, W-
dc.contributor.authorChan, FHY-
dc.contributor.authorLam, FK-
dc.contributor.authorPoon, PWF-
dc.date.accessioned2015-06-10T03:16:20Z-
dc.date.available2015-06-10T03:16:20Z-
dc.date.issued1994-
dc.identifier.citationAustralasian Physical & Engineering Sciences in Medicine, 1994, v. 17 n. 3, p. 131-135-
dc.identifier.issn0158-9938-
dc.identifier.urihttp://hdl.handle.net/10722/210358-
dc.description.abstractThe present paper describes an adaptive signal enhancer (ASE) method for improving signal-to-noise ratio (SNR) and also for tracking the variation of brain-stem auditory evoked potential (BAEP). The enhancer has two inputs: a primary input which is the original data to be processed, consisting of signal badly corrupted by noise, and a reference input. A method called dynamic averaging (DA) is introduced to obtain the reference input. The improved reference signal allows closer tracking of evoked potential in each subsequent trial. For BAEP measurement in human, the SNR is typically very low. It requires about 200 ensembles to generate the reference input acceptable for ASE, and tracking of the variation of BAEP can be obtained satisfactorily. Our results show that while ensemble averaging is still needed, the total number of ensembles is greatly reduced. The adaptive method thus reduces the time of measurement for BAEP compared with the conventional method of ensemble averaging.-
dc.languageeng-
dc.publisherAustralasian College of Physical Scientists and Engineers in Medicine.-
dc.relation.ispartofAustralasian Physical & Engineering Sciences in Medicine-
dc.subjectElectricity-
dc.subject.meshElectricity-
dc.subject.meshEvoked Potentials, Auditory, Brain Stem-
dc.subject.meshHumans-
dc.subject.meshModels-
dc.subject.meshTheoretical-
dc.titleAn enhanced approach to adaptive processing of the brain stem auditory evoked potential-
dc.typeArticle-
dc.identifier.emailChan, FHY: fhychan@hkueee.hku.hk-
dc.identifier.emailLam, FK: fklam@hkueee.hku.hk-
dc.identifier.pmid7980202-
dc.identifier.hkuros1771-
dc.identifier.volume17-
dc.identifier.issue3-
dc.identifier.spage131-
dc.identifier.epage135-
dc.publisher.placeAustralia-

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