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Conference Paper: Detection and quantification of venous air embolism by wavelet analysis of Doppler heart sound

TitleDetection and quantification of venous air embolism by wavelet analysis of Doppler heart sound
Authors
KeywordsMedical sciences
Computer applications
Issue Date1996
PublisherIEEE.
Citation
Bridging Disciplines for Biomedicine, the 18th IEEE Engineering in Medicine and Biology Society Conference Proceedings, Amsterdam, 31 October - 3 November 1996, v. 3, p. 1019-1020 How to Cite?
AbstractThe wavelet analysis of the Doppler heart sound detected under controlled venous air embolism at sub-clinically and clinically significant volumes was studied in anaesthetized dogs. Signal processing with wavelet enhances the Dower of embolic signal and facilitates the simple detection and extraction of embolic heart beats by thresholding. The cumulative power of the extracted embolic heart beats is found to be linearly related to the volume of embolic air on the log-log scale, suggesting that it is feasible to estimate clinically significant volume of embolic air in human subjects by linearly extrapolating from sub-clinical embolic volumes.
Persistent Identifierhttp://hdl.handle.net/10722/46010
ISSN

 

DC FieldValueLanguage
dc.contributor.authorChan, FHYen_HK
dc.contributor.authorChan, BCBen_HK
dc.contributor.authorLam, FKen_HK
dc.contributor.authorPoon, PWFen_HK
dc.contributor.authorLui, PWen_HK
dc.contributor.authorWang, Hen_HK
dc.date.accessioned2007-10-30T06:40:34Z-
dc.date.available2007-10-30T06:40:34Z-
dc.date.issued1996en_HK
dc.identifier.citationBridging Disciplines for Biomedicine, the 18th IEEE Engineering in Medicine and Biology Society Conference Proceedings, Amsterdam, 31 October - 3 November 1996, v. 3, p. 1019-1020en_HK
dc.identifier.issn1557-170Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/46010-
dc.description.abstractThe wavelet analysis of the Doppler heart sound detected under controlled venous air embolism at sub-clinically and clinically significant volumes was studied in anaesthetized dogs. Signal processing with wavelet enhances the Dower of embolic signal and facilitates the simple detection and extraction of embolic heart beats by thresholding. The cumulative power of the extracted embolic heart beats is found to be linearly related to the volume of embolic air on the log-log scale, suggesting that it is feasible to estimate clinically significant volume of embolic air in human subjects by linearly extrapolating from sub-clinical embolic volumes.en_HK
dc.format.extent219203 bytes-
dc.format.extent13817 bytes-
dc.format.extent8841 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectMedical sciencesen_HK
dc.subjectComputer applicationsen_HK
dc.titleDetection and quantification of venous air embolism by wavelet analysis of Doppler heart sounden_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1557-170X&volume=3&spage=1019&epage=1020&date=1996&atitle=Detection+and+quantification+of+venous+air+embolism+by+wavelet+analysis+of+Doppler+heart+sounden_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/IEMBS.1996.652689en_HK
dc.identifier.hkuros27174-

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