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Conference Paper: Order statistic correlation coefficient and its application to association measurement of biosignals

TitleOrder statistic correlation coefficient and its application to association measurement of biosignals
Authors
KeywordsEngineering
Electrical engineering
Issue Date2006
PublisherI E E E. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000002
Citation
Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2006, v. 2, p. II1068-II1071 How to Cite?
AbstractIn this paper we propose a novel and fast nonlinear association measure based on order statistics and rearrangement inequality. We employ one episode of heart signal, one episode of EEG signal and 1000 white Gaussian noises in our study. Extensive statistical analysis are performed based on one linear model and one nonlinear model. Comparative studies with three other prominent methods are presented. Theoretical derivations and experimental results suggest that our new method has small biasedness, high sensitivity to changes in association, fast computational speed, and robustness under monotone nonlinear transformations. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/45885
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorXu, Wen_HK
dc.contributor.authorChang, Cen_HK
dc.contributor.authorHung, YSen_HK
dc.contributor.authorKwan, SKen_HK
dc.contributor.authorFung, PCWen_HK
dc.date.accessioned2007-10-30T06:37:43Z-
dc.date.available2007-10-30T06:37:43Z-
dc.date.issued2006en_HK
dc.identifier.citationIcassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 2006, v. 2, p. II1068-II1071en_HK
dc.identifier.issn1520-6149en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45885-
dc.description.abstractIn this paper we propose a novel and fast nonlinear association measure based on order statistics and rearrangement inequality. We employ one episode of heart signal, one episode of EEG signal and 1000 white Gaussian noises in our study. Extensive statistical analysis are performed based on one linear model and one nonlinear model. Comparative studies with three other prominent methods are presented. Theoretical derivations and experimental results suggest that our new method has small biasedness, high sensitivity to changes in association, fast computational speed, and robustness under monotone nonlinear transformations. © 2006 IEEE.en_HK
dc.format.extent196859 bytes-
dc.format.extent585892 bytes-
dc.format.extent4066 bytes-
dc.format.extent2762 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
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dc.languageengen_HK
dc.publisherI E E E. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000002en_HK
dc.relation.ispartofICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2006 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.subjectEngineeringen_HK
dc.subjectElectrical engineeringen_HK
dc.titleOrder statistic correlation coefficient and its application to association measurement of biosignalsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1520-6149&volume=2&spage=1068&epage=1071&date=2006&atitle=Order+Statistic+Correlation+Coefficient+and+Its+Application+to+Association+Measurement+of+Biosignalsen_HK
dc.identifier.emailXu, W: wcxu@eee.hku.hken_HK
dc.identifier.emailChang, C: cqchang@eee.hku.hken_HK
dc.identifier.emailHung, YS: yshung@hkucc.hku.hken_HK
dc.identifier.authorityXu, W=rp00198en_HK
dc.identifier.authorityChang, C=rp00095en_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICASSP.2006.1660531en_HK
dc.identifier.scopuseid_2-s2.0-33947690178en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33947690178&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2en_HK
dc.identifier.spageII1068en_HK
dc.identifier.epageII1071en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridXu, W=7404428876en_HK
dc.identifier.scopusauthoridChang, C=7407033052en_HK
dc.identifier.scopusauthoridHung, YS=8091656200en_HK
dc.identifier.scopusauthoridKwan, SK=7102903642en_HK
dc.identifier.scopusauthoridFung, PCW=7101613315en_HK

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