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dc.contributor.convenorJong-Hwan Kim
dc.contributor.authorXiao, Feng
dc.contributor.authorMing, Yuchi
dc.contributor.authorDing, Ming-yue
dc.contributor.authorJo, Jun
dc.contributor.authorKim, Jong-Hwan
dc.contributor.editorJong-Hwan Kim
dc.date.accessioned2017-05-03T13:22:08Z
dc.date.available2017-05-03T13:22:08Z
dc.date.issued2009
dc.date.modified2010-10-06T06:56:09Z
dc.identifier.isbn978-1-4244-4808-1
dc.identifier.refurihttp://www.cira2009.info/
dc.identifier.doi10.1109/CIRA.2009.5423181
dc.identifier.urihttp://hdl.handle.net/10072/31898
dc.description.abstractPhysical activity (PA) is commonly recognized to directly influence changes in heart rate (HR). HR prediction based on PA can be a useful tool in medical research and monitoring in a clinical setting. In our previous works, predictors with high accuracy were designed. However, the HR could only be predicted in single time steps. In this study, a multi-step HR prediction method is proposed. Firstly, the HR prediction problem was converted into an Initial-Value Problem for Ordinary Differential Equation (IVPODE). Then the Adams-Bashforth method was used to implement multi-step prediction. Only HR at the initial time step and PA signals are needed. Experiments were conducted based on the real-life signals from a healthy male. Predicted HR can approximately trace the actual HR in a long time step. The results show the potential of this proposed method.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent692812 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_AU
dc.publisherCIRAS
dc.publisher.placeIncheon, Korea
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencenameIEEE International Symposium on Computational Intelligence in Robotics and Automation
dc.relation.ispartofconferencetitleIEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION
dc.relation.ispartofdatefrom2009-12-15
dc.relation.ispartofdateto2009-12-18
dc.relation.ispartoflocationDaejeon, SOUTH KOREA
dc.relation.ispartofpagefrom355
dc.relation.ispartofpageto+
dc.rights.retentionY
dc.subject.fieldofresearchNeural, Evolutionary and Fuzzy Computation
dc.subject.fieldofresearchcode080108
dc.titleA Multi-step Heart Rate Prediction Method based on Physical Activity using Adams-Bashforth Technique
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.rights.copyright© 2009 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.
gro.date.issued2009
gro.hasfulltextFull Text
gro.griffith.authorJo, Jun


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