Show simple item record

dc.contributor.convenorJong-Hwan Kimen_AU
dc.contributor.authorXiao, Fengen_US
dc.contributor.authorYuchi, Mingen_US
dc.contributor.authorDing, Ming-yueen_US
dc.contributor.authorJo, Jun Hyungen_US
dc.contributor.authorKim, Jong-Hwanen_US
dc.contributor.editorJong-Hwan Kimen_US
dc.date.accessioned2017-05-03T13:22:08Z
dc.date.available2017-05-03T13:22:08Z
dc.date.issued2009en_US
dc.date.modified2010-10-06T06:56:09Z
dc.identifier.refurihttp://www.cira2009.info/en_AU
dc.identifier.doi10.1109/CIRA.2009.5423181en_AU
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.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent692812 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherCIRASen_US
dc.publisher.placeIncheon, Koreaen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameCIRCA2009en_US
dc.relation.ispartofconferencetitle2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation: Proceedingsen_US
dc.relation.ispartofdatefrom2009-12-15en_US
dc.relation.ispartofdateto2009-12-18en_US
dc.relation.ispartoflocationDaejeon, Koreaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchNeural, Evolutionary and Fuzzy Computationen_US
dc.subject.fieldofresearchcode080108en_US
dc.titleA Multi-step Heart Rate Prediction Method based on Physical Activity using Adams-Bashforth Techniqueen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 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.en_AU
gro.date.issued2009
gro.hasfulltextFull Text


Files in this item

This item appears in the following Collection(s)

  • Conference outputs
    Contains papers delivered by Griffith authors at national and international conferences.

Show simple item record