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dc.contributor.authorXiao, Fengen_US
dc.contributor.authorYuchi, Mingen_US
dc.contributor.authorJo, Jun Hyungen_US
dc.contributor.authorDing, Ming-yueen_US
dc.contributor.authorHou, Wen-guangen_US
dc.contributor.editorWen Yu, Haibo He and Nian Zhangen_US
dc.date.accessioned2017-05-03T13:22:08Z
dc.date.available2017-05-03T13:22:08Z
dc.date.issued2009en_US
dc.date.modified2010-08-24T06:52:13Z
dc.identifier.issn03029743en_US
dc.identifier.doi10.1007/978-3-642-01513-7_120en_AU
dc.identifier.urihttp://hdl.handle.net/10072/30529
dc.description.abstractHeart rate (HR) signal analysis is widely used in the medicine and medical research area. Physical activities (PA) are commonly recognized to greatly affect the changes of heart rate. However, the direct relationship between heart rate and physical activities is hard to describe. In this paper, a model using feedforward neural network with the function of HR prediction is designed. This model reflects the effect how PA affect HR. Experiments was conducted based on the reallife signals from a healthy male. The mean absolute error of the predicted heart rate was relatively small. The result shows the potential of the proposed method.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringer-Verlagen_US
dc.publisher.placeGermanyen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom1089en_US
dc.relation.ispartofpageto1096en_US
dc.relation.ispartofjournalLecture Notes In Computer Scienceen_US
dc.relation.ispartofvolume5553en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchNeural, Evolutionary and Fuzzy Computationen_US
dc.subject.fieldofresearchComputer-Human Interactionen_US
dc.subject.fieldofresearchcode080108en_US
dc.subject.fieldofresearchcode080602en_US
dc.titleA research of physical activity’s influence on heart rate using feedforward neural networken_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.date.issued2009
gro.hasfulltextNo Full Text


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