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dc.contributor.authorXiao, Feng
dc.contributor.authorYuchi, Ming
dc.contributor.authorJo, Jun
dc.contributor.authorDing, Ming-yue
dc.contributor.authorHou, Wen-guang
dc.contributor.editorYu, W
dc.contributor.editorHe, HB
dc.contributor.editorZhang, N
dc.date.accessioned2017-05-03T13:22:08Z
dc.date.available2017-05-03T13:22:08Z
dc.date.issued2009
dc.date.modified2010-08-24T06:52:13Z
dc.identifier.issn0302-9743
dc.identifier.doi10.1007/978-3-642-01513-7_120
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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer-Verlag
dc.publisher.placeGermany
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom1089
dc.relation.ispartofpageto1096
dc.relation.ispartofjournalLecture Notes In Computer Science
dc.relation.ispartofvolume5553
dc.rights.retentionY
dc.subject.fieldofresearchHuman-computer interaction
dc.subject.fieldofresearchcode460806
dc.titleA research of physical activity’s influence on heart rate using feedforward neural network
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2009
gro.hasfulltextNo Full Text
gro.griffith.authorJo, Jun


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