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dc.contributor.authorYuchi, Mingen_US
dc.contributor.authorJo, Jun Hyungen_US
dc.contributor.editorGeuk Lee, TaeNam Ahn, Daniel Howard, Dominik Slezaken_US
dc.date.accessioned2017-05-03T16:57:00Z
dc.date.available2017-05-03T16:57:00Z
dc.date.issued2008en_US
dc.date.modified2010-10-27T08:29:05Z
dc.identifier.doi10.1109/ICHIT.2008.175en_AU
dc.identifier.urihttp://hdl.handle.net/10072/24804
dc.description.abstractThe technique of combining heart rate (HR) and physical activity (PA) has been adopted in a number of research areas, such as energy expenditure measurement, autonomic nervous system assessment, sports research, etc. However, there have been few studies on the direct relationship between HR and PA. This paper proposes a HR prediction model based on the relationship between HR and PA. The predictor has the potential to be used in various areas, such as: cardiopathy research and diagnosis, heart attack warning indicator, sports capability measure and mental activity evaluation. The method has the following steps: first, the recorded HR and PA signals are preprocessed as two synchronized time sequences: HR(n) and PA(n). The inputs of the predictor are HR(n) and PA(n) in the current time step, and the output is the predicted sequence HR(n + 1) in the next time step. The feed forward neural network (FFNN) was chosen as the mathematical model of the predictor. Experiments was conducted based on the real-life signals from a healthy male. A set of 90 minute signals were collected. One half of the signal set was used to train the FFNN and the other half to validate the training. The mean absolute error of the predicted heart rate was restricted inside 5. The result shows the potential of the proposed method.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent293555 bytes
dc.format.extent25880 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeUSAen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencename2008 nternational Conference on Convergence and Hybrid Information Technology (ICHIT 2008)en_US
dc.relation.ispartofconferencetitleProceedings of the 2008 International Conference on Convergence and Hybrid Information Technology (ICHIT 2008)en_US
dc.relation.ispartofdatefrom2008-08-28en_US
dc.relation.ispartofdateto2008-08-29en_US
dc.relation.ispartoflocationDaejeon, Koreaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchEngineering not elsewhere classifieden_US
dc.subject.fieldofresearchcode099999en_US
dc.titleHeart Rate Prediction Based on Physical Activity using Feedforward Neural Networken_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 2008 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.issued2008
gro.hasfulltextFull Text


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