PPG-based heart rate estimation using Wiener filter, phase vocoder and Viterbi decoding

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dc.contributor.authorTemko, Andriy
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderWellcome Trusten
dc.date.accessioned2018-02-27T13:01:49Z
dc.date.available2018-02-27T13:01:49Z
dc.date.issued2017-06-19
dc.date.updated2018-02-15T12:16:35Z
dc.description.abstractAccurate heart rate (HR) estimation from the photoplethysmographic (PPG) signal during intensive physical exercises is tackled in this paper. Wiener filters are designed to attenuate the influence of motion artifacts. The phase vocoder is used to improve the initial Discrete Fourier transform (DFT) based frequency estimation. Additionally, Viterbi decoding is used as a novel post-processing step to find the path through time-frequency state-space plane. The system performance is assessed on a publically available dataset of 23 PPG recordings. The resulting algorithm is designed for scenarios that do not require online HR monitoring (swimming, offline fitness statistics). The resultant system with an error rate of 1.31 beats per minute outperforms all other systems reported to-date in literature and in contrast to existing alternatives requires no parameter to tune at the post-processing stage and operates at a much lower computational cost. The Matlab implementation is provided online.en
dc.description.sponsorshipWellcome Trust (Seed Award in Science 200704/Z/16)en
dc.description.statusPeer revieweden
dc.description.urihttp://www.ieee-icassp2017.org/en
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationTemko, A. (2017) 'PPG-based heart rate estimation using Wiener filter, phase vocoder and Viterbi decoding', IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, 5-9 March. doi:10.1109/ICASSP.2017.7952309en
dc.identifier.doi10.1109/ICASSP.2017.7952309
dc.identifier.endpage1017en
dc.identifier.startpage1013en
dc.identifier.urihttps://hdl.handle.net/10468/5554
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartofIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2272/IE/Irish Centre for Fetal and Neonatal Translational Research (INFANT)/en
dc.rights© 2017, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectWiener filteren
dc.subjectPhase vocoderen
dc.subjectAccelerometersen
dc.subjectEstimationen
dc.subjectHeart rateen
dc.subjectViterbi algorithmen
dc.subjectSpectrum estimationen
dc.titlePPG-based heart rate estimation using Wiener filter, phase vocoder and Viterbi decodingen
dc.typeConference itemen
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