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dc.contributor.authorÁlvarez-Estévez, Diego
dc.contributor.authorMoret-Bonillo, Vicente
dc.date.accessioned2017-02-14T16:34:25Z
dc.date.issued2016-04-01
dc.identifier.citationDiego Alvarez-Esteveza, Vicente Moret-Bonillo Spectral, Heart Rate Variability analysis using the heart timing signal for the screening of the Sleep Apnea–Hypopnea Syndrome, Computers in Biology and Medicine, 71 (2016), pp. 14–23es_ES
dc.identifier.issn0010-4825
dc.identifier.issn1879-0534
dc.identifier.urihttp://hdl.handle.net/2183/18110
dc.descriptionThe final publication is available http://dx.doi.org/10.1016/j.compbiomed.2016.01.023es_ES
dc.description.abstract[Abstract] Some approaches have been published in the past using Heart Rate Variability (HRV) spectral features for the screening of Sleep Apnea–Hypopnea Syndrome (SAHS) patients. However there is a big variability among these methods regarding the selection of the source signal and the specific spectral components relevant to the analysis. In this study we investigate the use of the Heart Timing (HT) as the source signal in comparison to the classical approaches of Heart Rate (HR) and Heart Period (HP). This signal has the theoretical advantage of being optimal under the Integral Pulse Frequency Modulation (IPFM) model assumption. Only spectral bands defined as standard for the study of HRV are considered, and for each method the so-called LF/HF and VLFn features are derived. A comparative statistical analysis between the different resulting methods is performed, and subject classification is investigated by means of ROC analysis and a Naïve-Bayes classifier. The standard Apnea-ECG database is used for validation purposes. Our results show statistical differences between SAHS patients and controls for all the derived features. In the subject classification task the best performance in the testing set was obtained using the LF/HF ratio derived from the HR signal (Area under ROC curve=0.88). Only slight differences are obtained due to the effect of changing the source signal. The impact of using the HT signal in this domain is therefore limited, and has not shown relevant differences with respect to the use of the classical approaches of HR or HP.es_ES
dc.description.sponsorshipXunta de Galicia; CN2011/007es_ES
dc.description.sponsorshipMinisterio de Economía y Competitividad; TIN2013-40686-Pes_ES
dc.description.sponsorshipXunta de Galicia; CN2012/211
dc.language.isoenges_ES
dc.publisherPergamon Presses_ES
dc.relation.urihttp://www.sciencedirect.com/science/article/pii/S0010482516300130es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectHeart Rate Variabilityes_ES
dc.subjectHeart timing signales_ES
dc.subjectIPFM modeles_ES
dc.subjectSpectral analysises_ES
dc.subjectSleep Apnea–Hypopnea Syndromees_ES
dc.titleSpectral Heart Rate Variability analysis using the heart timing signal for the screening of the Sleep Apnea–Hypopnea Syndromees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/embargoedAccesses_ES
dc.date.embargoEndDate2017-04-01es_ES
dc.date.embargoLift2017-04-01
UDC.journalTitleComputers in Biology and Medicinees_ES
UDC.volume71es_ES
UDC.startPage14es_ES
UDC.endPage23es_ES
dc.identifier.doi10.1016/j.compbiomed.2016.01.023


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