A Snoring Classifier based on Heart Rate Variability Analysis

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Autor(es): dc.contributorUniv Macau-
Autor(es): dc.contributorTech Univ-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorIeong, Chio-In-
Autor(es): dc.creatorDong, Cheng-
Autor(es): dc.creatorNan, Wenya-
Autor(es): dc.creatorRosa, Agostinho-
Autor(es): dc.creatorGuimaraes, Ronaldo [UNESP]-
Autor(es): dc.creatorVai, Mang--
Autor(es): dc.creatorMak, Pui-In-
Autor(es): dc.creatorWan, Feng-
Autor(es): dc.creatorMak, Peng-Un-
Autor(es): dc.creatorMurray, A.-
Data de aceite: dc.date.accessioned2022-02-22T00:08:07Z-
Data de disponibilização: dc.date.available2022-02-22T00:08:07Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2011-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196002-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196002-
Descrição: dc.descriptionThe effect of snoring on the cardiovascular system is not well-known. In this study we analyzed the Heart Rate Variability (HRV) differences between light and heavy snorers. The experiments are done on the full-whole-night polysomnography (PSG) with ECG and audio channels from patient group (heavy snorer) and control group (light snorer), which are gender- and age-paired, totally 30 subjects. A feature Snoring Density (SND) of audio signal as classification criterion and HRV features are computed. Mann-Whitney statistical test and Support Vector Machine (SVM) classification are done to see the correlation. The result of this study shows that snoring has close impact on the HRV features. This result can provide a deeper insight into the physiological understand of snoring.-
Descrição: dc.descriptionScience and Technology Development Fund of Macau-
Descrição: dc.descriptionResearch Committee of University of Macau-
Descrição: dc.descriptionFCT-
Descrição: dc.descriptionUniv Macau, Fac Sci & Technol, Av Padre Tomas Pereira, Taipa, Macau, Peoples R China-
Descrição: dc.descriptionUniv Macau, Dept Elect & Comp Engn, Taipa, Macau, Peoples R China-
Descrição: dc.descriptionTech Univ, Evolut Syst & Biomed Engn Lab, Lisbon, Portugal-
Descrição: dc.descriptionUNESP, Dept Neurol, Botucatu, SP, Brazil-
Descrição: dc.descriptionUNESP, Dept Neurol, Botucatu, SP, Brazil-
Descrição: dc.descriptionScience and Technology Development Fund of Macau: 014/2007/A1-
Descrição: dc.descriptionScience and Technology Development Fund of Macau: 063/2009/A-
Descrição: dc.descriptionScience and Technology Development Fund of Macau: 024/2009/A1-
Descrição: dc.descriptionResearch Committee of University of Macau: UL006A/10-Y2/EEE/VMI/FST-
Descrição: dc.descriptionResearch Committee of University of Macau: UL006B/10-Y2/EEE/VMI/FST-
Descrição: dc.descriptionResearch Committee of University of Macau: UL012/09-Y1/EEE/VMI01/FST-
Descrição: dc.descriptionResearch Committee of University of Macau: RG077/09-10S/VMI/FST-
Descrição: dc.descriptionResearch Committee of University of Macau: RG072/09-10S/MPU/FST-
Descrição: dc.descriptionFCT: SFRH/BSAB/1101/2010-
Formato: dc.format345-348-
Idioma: dc.languageen-
Publicador: dc.publisherIeee-
Relação: dc.relation2011 Computing In Cardiology-
???dc.source???: dc.sourceWeb of Science-
Título: dc.titleA Snoring Classifier based on Heart Rate Variability Analysis-
Aparece nas coleções:Repositório Institucional - Unesp

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