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dc.contributor.authorBal, Ufuk
dc.date.accessioned2020-11-20T16:17:38Z
dc.date.available2020-11-20T16:17:38Z
dc.date.issued2015
dc.identifier.issn2156-7085
dc.identifier.urihttps://doi.org/10.1364/BOE.6.000086
dc.identifier.urihttps://hdl.handle.net/20.500.12809/3283
dc.description0000-0003-0345-6989en_US
dc.descriptionWOS: 000347474800009en_US
dc.descriptionPubMed ID: 25657877en_US
dc.description.abstractWe propose a robust method for automated computation of heart rate (HR) from digital color video recordings of the human face. In order to extract photoplethysmographic signals, two orthogonal vectors of RGB color space are used. We used a dual tree complex wavelet transform based denoising algorithm to reduce artifacts (e. g. artificial lighting, movement, etc.). Most of the previous work on skin color based HR estimation performed experiments with healthy volunteers and focused to solve motion artifacts. In addition to healthy volunteers we performed experiments with child patients in pediatric intensive care units. In order to investigate the possible factors that affect the non-contact HR monitoring in a clinical environment, we studied the relation between hemoglobin levels and HR estimation errors. Low hemoglobin causes underestimation of HR. Nevertheless, we conclude that our method can provide acceptable accuracy to estimate mean HR of patients in a clinical environment, where the measurements can be performed remotely. In addition to mean heart rate estimation, we performed experiments to estimate oxygen saturation. We observed strong correlations between our SpO2 estimations and the commercial oximeter readings (C) 2014 Optical Society of Americaen_US
dc.description.sponsorshipScientific Research Projects Coordination Unit of Mugla Sitki Kocman UniversityMugla Sitki Kocman University [13/108]en_US
dc.description.sponsorshipThis study was supported by Scientific Research Projects Coordination Unit of Mugla Sitki Kocman University, project number 13/108. The author wishes to thank Dr. Alkan Bal for his comments and help in conducting the PICU experiments.en_US
dc.item-language.isoengen_US
dc.publisherOptical Soc Ameren_US
dc.item-rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHeart rateen_US
dc.titleNon-contact estimation of heart rate and oxygen saturation using ambient lighten_US
dc.item-typearticleen_US
dc.contributor.departmentMÜ,Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.contributor.institutionauthorBal, Ufuk
dc.identifier.doi10.1364/BOE.6.000086
dc.identifier.volume6en_US
dc.identifier.issue1en_US
dc.identifier.startpage86en_US
dc.identifier.endpage97en_US
dc.relation.journalBiomedical Optics Expressen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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