Respiratory rate monitoring using infrared sensors

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage1140en_US
dc.citation.spage1136en_US
dc.contributor.authorErden, Fatihen_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialBursa, Turkeyen_US
dc.date.accessioned2018-04-12T11:50:03Z
dc.date.available2018-04-12T11:50:03Z
dc.date.issued2016en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 26-28 November 2015en_US
dc.descriptionConference Name: 9th International Conference on Electrical and Electronics Engineering, ELECO 2015en_US
dc.description.abstractRespiratory rate is an essential parameter in many practical applications such as patient and elderly people monitoring. In this paper, a novel contact-free system is introduced to detect the human breathing activity. The system, which consists of two pyro-electric infrared (PIR) sensors, is capable of estimating the respiratory rate and detecting the sleep apnea. Sensors' signals corresponding to the thoracic movements of a human being are sampled using a microprocessor and analyzed on a general-purpose computer. Sampled signals are processed using empirical mode decomposition (EMD) and a new average magnitude difference function (AMDF) is used to detect the periodicity and the period of the processed signals. The resulting period, by using the fact that breathing is almost a periodic activity, is monitored as the respiratory rate. The new AMDF provides a way to fuse the data from the multiple sensors and generate a more reliable estimation of the respiratory rate.en_US
dc.description.provenanceMade available in DSpace on 2018-04-12T11:50:03Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2016en
dc.identifier.doi10.1109/ELECO.2015.7394631en_US
dc.identifier.urihttp://hdl.handle.net/11693/37749
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ELECO.2015.7394631en_US
dc.source.titleProceedings of the 9th International Conference on Electrical and Electronics Engineering, ELECO 2015en_US
dc.subjectGeneral purpose computersen_US
dc.subjectInfrared detectorsen_US
dc.subjectSignal processingen_US
dc.subjectAverage magnitude difference functionen_US
dc.subjectElderly peopleen_US
dc.subjectEmpirical mode decompositionen_US
dc.subjectHuman breathingen_US
dc.subjectInfra-red sensoren_US
dc.subjectMultiple sensorsen_US
dc.subjectPeriodic activityen_US
dc.subjectRespiratory rateen_US
dc.subjectSignal detectionen_US
dc.titleRespiratory rate monitoring using infrared sensorsen_US
dc.typeConference Paperen_US

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