Breathing detection based on the topological features of IR sensor and accelerometer signals

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage1767en_US
dc.citation.spage1763en_US
dc.contributor.authorErden, Fatihen_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialPacific Grove, CA, USAen_US
dc.date.accessioned2018-04-12T11:46:29Z
dc.date.available2018-04-12T11:46:29Z
dc.date.issued2017en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 6-9 November 2016en_US
dc.descriptionConference Name: 50th Asilomar Conference on Signals, Systems and Computers, IEEE 2016en_US
dc.description.abstractThis paper describes a non-contact breathing detection system using a pyro-electric infrared (PIR) sensor and an accelerometer. The multi-sensor system can be used to detect the respiratory disorders. A PIR sensor is placed onto a stand near a bed and an accelerometer is placed on the mattress. We recently developed a PIR sensor which is capable of producing 1-D time-varying signals corresponding to the motions in its field of view. The PIR sensor signal due to the thoracic movements turns out to be an almost periodic signal. Similarly, the accelerometer produces an almost periodic signal in response to vibrations in bed. Sensor signals are processed using a topological approach. Point clouds are constructed from the delay-coordinate embedding of the time series sensor data first. Then, periodic structures in the point clouds are detected using persistent homology. The sensors, with the proposed method, complement each other to produce more accurate decisions in different lying positions.en_US
dc.identifier.doi10.1109/ACSSC.2016.7869685en_US
dc.identifier.issn1058-6393en_US
dc.identifier.urihttp://hdl.handle.net/11693/37640
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ACSSC.2016.7869685en_US
dc.source.titleProceedings of the 50th Asilomar Conference on Signals, Systems and Computers, IEEE 2016en_US
dc.subjectAccelerometersen_US
dc.subjectTopologyen_US
dc.subjectAccelerometer signalsen_US
dc.subjectDelay coordinate embeddingen_US
dc.subjectMulti-sensor systemsen_US
dc.subjectRespiratory disordersen_US
dc.subjectResponse to vibrationen_US
dc.subjectTime varying signalen_US
dc.subjectTopological approachen_US
dc.subjectTopological featuresen_US
dc.subjectPeriodic structuresen_US
dc.titleBreathing detection based on the topological features of IR sensor and accelerometer signalsen_US
dc.typeConference Paperen_US
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