Towards wearable blood pressure measurement systems from biosignals: a review

Basit Öğe Kaydı
dc.authorid
dc.contributor.authorŞentürk, Ümit
dc.contributor.authorPolat, Kemal
dc.contributor.authorYücedağ, İbrahim
dc.date.accessioned2021-12-01T18:22:38Z
dc.date.available2021-12-01T18:22:38Z
dc.date.issued2019
dc.department[Belirlenecek]en_US
dc.description.abstractBlood pressure is the pressure by the blood to the vein wall. High blood pressure, which is called silent death, isthe cause of nearly 13% of mortality all over the world. Blood pressure is not only measured in the medical environment,but the blood pressure measurement is also a need for people in their daily life. Blood pressure estimation systemswith low error rates have been developed besides the new technologies and algorithms. Blood pressure measurementsare differentiated as invasive blood pressure (IBP) measurement and noninvasive blood pressure (NIBP) measurementmethods. Although IBP measurement provides the most accurate results, it cannot be used in daily life because itcan only be performed by qualified medical staff with specialized medical equipment. NIBP measurement is based onmeasuring physiological signals taken from the body and producing results with decision mechanisms. Oscillometric,pulse transit time (PTT), pulse wave velocity, and feature extraction methods are mentioned in the literature as NIBP.In the oscillometric method of the sphygmomanometer, an electrocardiogram is used in PTT methods as a result of thecomparison of signals such as electrocardiography, photoplethysmography, ballistocardiography, and seismocardiography.The increase in the human population and worldwide deaths due to the highly elevated blood pressure makes the needfor precise measurements and technological devices more clear. Today, wearable technologies and sensors have beenfrequently used in the health sector. In this review article, the invasive and noninvasive blood pressure methods,including various biosignals, have been investigated and then compared with each other concerning the measurement ofcomfort and robust estimation.en_US
dc.identifier.doi10.3906/elk-1812-121
dc.identifier.endpage3281en_US
dc.identifier.issn1300-0632
dc.identifier.issn1300-0632
dc.identifier.issue5en_US
dc.identifier.startpage3259en_US
dc.identifier.urihttps://doi.org/10.3906/elk-1812-121
dc.identifier.urihttps://app.trdizin.gov.tr/makale/TXpNM05EQXlNZz09
dc.identifier.urihttps://hdl.handle.net/20.500.12684/9529
dc.identifier.volume27en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciencesen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBilgisayar Bilimleri, Yapay Zekaen_US
dc.subjectBilgisayar Bilimleri, Sibernitiken_US
dc.subjectBilgisayar Bilimleri, Donanım ve Mimarien_US
dc.subjectBilgisayar Bilimleri, Bilgi Sistemlerien_US
dc.subjectBilgisayar Bilimleri, Yazılım Mühendisliğien_US
dc.subjectBilgisayar Bilimleri, Teori ve Metotlaren_US
dc.subjectMühendislik, Elektrik ve Elektroniken_US
dc.titleTowards wearable blood pressure measurement systems from biosignals: a reviewen_US
dc.typeArticleen_US

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