{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T06:23:21Z","timestamp":1763706201893,"version":"build-2065373602"},"reference-count":59,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T00:00:00Z","timestamp":1639699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The real-time artery diameter waveform assessment during cardio cycle can allow the measurement of beat-to-beat pressure change and the long-term blood pressure monitoring. The aim of this study is to develop a self-calibrated bio-impedance-based sensor, which can provide regular measurement of the blood-pressure-dependence time variable parameters such as the artery diameter waveform and the elasticity. This paper proposes an algorithm based on analytical models which need prior geometrical and physiological patient parameters for more appropriate electrode system selection and hence location to provide accurate blood pressure measurement. As a result of this study, the red cell orientation effect contribution was estimated and removed from the bio-impedance signal obtained from the artery to keep monitoring the diameter waveform correspondence to the change of blood pressure.<\/jats:p>","DOI":"10.3390\/s21248438","type":"journal-article","created":{"date-parts":[[2021,12,20]],"date-time":"2021-12-20T02:40:32Z","timestamp":1639968032000},"page":"8438","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Bio-Impedance Sensor for Real-Time Artery Diameter Waveform Assessment"],"prefix":"10.3390","volume":"21","author":[{"given":"Mugeb","family":"Al-harosh","sequence":"first","affiliation":[{"name":"Department of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9934-8343","authenticated-orcid":false,"given":"Marat","family":"Yangirov","sequence":"additional","affiliation":[{"name":"Department of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia"}]},{"given":"Dmitry","family":"Kolesnikov","sequence":"additional","affiliation":[{"name":"Department of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia"}]},{"given":"Sergey","family":"Shchukin","sequence":"additional","affiliation":[{"name":"Department of Medical and Technical Information Technology, Bauman Moscow State Technical University, 105005 Moscow, Russia"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2011","DOI":"10.1109\/TBME.2017.2714666","article-title":"Noninvasive Blood Pressure Estimation Using Ultrasound and Simple Finite Element Models","volume":"65","author":"Zakrzewski","year":"2018","journal-title":"IEEE Trans. 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