{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T00:49:57Z","timestamp":1778201397797,"version":"3.51.4"},"reference-count":31,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2015,10,27]],"date-time":"2015-10-27T00:00:00Z","timestamp":1445904000000},"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>Pulse transit time (PTT) is an important physiological parameter that directly correlates with the elasticity and compliance of vascular walls and variations in blood pressure. This paper presents a PTT estimation method based on photoplethysmographic imaging (PPGi). The method utilizes two opposing cameras for simultaneous acquisition of PPGi waveform signals from the index fingertip and the forehead temple. An algorithm for the detection of maxima and minima in PPGi signals was developed, which includes technology for interpolation of the real positions of these points. We compared our PTT measurements with those obtained from the current methodological standards. Statistical results indicate that the PTT measured by our proposed method exhibits a good correlation with the established method. The proposed method is especially suitable for implementation in dual-camera-smartphones, which could facilitate PTT measurement among populations affected by cardiac complications.<\/jats:p>","DOI":"10.3390\/s151027303","type":"journal-article","created":{"date-parts":[[2015,10,27]],"date-time":"2015-10-27T17:23:21Z","timestamp":1445966601000},"page":"27303-27321","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Toward a Smartphone Application for Estimation of Pulse Transit Time"],"prefix":"10.3390","volume":"15","author":[{"given":"He","family":"Liu","sequence":"first","affiliation":[{"name":"The Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China"},{"name":"The Biomedical Engineering Department, Harbin Institute of Technology, Harbin150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1038-4277","authenticated-orcid":false,"given":"Kamen","family":"Ivanov","sequence":"additional","affiliation":[{"name":"The Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yadong","family":"Wang","sequence":"additional","affiliation":[{"name":"The Biomedical Engineering Department, Harbin Institute of Technology, Harbin150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7033-9806","authenticated-orcid":false,"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"The Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2015,10,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"065701","DOI":"10.1088\/0957-0233\/25\/6\/065701","article-title":"Non-invasive technique for assessment of vascular wall stiffness using laser doppler vibrometry","volume":"25","author":"Campo","year":"2014","journal-title":"Meas. 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