{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T16:29:15Z","timestamp":1772555355924,"version":"3.50.1"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T00:00:00Z","timestamp":1629676800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T00:00:00Z","timestamp":1629676800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100010619","name":"University of Ottawa Heart Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010619","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,23]]},"DOI":"10.23919\/eusipco54536.2021.9616351","type":"proceedings-article","created":{"date-parts":[[2021,12,8]],"date-time":"2021-12-08T21:55:53Z","timestamp":1639000553000},"page":"1256-1260","source":"Crossref","is-referenced-by-count":14,"title":["Deep Learning based non-invasive diabetes predictor using Photoplethysmography signals"],"prefix":"10.23919","author":[{"given":"Venkatesh Bharadwaj","family":"Srinivasan","sequence":"first","affiliation":[]},{"given":"Foroohar","family":"Foroozan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","author":"camm","year":"1996","journal-title":"Heart rate variability standards of measurement physiological interpretation and clinical use task force of the european society of cardiology and the north american society of pacing and electrophysiology"},{"key":"ref30","first-page":"617","article-title":"Coronary pressure notch: an early non-hyperemic visual indicator of the physiologic significance of a coronary artery stenosis","volume":"16","author":"holmes","year":"2004","journal-title":"The Journal of Invasive Cardiology"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s12020-009-9221-z"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2018.09.007"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2016.2554661"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-21642-9_41"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2018.20"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.5220\/0006297205530560"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.07.255"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23730"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462286"},{"key":"ref28","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1117\/1.3600769"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/s19040935"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-019-0136-7"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.2478\/v10048-012-0036-3"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/28\/3\/R01"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/B978-012369391-4\/50060-6"},{"key":"ref7","article-title":"Endothelial dysfunction evaluated using photoplethysmography in patients with type 2 diabetes","author":"lilia","year":"2015","journal-title":"Journal of Cardiovascular Diseases & Diagnosis"},{"key":"ref2","first-page":"195","article-title":"A review on wearable photoplethysmography sensors and their potential future applications in health care","volume":"4","author":"castaneda","year":"2018","journal-title":"J Biosensors Bioelectronics"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.2337\/diacare.25.3.471"},{"key":"ref1","year":"0","journal-title":"Diabetes overview"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-56927-5"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/sdata.2016.35","article-title":"Mimic-iii, a freely accessible critical care database","volume":"3","author":"johnson","year":"2016","journal-title":"Scientific Data"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-020-1010-5"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecl.2006.09.006"},{"key":"ref23","author":"moody","year":"2020","journal-title":"Mimic-iii waveform database matched subset (version 1 0)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/bios8040101"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/BIBE.2014.77"}],"event":{"name":"2021 29th European Signal Processing Conference (EUSIPCO)","location":"Dublin, Ireland","start":{"date-parts":[[2021,8,23]]},"end":{"date-parts":[[2021,8,27]]}},"container-title":["2021 29th European Signal Processing Conference (EUSIPCO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9615915\/9615917\/09616351.pdf?arnumber=9616351","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,21]],"date-time":"2022-03-21T20:57:19Z","timestamp":1647896239000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9616351\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,23]]},"references-count":31,"URL":"https:\/\/doi.org\/10.23919\/eusipco54536.2021.9616351","relation":{},"subject":[],"published":{"date-parts":[[2021,8,23]]}}}