{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T05:23:56Z","timestamp":1754112236438,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,6]],"date-time":"2021-07-06T00:00:00Z","timestamp":1625529600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,6]],"date-time":"2021-07-06T00:00:00Z","timestamp":1625529600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,6]],"date-time":"2021-07-06T00:00:00Z","timestamp":1625529600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,6]]},"DOI":"10.1109\/icccnt51525.2021.9579535","type":"proceedings-article","created":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T15:29:48Z","timestamp":1635953388000},"page":"1-7","source":"Crossref","is-referenced-by-count":6,"title":["Non-invasive Machine Learning approach for classifying Blood Pressure using PPG Signals in COVID situation"],"prefix":"10.1109","author":[{"given":"B","family":"Durga Siva Praveen","sequence":"first","affiliation":[]},{"given":"D.V.N.","family":"Sandeep","sequence":"additional","affiliation":[]},{"given":"I.V.V.","family":"Raghavendra","sequence":"additional","affiliation":[]},{"given":"M.","family":"Yuvaraj","sequence":"additional","affiliation":[]},{"given":"S","family":"Sarath","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/1548647"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2011.05.001"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7592189"},{"year":"2017","author":"liang","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.7.003007"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/a5040588"},{"journal-title":"World Health Statistics 2015","year":"2015","author":"organization","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1161\/HYPERTENSIONAHA.107.095497"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-60327-372-5"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.irbm.2014.07.002"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3055635.3056634"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-11507-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2012.6346372"},{"key":"ref5","first-page":"689","article-title":"Photoplethysmography-based device designing for cardiovascular system diagnostics","volume":"9","author":"botman","year":"2015","journal-title":"World Acad Sci Eng Technol Int J Med Health Biomed Bioeng Pharm Eng"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.08.022"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.17485\/ijst\/2017\/v10i5\/108778"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7319687"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7590814"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.hipert.2016.06.004"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-016-0558-6"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/electronics3020282"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/28\/3\/R01"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCI.2018.8554599"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TENSYMP50017.2020.9230743"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSP48568.2020.9182148"},{"key":"ref25","first-page":"498","article-title":"A Deep-Learning Approach to Find Respiratory Syndromes in Infants using Thermal Imaging Navaneeth","author":"s","year":"2020","journal-title":"Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing ICCSP 2020"}],"event":{"name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","start":{"date-parts":[[2021,7,6]]},"location":"Kharagpur, India","end":{"date-parts":[[2021,7,8]]}},"container-title":["2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9579467\/9579470\/09579535.pdf?arnumber=9579535","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:56:00Z","timestamp":1652187360000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9579535\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,6]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icccnt51525.2021.9579535","relation":{},"subject":[],"published":{"date-parts":[[2021,7,6]]}}}