{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T08:25:22Z","timestamp":1774945522531,"version":"3.50.1"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Open Access funding from the Qatar National Library"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3077358","type":"journal-article","created":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T20:58:43Z","timestamp":1620161923000},"page":"68498-68510","source":"Crossref","is-referenced-by-count":13,"title":["Automatic and Intelligent Stressor Identification Based on Photoplethysmography Analysis"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7562-530X","authenticated-orcid":false,"given":"Sami","family":"Elzeiny","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0767-2478","authenticated-orcid":false,"given":"Marwa","family":"Qaraqe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","first-page":"1","article-title":"Performance analysis of machine learning techniques for classification of stress levels using PPG signals","author":"awasthi","year":"2020","journal-title":"Proc IEEE Int Conf Electron Comput Commun Technol (CONECCT)"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CCCS.2019.8888131"},{"key":"ref31","article-title":"The effect of person-specific biometrics in improving generic stress predictive models","author":"nkurikiyeyezu","year":"2019","journal-title":"arXiv 1910 01770"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1080\/03772063.2020.1844068"},{"key":"ref35","article-title":"Personalized stress detection from physiological measurements","author":"shi","year":"2010","journal-title":"Proc 2nd Int Symp Qual Life Technol"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2015.7284844"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1348\/014466505X29657"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1159\/000119004"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.psyneuen.2014.03.022"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0113618"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.psyneuen.2018.03.010"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.54.6.1063"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2017.08.006"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8857081"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2013.07.024"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1080\/03091902.2019.1640306"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/11538059_91"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/s19204408"},{"key":"ref27","year":"2020","journal-title":"GridSearchCV—Scikit-Learn 0 23 2 Documentation Scikit-Learn"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s20051340"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICIRCA48905.2020.9183244"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-6226-1"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3242969.3242985"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2014.2386796"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.echo.2019.07.021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s10877-017-0030-2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1207\/s15327752jpa6703_13"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.15406\/ijbsbe.2018.04.00125"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/6385281"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/s18124237"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/72.554195"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99740-7_12"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref26","article-title":"CNN-based segmentation of medical imaging data","author":"kayalibay","year":"2017","journal-title":"arXiv 1701 03056"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2017.06.037"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09422700.pdf?arnumber=9422700","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:56Z","timestamp":1639770956000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9422700\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3077358","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}