{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T21:51:58Z","timestamp":1772661118627,"version":"3.50.1"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100010418","name":"Institute of Information and Communications Technology Planning and Evaluation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Korean Government [Ministry of Science and ICT (MSIT)]","award":["RS-2024-00357879"],"award-info":[{"award-number":["RS-2024-00357879"]}]},{"DOI":"10.13039\/501100003725","name":"K-Brain Project of the National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Korean Government","award":["RS-2023-00265393"],"award-info":[{"award-number":["RS-2023-00265393"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3667900","type":"journal-article","created":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T20:57:49Z","timestamp":1772053069000},"page":"31343-31357","source":"Crossref","is-referenced-by-count":0,"title":["Domain Transfer of Generative AI for Estimating Electrophysiological Changes Through Hemodynamic Variations in Optical Blood Flow: Potential and Performance Evaluation Methodology"],"prefix":"10.1109","volume":"14","author":[{"given":"Sanghoon","family":"Choi","sequence":"first","affiliation":[{"name":"Digital Therapeutics Research Center, Smart Healthcare Research Institute, Samsung Medical Center, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sungjun","family":"Hong","sequence":"additional","affiliation":[{"name":"Biomedical Engineering Research Center, Smart Healthcare Research Institute, Samsung Medical Center, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8046-6374","authenticated-orcid":false,"given":"Hyo-Chang","family":"Seo","sequence":"additional","affiliation":[{"name":"Digital Therapeutics Research Center, Smart Healthcare Research Institute, Samsung Medical Center, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Cardiovascular Diseases (CVDs): Key Facts","year":"2021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1093\/ehjopen\/oeac072"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1161\/circulationaha.106.180200"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/28\/3\/r01"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/acead2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2174\/157340312801215782"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11818-013-0617-x"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2441951"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2018.20"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/b978-0-12-823374-0.00015-3"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.14503\/thij-21-7564"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-49092-2"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16126"},{"key":"ref14","article-title":"CLEP-GAN: An innovative approach to ECG reconstruction from PPG signals","volume":"26","author":"Li","year":"2025","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00203"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i13.29422"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3626235"},{"key":"ref19","first-page":"2234","article-title":"Improved techniques for training GANs","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"29","author":"Salimans"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392457"},{"key":"ref21","article-title":"TTVOS: Lightweight video object segmentation with adaptive template attention module and temporal consistency loss","author":"Park","year":"2020","journal-title":"arXiv:2011.04445"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.hroo.2026.01.016"},{"key":"ref23","article-title":"Guiding masked representation learning to capture spatio-temporal relationship of electrocardiogram","author":"Na","year":"2024","journal-title":"arXiv:2402.09450"},{"key":"ref24","article-title":"Contrastive self-supervised learning based approach for patient similarity: A case study on atrial fibrillation detection from PPG signal","author":"Shanto","year":"2023","journal-title":"arXiv:2308.02433"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01411-5"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.35"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3758\/s13428-020-01516-y"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2011.941097"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.17148\/iarjset.2015.2305"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112652"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-023-10282-8"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1142\/s0218195995000064"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8856496"},{"key":"ref34","first-page":"27","article-title":"CapnoBase: Signal database and tools to collect, share and annotate respiratory signals","volume-title":"Proc. Annu. Meeting Soc. Technol. Anesth.","author":"Karlen"},{"key":"ref35","volume-title":"PPG-DALIA","author":"Reiss","year":"2019"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11411684.pdf?arnumber=11411684","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T20:51:42Z","timestamp":1772657502000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11411684\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3667900","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}