{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T20:38:24Z","timestamp":1775767104133,"version":"3.50.1"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007225","name":"Ministry of Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007225","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,1]]},"DOI":"10.1109\/embc46164.2021.9630899","type":"proceedings-article","created":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T21:24:16Z","timestamp":1639085056000},"page":"88-91","source":"Crossref","is-referenced-by-count":9,"title":["ECG-based Biometric Recognition without QRS Segmentation: A Deep Learning-Based Approach"],"prefix":"10.1109","author":[{"given":"Jui-Kun","family":"Chiu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chun-Shun","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shun-Chi","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3004362"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1155\/2008\/491382"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.04.015"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2007.909996"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.1985.325532"},{"key":"ref15","first-page":"1","article-title":"Spatiotemporal features of electrocardiogram for biometric recognition","author":"wu","year":"2018","journal-title":"Multidimensional Systems and Signal Processing"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.03.028"},{"key":"ref17","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":"ref18","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref19","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2464772"},{"key":"ref3","first-page":"1","article-title":"Counterfeit iris detection based on texture analysis","author":"wei","year":"2008","journal-title":"International Conference on Pattern Recognition"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2015.2503863"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2012.2215324"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.01.019"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/s17020410"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-92627-8_6"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/s18124215"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3004464"},{"key":"ref20","author":"phan","year":"2016","journal-title":"Robust audio event recognition with 1-max pooling convolutional neural networks"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-7563-6_53"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2008.76"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"Physiobank, physiotoolkit, and physionet: Components of a new research resource for complex physiologic signals","volume":"101","author":"goldberger","year":"2000","journal-title":"Circulation"}],"event":{"name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","location":"Mexico","start":{"date-parts":[[2021,11,1]]},"end":{"date-parts":[[2021,11,5]]}},"container-title":["2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9629355\/9629471\/09630899.pdf?arnumber=9630899","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:54:10Z","timestamp":1652201650000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9630899\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,1]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/embc46164.2021.9630899","relation":{},"subject":[],"published":{"date-parts":[[2021,11,1]]}}}