{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T20:46:06Z","timestamp":1793479566501,"version":"4.5.0"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Fleischhacker GmbH & Company KG"},{"DOI":"10.13039\/501100005713","name":"Klinikum Rechts der Isar, Technische Universit\u00e4t M\u00fcnchen","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005713","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005713","name":"Technische Universit\u00e4t M\u00fcnchen","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005713","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Transl. Eng. Health Med."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/jtehm.2022.3202749","type":"journal-article","created":{"date-parts":[[2022,8,29]],"date-time":"2022-08-29T16:44:52Z","timestamp":1661791492000},"page":"1-8","source":"Crossref","is-referenced-by-count":34,"title":["Heartbeat Classification by Random Forest With a Novel Context Feature: A Segment Label"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7076-0553","authenticated-orcid":false,"given":"Congyu","family":"Zou","sequence":"first","affiliation":[{"name":"Klinikum Rechts der Isar der, Technische Universität München, München, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Muller","sequence":"additional","affiliation":[{"name":"Klinikum Rechts der Isar der, Technische Universität München, München, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2871-4246","authenticated-orcid":false,"given":"Utschick","family":"Wolfgang","sequence":"additional","affiliation":[{"name":"Signal Processing Group, Technische Universität München, München, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5683-5889","authenticated-orcid":false,"given":"Daniel","family":"Ruckert","sequence":"additional","affiliation":[{"name":"Laboratory for AI in Medicine, Technische Universität München, München, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Phillip","family":"Muller","sequence":"additional","affiliation":[{"name":"Laboratory for AI in Medicine, Technische Universität München, München, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias","family":"Becker","sequence":"additional","affiliation":[{"name":"Fleischhacker GmbH & Company KG, Schwerte, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Steger","sequence":"additional","affiliation":[{"name":"Klinikum Rechts der Isar der, Technische Universität München, München, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5801-0901","authenticated-orcid":false,"given":"Eimo","family":"Martens","sequence":"additional","affiliation":[{"name":"Klinikum Rechts der Isar der, Technische Universität München, München, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Promoting Cardiovascular Health in the Developing World: A Critical Challenge to Achieve Global Health (EDS V Fuster, BB Kelly)","year":"2020"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-59745-408-7"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.08.007"},{"key":"ref4","first-page":"102","article-title":"Machine learning methods in electrocardiography classification","volume-title":"Proc. CEUR Workshop","volume":"2300","author":"Mykoliuk"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/e18080285"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.03.038"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2213253"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/a13040075"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2017.179-403"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.105948"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2012.2193408"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.02.005"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/03091902.2017.1394386"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/4108720"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106006"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICHI.2018.00092"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2871510"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683140"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3389\/fphy.2019.00103"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.827359"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/51.932724"},{"key":"ref22","first-page":"2012","article-title":"Testing and reporting performance results of cardiac rhythm and ST segment measurement algorithms ANSI\/AAMI EC57","volume-title":"American National Standards Institute","year":"2012"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1161\/01.cir.101.23.e215"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2017.065-469"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2017.360-239"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2020.236"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7319561"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/10.846677"},{"key":"ref29","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ioffe"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2942938"},{"issue":"10","key":"ref31","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"Pedregosa","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2016.07.010"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2020.063"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2020.112"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2020.044"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2020.107"}],"container-title":["IEEE Journal of Translational Engineering in Health and Medicine"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221039\/9652399\/09869872.pdf?arnumber=9869872","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T01:07:38Z","timestamp":1709341658000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9869872\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/jtehm.2022.3202749","relation":{},"ISSN":["2168-2372"],"issn-type":[{"value":"2168-2372","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}