{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T23:48:14Z","timestamp":1769557694550,"version":"3.49.0"},"reference-count":13,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,13]],"date-time":"2021-09-13T00:00:00Z","timestamp":1631491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,13]],"date-time":"2021-09-13T00:00:00Z","timestamp":1631491200000},"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":[[2021,9,13]]},"DOI":"10.23919\/cinc53138.2021.9662787","type":"proceedings-article","created":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T21:12:26Z","timestamp":1641849146000},"page":"1-4","source":"Crossref","is-referenced-by-count":9,"title":["Multi-Label Cardiac Abnormality Classification from Electrocardiogram Using Deep Convolutional Neural Networks"],"prefix":"10.23919","author":[{"given":"Nima L","family":"Wickramasinghe","sequence":"first","affiliation":[]},{"given":"Mohamed","family":"Athif","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-0386-x"},{"key":"ref11","first-page":"1","article-title":"Optimal Multi-Stage Arrhythmia Classification Approach","volume":"10","author":"zheng","year":"2020","journal-title":"Scientific Data"},{"key":"ref12","author":"ramachandran","year":"2017","journal-title":"Searching for Activation Function"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298664"},{"key":"ref4","author":"aurore","year":"2018","journal-title":"Computational techniques for ecg analysis and interpretation in light of their contribution to medical advances"},{"key":"ref3","first-page":"page 1","article-title":"Will Two Do? Varying Dimensions in Electrocardiography: the PhysioNet\/Computing in Cardiology Challenge 2021","volume":"48","author":"reyna","year":"2021","journal-title":"Computing in Cardiology"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1166\/jmihi.2018.2442"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-15432-4"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-0495-6"},{"key":"ref7","first-page":"317","article-title":"Nutzung der EKG-Signaldatenbank CARDIODAT der PTB über das Internet","volume":"40","author":"bousseljot","year":"1995","journal-title":"Biomedizinische Technik"},{"key":"ref2","first-page":"41","article-title":"Classification of 12-lead ECGs: the PhysioNet\/Computing in Cardiology Challenge 2020","author":"perez","year":"2020","journal-title":"Physiological Measurement"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"254e","DOI":"10.1161\/CIR.0000000000000950","article-title":"Heart Disease and Stroke Statistics - 2021 Update: a Report from the American Heart Association","volume":"143","author":"virani","year":"2021","journal-title":"Circulation"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.13026\/C2V88N"}],"event":{"name":"2021 Computing in Cardiology (CinC)","location":"Brno, Czech Republic","start":{"date-parts":[[2021,9,13]]},"end":{"date-parts":[[2021,9,15]]}},"container-title":["2021 Computing in Cardiology (CinC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9662654\/9662645\/09662787.pdf?arnumber=9662787","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,11]],"date-time":"2022-04-11T21:17:52Z","timestamp":1649711872000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9662787\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,13]]},"references-count":13,"URL":"https:\/\/doi.org\/10.23919\/cinc53138.2021.9662787","relation":{},"subject":[],"published":{"date-parts":[[2021,9,13]]}}}