{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T17:53:46Z","timestamp":1762624426561,"version":"3.28.0"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"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":[[2020,6]]},"DOI":"10.1109\/memea49120.2020.9137328","type":"proceedings-article","created":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T20:48:03Z","timestamp":1594414083000},"page":"1-6","source":"Crossref","is-referenced-by-count":5,"title":["A Hybrid Deep Model for Automatic Arrhythmia Classification based on LSTM Recurrent Networks"],"prefix":"10.1109","author":[{"given":"Adeleh","family":"Bitarafan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Afra","family":"Amini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahdieh Soleymani","family":"Baghshah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamidreza","family":"Khodajou-Chokami","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref38","first-page":"799","article-title":"Bidirectional LSTM networks for improved phoneme classification and recognition","author":"graves","year":"2005","journal-title":"International Conference on Artificial Neural Networks"},{"key":"ref33","first-page":"1","article-title":"The QRS complex detection using morphological filtering","volume":"5","author":"taouli","year":"2019","journal-title":"J of Biomedical Science and Engineering"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1007\/s13534-018-0087-y"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.1088\/1742-6596\/1002\/1\/012009"},{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1049\/iet-spr.2018.5230"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1109\/ICCSN.2019.8905308"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.1186\/s12938-018-0441-4"},{"key":"ref35","first-page":"121","article-title":"A convolutional neural network based approach to QRS detection","author":"\u0161arlija","year":"2017","journal-title":"IEEE International Symposium on Image and Signal Processing and Analysis"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1109\/TSP.2019.8768867"},{"key":"ref10","first-page":"159","article-title":"Utilization of an artificial neural network in the prediction of heart disease","volume":"5","author":"awang","year":"2013","journal-title":"International Journal of Bio-Science and Bio-Technology"},{"key":"ref40","first-page":"515","article-title":"CREI-GARD, a new concept in computerized arrhythmia monitoring systems","volume":"13","author":"nolle","year":"1986","journal-title":"Computers in Cardiology"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.5120\/20270-2679"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/SMC.2016.7844294"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1016\/j.ins.2017.04.012"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1007\/s10489-019-01461-0"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1155\/2019\/6320651"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/j.compbiomed.2018.09.009","article-title":"Arrhythmia detection using deep convolutional neural network with long duration ECG signals","volume":"102","author":"y?ld?r?m","year":"2018","journal-title":"Computers in Biology and Medicine"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1007\/s00521-018-3616-9"},{"key":"ref18","first-page":"1308","article-title":"Inter-and intra-patient ecg heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach","author":"mousavi","year":"2019","journal-title":"IEEE International Conference on Acoustics Speech and Signal Processing"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1016\/j.compbiomed.2018.12.012"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.3390\/s17091969"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1016\/j.eswa.2018.03.038"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1016\/j.compbiomed.2018.03.016"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1016\/j.compbiomed.2018.08.003"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1109\/ICCMC.2017.8282537"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1186\/s12938-017-0322-2"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1016\/j.measurement.2018.05.033"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/ACCESS.2018.2794346"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1016\/j.cmpb.2015.12.024"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1007\/978-81-322-2550-8_15"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/MOCAST.2016.7495143"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1007\/978-981-15-0790-8_32"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/CBMS.2019.00081"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"121","DOI":"10.3390\/electronics9010121","article-title":"An automatic diagnosis of arrhythmias using a combination of CNN and LSTM technology","volume":"9","author":"zhenyu","year":"2020","journal-title":"Electronics"},{"key":"ref21","article-title":"Arrhythmia detection from 2-lead ECG using convolutional denoising autoencoders","volume":"18","author":"ochiai","year":"2018","journal-title":"KDD"},{"doi-asserted-by":"publisher","key":"ref42","DOI":"10.1109\/51.932724"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1109\/ICACCI.2018.8554541"},{"key":"ref41","first-page":"227","article-title":"A new method for detecting atrial fibrillation using RR intervals","author":"moody","year":"1983","journal-title":"Computers in Cardiology"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1371\/journal.pone.0216756"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1016\/j.bspc.2019.101819"},{"key":"ref43","first-page":"21","article-title":"Gated residual networks with dilated convolutions for supervised speech separation","author":"tan","year":"2018","journal-title":"IEEE International Conference on Acoustics Speech and Signal Processing"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1371\/journal.pone.0226990"}],"event":{"name":"2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","start":{"date-parts":[[2020,6,1]]},"location":"Bari, Italy","end":{"date-parts":[[2020,7,1]]}},"container-title":["2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9132988\/9137109\/09137328.pdf?arnumber=9137328","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:52:43Z","timestamp":1656453163000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9137328\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/memea49120.2020.9137328","relation":{},"subject":[],"published":{"date-parts":[[2020,6]]}}}