{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T17:04:41Z","timestamp":1784307881967,"version":"3.55.0"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004895","name":"European Social Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004895","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1109\/iscas51556.2021.9401261","type":"proceedings-article","created":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T21:33:36Z","timestamp":1619559216000},"page":"1-5","source":"Crossref","is-referenced-by-count":7,"title":["ELC-ECG: Efficient LSTM Cell for ECG Classification Based on Quantized Architecture"],"prefix":"10.1109","author":[{"given":"Seyed Ahmad","family":"Mirsalari","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Najmeh","family":"Nazari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seyed Ali","family":"Ansarmohammadi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sima","family":"Sinaei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mostafa E.","family":"Salehi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masoud","family":"Daneshtalab","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","first-page":"s 317","article-title":"A. Nutzung der EKG-Signaldatenbank CARDIODAT der PTB &#x00FC;ber das Internet","volume":"1","author":"bousseljot","year":"1995","journal-title":"Biomedizinische Technik Band 40 Erg&#x00E4;nzungsband"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/FCCM.2018.00018"},{"key":"ref31","first-page":"525","article-title":"Xnor-net: Imagenet classification using binary convolutional neural networks","author":"rastegari","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IPIN.2016.7743581"},{"key":"ref37","article-title":"Vivado","year":"2017"},{"key":"ref36","article-title":"Keras","author":"chollet","year":"2015"},{"key":"ref35","year":"0"},{"key":"ref34","year":"0"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCMC48092.2020.ICCMC-000192"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICA.2019.8916683"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.2984493"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2019.272"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3287624.3287628"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2019.2911739"},{"key":"ref17","article-title":"Binary Neural Networks","author":"nazari","year":"2020","journal-title":"Hardware Architectures for Deep Learning The Institution of Engineering and Technology"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/DSD.2019.00052"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/PDP50117.2020.00033"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.21203\/rs.3.rs-41077\/v1","article-title":"Mobile Device ECG Classification using quantized Neural Networks","author":"moura","year":"2020"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2019.101789"},{"key":"ref27","article-title":"Dorefa-net: Training low bitwidth convolutional neural networks with low bitwidth gradients","author":"zhou","year":"2016"},{"key":"ref3","first-page":"1","article-title":"Usage of data mining techniques in predicting the heart diseases&#x2014;Na&#x00EF;ve Bayes & decision tree","author":"priyanka","year":"2017","journal-title":"International Conference on Circuit Power and Computing Technologies (ICCPCT)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/a12060118"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1192"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.105138"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.02.016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2896308"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.12.001"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-65105-x"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2671443"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS45731.2020.9180634"},{"key":"ref22","article-title":"Classification of 12-lead ECG signals with Bi-directional LSTM network","author":"mostayed","year":"2018"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2017.066-138"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.06.002"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8512752"},{"key":"ref26","article-title":"Quantized neural networks: Training neural networks with low precision weights and activations","author":"hubara","year":"2016"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.103800"}],"event":{"name":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)","location":"Daegu, Korea","start":{"date-parts":[[2021,5,22]]},"end":{"date-parts":[[2021,5,28]]}},"container-title":["2021 IEEE International Symposium on Circuits and Systems (ISCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9401028\/9401051\/09401261.pdf?arnumber=9401261","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:44:15Z","timestamp":1652197455000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9401261\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/iscas51556.2021.9401261","relation":{},"subject":[],"published":{"date-parts":[[2021,5]]}}}