{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,18]],"date-time":"2025-01-18T05:07:33Z","timestamp":1737176853893,"version":"3.33.0"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,15]]},"DOI":"10.1109\/bigdata62323.2024.10825678","type":"proceedings-article","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T18:31:23Z","timestamp":1737052283000},"page":"1834-1843","source":"Crossref","is-referenced-by-count":0,"title":["Efficient Arrhythmia Detection Using Progressive Resolution Shrinking"],"prefix":"10.1109","author":[{"given":"Tavonput","family":"Luangphasy","sequence":"first","affiliation":[{"name":"Washington State University Vancouver,School of Engineering and Computer Science"}]},{"given":"Xinghui","family":"Zhao","sequence":"additional","affiliation":[{"name":"Washington State University Vancouver,School of Engineering and Computer Science"}]}],"member":"263","reference":[{"issue":"8","key":"ref1","first-page":"e254","article-title":"Heart disease and stroke statistics update","volume":"143","author":"Virani","year":"2021","journal-title":"Circulation"},{"key":"ref2","article-title":"Arrhythmia"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1161\/hhf.0b013e318291329a"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CCAA.2017.8230003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2988059"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TENSYMP50017.2020.9231005"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICHI54592.2022.00057"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3066347"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICSPCS50536.2020.9310052"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/BDCAT50828.2020.00022"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1161\/hhf.0b013e318291329a"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipej.2016.07.003"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-0736(99)90033-X"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cnc.2016.04.009"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jelectrocard.2014.12.005"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1136\/heartjnl-2017-311198"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2017.03.571"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM52615.2021.9669776"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CAIS.2018.8441942"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-021-10533-7"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CAIS.2018.8441942"},{"issue":"2","key":"ref22","first-page":"179","article-title":"Classification of the electrocardiogram signals using supervised classifiers and efficient features","volume-title":"Computer Methods and Programs in Biomedicine","volume":"99","author":"Zadeh","year":"2010"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3297711"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s00034-015-0068-7"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(04)00276-6"},{"key":"ref26","article-title":"Cardiologist-level arrhythmia detection with convolutional neural networks","volume-title":"CoRR","author":"Rajpurkar","year":"2017"},{"key":"ref27","first-page":"952","article-title":"Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network","volume-title":"Future Generation Computer Systems","volume":"79","author":"Acharya","year":"2018"},{"key":"ref28","article-title":"A comparison of 1-d and 2-d deep convolutional neural networks in ECG classification","volume-title":"CoRR","author":"Wu","year":"2018"},{"key":"ref29","article-title":"ECG arrhythmia classification using a 2-d convolutional neural network","volume-title":"CoRR","author":"Jun","year":"2018"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2015","author":"Simonyan","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3102980.3102998"},{"article-title":"The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox","volume-title":"CIDR 2015, Seventh Biennial Conference on Innovative Data Systems Research","author":"Crankshaw","key":"ref32"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.13140\/RG.2.2.18893.74727"},{"key":"ref34","article-title":"Massively Parallel Methods for Deep Reinforcement Learning","author":"Nair","year":"2015","journal-title":"CoRR"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2010.2047865"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2009.5333610"},{"volume-title":"Cardiology Explained","year":"2004","author":"Ashley","key":"ref37"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1161\/01.CTR.101.23.e215"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3097614"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-59311-0"},{"article-title":"Sgdr: Stochastic gradient descent with warm restarts","year":"2016","author":"Loshchilov","key":"ref41"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"}],"event":{"name":"2024 IEEE International Conference on Big Data (BigData)","start":{"date-parts":[[2024,12,15]]},"location":"Washington, DC, USA","end":{"date-parts":[[2024,12,18]]}},"container-title":["2024 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10824975\/10824942\/10825678.pdf?arnumber=10825678","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T07:48:12Z","timestamp":1737100092000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10825678\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,15]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/bigdata62323.2024.10825678","relation":{},"subject":[],"published":{"date-parts":[[2024,12,15]]}}}