{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T11:19:38Z","timestamp":1784200778809,"version":"3.55.0"},"reference-count":30,"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-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["MOST 110-2622-E-224-006"],"award-info":[{"award-number":["MOST 110-2622-E-224-006"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["110-2221-E-150-045"],"award-info":[{"award-number":["110-2221-E-150-045"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["109-2221-E-150-043"],"award-info":[{"award-number":["109-2221-E-150-043"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013304","name":"Smart Machinery and Intelligent Manufacturing Research Center","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013304","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Higher Education SPROUT Project, National Formosa University"},{"name":"Ministry of Education (MOE) Female Researching Talent Cultivation Project for Science, Technology, Engineering, and Mathematics (STEM) field"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3178847","type":"journal-article","created":{"date-parts":[[2022,5,30]],"date-time":"2022-05-30T21:58:15Z","timestamp":1653947895000},"page":"57555-57564","source":"Crossref","is-referenced-by-count":11,"title":["Integration Design of Portable ECG Signal Acquisition With Deep-Learning Based Electrode Motion Artifact Removal on an Embedded System"],"prefix":"10.1109","volume":"10","author":[{"given":"Yu-Syuan","family":"Jhang","sequence":"first","affiliation":[{"name":"Department of Electronics Engineering, National Yunlin University of Science and Technology, Douliu, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Szu-Ting","family":"Wang","sequence":"additional","affiliation":[{"name":"Doctor&#x2019;s Program of Smart Industry Technology Research and Design, National Formosa University, Huwei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming-Hwa","family":"Sheu","sequence":"additional","affiliation":[{"name":"Department of Electronics Engineering, National Yunlin University of Science and Technology, Douliu, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3889-1764","authenticated-orcid":false,"given":"Szu-Hong","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electronics Engineering, National Yunlin University of Science and Technology, Douliu, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0011-3649","authenticated-orcid":false,"given":"Shin-Chi","family":"Lai","sequence":"additional","affiliation":[{"name":"Department of Automation Engineering, National Formosa University, Huwei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref30","first-page":"511","article-title":"Measurement of noise in ECG signals to improve automatic delineation","author":"galeotti","year":"2013","journal-title":"Proc Comput Cardiol"},{"key":"ref10","author":"haykin","year":"2005","journal-title":"Least-Mean-Square Adaptive Filters"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/NFSI-ICFBI.2007.4387719"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MECBME.2014.6783250"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CNSC.2014.6906684"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.irbm.2014.10.004"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IMCEC.2016.7867525"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMM.357-360.2267"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2005.12.003"},{"key":"ref18","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/1868519"},{"key":"ref4","first-page":"251","article-title":"Comparison of arrhythmia detection by 24-hour Holter and 14-day continuous electrocardiography patch monitoring","volume":"36","author":"chua","year":"2020","journal-title":"Acta Cardiol Sin"},{"key":"ref27","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"maas","year":"2013","journal-title":"Proc ICML Workshop Deep Learn Audio Speech Lang Process"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s20061796"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/info10020035"},{"key":"ref29","author":"moody","year":"2022","journal-title":"MIT-BIH Arrhythmia Database v1 0 0"},{"key":"ref5","first-page":"1","article-title":"An analysis of the effects of noisy electrocardiogram signal on heartbeat detection performance","volume":"7","author":"apandi","year":"2020","journal-title":"Bioengineering"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2011.2111453"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2006.260464"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/HealthCom.2014.7001883"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2013.07.009"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5574376"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1166\/jmihi.2015.1649"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.102225"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2912036"},{"key":"ref24","author":"moody","year":"2022","journal-title":"MIT-BIH Noise Stress Test Database V1 0 0"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"1306","DOI":"10.1161\/CIRCULATIONAHA.106.180200","article-title":"Recommendations for the standardization and interpretation of the electrocardiogram: Part I: The electrocardiogram and its technology: A scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society","volume":"115","author":"kligfield","year":"2007","journal-title":"Circulation"},{"key":"ref26","article-title":"MCUNetV2: Memory-efficient patch-based inference for tiny deep learning","author":"lin","year":"2021","journal-title":"arXiv 2110 15352"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09784947.pdf?arnumber=9784947","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T21:00:50Z","timestamp":1656363650000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9784947\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3178847","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}