{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T15:05:13Z","timestamp":1781708713456,"version":"3.54.5"},"reference-count":90,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100020950","name":"National Science and Technology Council, Taiwan","doi-asserted-by":"publisher","award":["111-2221-E-001-016-MY3"],"award-info":[{"award-number":["111-2221-E-001-016-MY3"]}],"id":[{"id":"10.13039\/501100020950","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001869","name":"Academia Sinica","doi-asserted-by":"publisher","award":["AS-GC-111-M01"],"award-info":[{"award-number":["AS-GC-111-M01"]}],"id":[{"id":"10.13039\/501100001869","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Consumer Electron."],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1109\/tce.2023.3237715","type":"journal-article","created":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T18:34:28Z","timestamp":1673980468000},"page":"250-260","source":"Crossref","is-referenced-by-count":49,"title":["SRECG: ECG Signal Super-Resolution Framework for Portable\/Wearable Devices in Cardiac Arrhythmias Classification"],"prefix":"10.1109","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1143-0677","authenticated-orcid":false,"given":"Tsai-Min","family":"Chen","sequence":"first","affiliation":[{"name":"Graduate Program of Data Science, National Taiwan University and Academia Sinica, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan-Hong","family":"Tsai","sequence":"additional","affiliation":[{"name":"Program of Taiwan AI Academy, Taiwan Artificial Intelligence Academy Foundation, New Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9544-4226","authenticated-orcid":false,"given":"Huan-Hsin","family":"Tseng","sequence":"additional","affiliation":[{"name":"Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7867-4716","authenticated-orcid":false,"given":"Kai-Chun","family":"Liu","sequence":"additional","affiliation":[{"name":"Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jhih-Yu","family":"Chen","sequence":"additional","affiliation":[{"name":"Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7339-1194","authenticated-orcid":false,"given":"Chih-Han","family":"Huang","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guo-Yuan","family":"Li","sequence":"additional","affiliation":[{"name":"Program of Taiwan AI Academy, Taiwan Artificial Intelligence Academy Foundation, New Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chun-Yen","family":"Shen","sequence":"additional","affiliation":[{"name":"Graduate Program of Data Science, National Taiwan University and Academia Sinica, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6956-0418","authenticated-orcid":false,"given":"Yu","family":"Tsao","sequence":"additional","affiliation":[{"name":"Graduate Program of Data Science, National Taiwan University and Academia Sinica, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2021.3129316"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/51.932724"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3139367.3139382"},{"key":"ref59","author":"hearty","year":"2016","journal-title":"Advanced Machine Learning With Python"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/235968.233324"},{"key":"ref53","author":"birnbaum","year":"2019","journal-title":"Temporal FiLM Capturing long-range sequence dependencies with feature-wise modulations"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2018.2821903"},{"key":"ref55","doi-asserted-by":"crossref","first-page":"215e","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals","volume":"101","author":"goldberger","year":"2000","journal-title":"Circulation"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/WF-IoT.2018.8355116"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1166\/jmihi.2018.2442"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2021.3116228"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2020.2981511"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2016.7613192"},{"key":"ref19","author":"brunner","year":"2010","journal-title":"Brunner & Suddarth's Textbook of Medical-Surgical Nursing"},{"key":"ref18","year":"2019","journal-title":"Taking an ECG with the ECG app on Apple watch series 4"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.2976193"},{"key":"ref50","author":"mehri","year":"2016","journal-title":"Samplernn An unconditional end-to-end neural audio generation model"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCEP.119.007284"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2013-130"},{"key":"ref89","first-page":"1118","article-title":"General data protection regulation (GDPR) in healthcare: Hot topics and research fronts","volume":"270","author":"fatehi","year":"2020","journal-title":"Stud Health Technol Inform"},{"key":"ref45","author":"jurafsky","year":"2014","journal-title":"Speech and Language Processing"},{"key":"ref48","author":"briot","year":"2017","journal-title":"Deep learning techniques for music generation-a survey"},{"key":"ref47","author":"van den oord","year":"2016","journal-title":"WaveNet A Generative Model for Raw Audio"},{"key":"ref86","author":"garcia","year":"2004","journal-title":"Arrhythmia Recognition The Art of Interpretation"},{"key":"ref42","author":"zhang","year":"2018","journal-title":"Image super-resolution using very deep residual channel attention networks"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1272\/jnms.2018_85-14"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00131"},{"key":"ref88","author":"yang","year":"2019","journal-title":"Federated machine learning Concept and applications"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2205597"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.3949\/ccjm.78a.10077"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01132"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2009.06.005"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2013.2286157"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3366424.3383529"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICSENS.2014.6985162"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/s20030606"},{"key":"ref3","author":"kibos","year":"2013","journal-title":"Cardiac arrhythmias From basic mechanism to state-of-the-art management"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/BSN.2018.8329657"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"726","DOI":"10.1109\/TITB.2010.2047401","article-title":"An intelligent telecardiology system using a wearable and wireless ECG to detect atrial fibrillation","volume":"14","author":"lin","year":"2010","journal-title":"IEEE Trans Inf Technol Biomed"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1097\/MAJ.0b013e3181e73fcf"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0268-3"},{"key":"ref84","author":"wesley","year":"2016","journal-title":"Huszar’s ECG and 12-Lead Interpretation-E-Book"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1002\/9781118392041"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746347"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1270"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2010-164"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"ref37","author":"johnson","year":"2016","journal-title":"Perceptual losses for real-time style transfer and super-resolution"},{"key":"ref36","author":"ahn","year":"2018","journal-title":"Fast accurate and lightweight super-resolution with cascading residual network"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2018.2877481"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.481"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2018.2875799"},{"key":"ref30","author":"haris","year":"2018","journal-title":"Task-driven super resolution Object detection in low-resolution images"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-519"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.618"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2022.3145055"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_13"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MCE.2016.2556879"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MCE.2019.2923929"},{"key":"ref39","author":"ledig","year":"2016","journal-title":"Photo-realistic single image super-resolution using a generative adversarial network"},{"key":"ref38","author":"bulat","year":"2017","journal-title":"Super-fan Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with gans"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2014.6780921"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/MCE.2018.2797741"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2017.015063"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2019.2917895"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/MCE.2017.2715578"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.05.013"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2012.08.015"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1364\/AO.58.002731"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2017.015101"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3113908"},{"key":"ref64","first-page":"2825","article-title":"Scikit-learn: Machine Learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.isci.2020.100886"},{"key":"ref63","author":"charles","year":"2013","journal-title":"Project title GitHub repository"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.4258\/hir.2018.24.3.198"},{"key":"ref65","article-title":"Adam: A Method for Stochastic Optimization","author":"kingma","year":"2014","journal-title":"ArXiv e-prints"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7319746"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-017-0033-z"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/s19235317"},{"key":"ref29","author":"dai","year":"2015","journal-title":"Is Image Super-resolution Helpful for Other Vision Tasks?"},{"key":"ref60","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"0"},{"key":"ref62","author":"abadi","year":"2016","journal-title":"Tensorflow Large-scale machine learning on heterogeneous distributed systems"},{"key":"ref61","author":"xu","year":"2015","journal-title":"Empirical evaluation of rectified activations in convolutional network"}],"container-title":["IEEE Transactions on Consumer Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/30\/10221725\/10018428.pdf?arnumber=10018428","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,21]],"date-time":"2024-02-21T18:53:29Z","timestamp":1708541609000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10018428\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":90,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tce.2023.3237715","relation":{},"ISSN":["0098-3063","1558-4127"],"issn-type":[{"value":"0098-3063","type":"print"},{"value":"1558-4127","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8]]}}}