{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,12]],"date-time":"2026-07-12T05:11:54Z","timestamp":1783833114065,"version":"3.55.0"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"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","award":["CNS-2007274"],"award-info":[{"award-number":["CNS-2007274"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1822099"],"award-info":[{"award-number":["CNS-1822099"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/tcad.2022.3162182","type":"journal-article","created":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T19:47:26Z","timestamp":1648237646000},"page":"5394-5407","source":"Crossref","is-referenced-by-count":17,"title":["Personalized Neural Network for Patient-Specific Health Monitoring in IoT: A Metalearning Approach"],"prefix":"10.1109","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0554-3608","authenticated-orcid":false,"given":"Zhenge","family":"Jia","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiyu","family":"Shi","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4029-4034","authenticated-orcid":false,"given":"Jingtong","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1093\/europace\/eum096"},{"key":"ref38","year":"2003","journal-title":"Ann Arbor Electrogram Libraries"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.09.027"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/s19081932"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2015.263"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.12.007"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/360"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2018.2813138"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-020-78418-8","article-title":"Unobtrusive detection of Parkinson’s disease from multi-modal and in-the-wild sensor data using deep learning techniques","volume":"10","author":"papadopoulos","year":"2020","journal-title":"Sci Rep"},{"key":"ref34","first-page":"1","article-title":"LSTM siamese network for Parkinson’s disease detection from speech","author":"bhati","year":"2019","journal-title":"Proc IEEE Global Conf Signal Inf Process (GlobalSIP)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IAC.2016.7905732"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2007.4373774"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/s20072136"},{"key":"ref2","first-page":"739","article-title":"IoT based health monitoring system","volume":"7","author":"valsalan","year":"2020","journal-title":"Critical Review"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEV.2016.7760135"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12185"},{"key":"ref22","article-title":"How to train your MAML","author":"antoniou","year":"2018","journal-title":"arXiv 1810 09502"},{"key":"ref21","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"2017","journal-title":"arXiv 1703 03400"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s00399-016-0454-2"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.112.000542"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.119.044126"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjmed.2013.10.003"},{"key":"ref50","year":"2020","journal-title":"Cybersecurity Vulnerabilities—Medtronic Implantable Cardia Devices"},{"key":"ref51","year":"2020","journal-title":"SweynTooth cybersecurity vulnerabilities may affect certain medical devices FDA safety communication"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/2541228.2555313"},{"key":"ref58","year":"2019","journal-title":"Raspberry Pi 4 Model B"},{"key":"ref57","year":"2020","journal-title":"STM32 solutions for Artificial Neural Networks"},{"key":"ref56","year":"2020","journal-title":"Discovery kit with STM32F407VG MCU"},{"key":"ref55","first-page":"1082","article-title":"On the convergence theory of gradient-based model-agnostic meta-learning algorithms","author":"fallah","year":"2020","journal-title":"Proc Int Conf Artif Intell Stat"},{"key":"ref54","article-title":"Classification of 12-lead ECGs: The physionet\/computing in cardiology challenge 2020","volume":"41","author":"alday","year":"2021","journal-title":"Physiol Meas"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2007.4352858"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.58"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.hrthm.2014.06.006"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ihj.2013.11.007"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/app7101101"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1211107"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.08.039"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0268-3"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2019.8834637"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1161\/JAHA.119.015138"},{"key":"ref17","first-page":"131","article-title":"Human activity recognition from accelerometer data using convolutional neural network","author":"lee","year":"2017","journal-title":"Proc Int Conf Big Data Smart Comput (BIGCOMP)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2468589"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301557"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00399-016-0455-1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-018-1308-x"},{"key":"ref6","year":"2021","journal-title":"Irhythm Zio Patch"},{"key":"ref5","year":"2017","journal-title":"LUX-DxTM Insertable Cardiac Monitor (ICM) System"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/jsan6040028"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2010.5665868"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3126501"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2989053"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/s20185356"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-019-01322-7"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2803201"},{"key":"ref47","article-title":"On first-order meta-learning algorithms","author":"nichol","year":"2018","journal-title":"arXiv 1803 02999"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/s21093225"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/359"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3096127"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCEP.117.005305"}],"container-title":["IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/43\/9956950\/9743335-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/43\/9956950\/09743335.pdf?arnumber=9743335","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:42:41Z","timestamp":1670874161000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9743335\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":59,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tcad.2022.3162182","relation":{},"ISSN":["0278-0070","1937-4151"],"issn-type":[{"value":"0278-0070","type":"print"},{"value":"1937-4151","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}