{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T05:12:56Z","timestamp":1777957976000,"version":"3.51.4"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100000654","name":"European Union\u2019s Horizon 2020 Research and Innovation Program under Marie Sk\u0142odowska Curie","doi-asserted-by":"publisher","award":["813278"],"award-info":[{"award-number":["813278"]}],"id":[{"id":"10.13039\/501100000654","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Project \u201cEarly COVID-19 Infection Detection System for the Safety of Vulnerable Groups Using Artificial Intelligence,\u201d Ministry of the Interior, Czech Republic","award":["VI04000039"],"award-info":[{"award-number":["VI04000039"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3106255","type":"journal-article","created":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T20:07:02Z","timestamp":1629317222000},"page":"119476-119491","source":"Crossref","is-referenced-by-count":16,"title":["COVID-19 Diagnosis at Early Stage Based on Smartwatches and Machine Learning Techniques"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8531-3393","authenticated-orcid":false,"given":"Justyna","family":"Skibinska","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Radim","family":"Burget","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6728-2458","authenticated-orcid":false,"given":"Asma","family":"Channa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7843-7187","authenticated-orcid":false,"given":"Nirvana","family":"Popescu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3976-297X","authenticated-orcid":false,"given":"Yevgeni","family":"Koucheryavy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1093\/bjaceaccp\/mkn041"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.softx.2020.100456"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.21037\/atm-20-3678"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abd4794"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2020-038555"},{"key":"ref30","first-page":"1","article-title":"A headset like wearable device to track COVID-19 symptoms","author":"stojanovic","year":"2020","journal-title":"Proc 9th Medit Conf Embedded Comput (MECO)"},{"key":"ref37","author":"cook","year":"2015","journal-title":"Activity Learning Discovering Recognizing and Predicting Human Behavior from Sensor Data"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/s18020679"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/s19194079"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/s131217472"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/BWCCA.2012.73"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1021\/acsmaterialslett.0c00299"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.110120"},{"key":"ref29","article-title":"In-ear Spo?: A tool for wearable, unobtrusive monitoring of hypoxaemia in COVID-19","author":"davies","year":"2020","journal-title":"medRxiv"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-020-0916-2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.talanta.2020.121392"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-020-00640-6"},{"key":"ref22","article-title":"CovidDeep: SARS-CoV-2\/COVID-19 test based on wearable medical sensors and efficient neural networks","author":"hassantabar","year":"2020","journal-title":"arXiv 2007 10497"},{"key":"ref21","article-title":"COVID-19 prediction and symptom analysis using wearable sensors and IoT","author":"karthickraja","year":"2020","journal-title":"Int J Pervasive Comput Commun"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-00363-7"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0243693"},{"key":"ref26","doi-asserted-by":"crossref","DOI":"10.1109\/JIOT.2021.3050775","article-title":"Realizing an effective COVID-19 diagnosis system based on machine learning and IOT in smart hospital environment","author":"abdulkareem","year":"2021","journal-title":"IEEE Internet of Things Journal"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2020.100188"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.4338\/ACI-2016-03-R-0042"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.9157"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.107789"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.3390\/s21041030"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.3390\/s20236778"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2018.08.021"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1080\/02640414.2017.1412235"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.2196\/10527"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.104163"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3390\/s20102826"},{"key":"ref10","article-title":"Estimating the global infection fatality rate of COVID-19","author":"grewelle","year":"2020","journal-title":"medRxiv"},{"key":"ref11","year":"2021","journal-title":"COVID-19 Dashboard by the Center for Systems Science and Engineering at Johns Hopkins University"},{"key":"ref40","first-page":"124","article-title":"Parkinson’s disease detection based on changes of emotions during speech","author":"skibi?ska","year":"2020","journal-title":"Proc 12th Int Congr Ultra Mod Telecommun Control Syst Workshops (ICUMT)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2021.01.002"},{"key":"ref13","article-title":"Reconstructed diagnostic sensitivity and specificity of the RT-PCR test for COVID-19","author":"padhye","year":"2020","journal-title":"medRxiv"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-020-0869-5"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.healun.2020.03.012"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"7234","DOI":"10.33263\/BRIAC106.72347242","article-title":"A review on COVID-19: Origin, spread, symptoms, treatment, and prevention","volume":"10","author":"hadi","year":"2020","journal-title":"Biointerface Res Appl Chem"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108074"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-020-78355-6","article-title":"Feasibility of continuous fever monitoring using wearable devices","volume":"10","author":"smarr","year":"2020","journal-title":"Sci Rep"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/6152041"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00415-020-09941-x"},{"key":"ref3","first-page":"1","article-title":"Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19","volume":"12","author":"struyf","year":"2020","journal-title":"Cochrane Database Syst Rev"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.m3001"},{"key":"ref5","first-page":"1","article-title":"Challenge of post-COVID era: Management of cardiovascular complications in asymptomatic carriers of SARS-CoV-2","volume":"11","author":"gupta","year":"2021","journal-title":"Heart Failure Rev"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2001316"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1186\/s40249-020-00646-x"},{"key":"ref49","year":"2021","journal-title":"TSFEL Time Series Feature Extraction Library"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.12839"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCONS.2018.8663155"},{"key":"ref45","first-page":"1310","article-title":"A review of supervised machine learning algorithms","author":"singh","year":"2016","journal-title":"Proc 3rd Int Conf Comput Sustain Global Develop (INDIACom)"},{"key":"ref48","first-page":"2094","article-title":"A survey on decision tree algorithms of classification in data mining","volume":"5","author":"sharma","year":"2016","journal-title":"Int J Sci Res"},{"key":"ref47","first-page":"334","article-title":"Comparative analysis of decision tree classification algorithms","volume":"3","author":"priyam","year":"2013","journal-title":"International Journal of Current Engineering and Technology"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3102\/10769986027001077"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.20982\/tqmp.04.1.p013"},{"key":"ref44","author":"han","year":"2006","journal-title":"Data Mining Concepts and Techniques"},{"key":"ref43","article-title":"Pattern recognition and machine learning","author":"bishop","year":"2013","journal-title":"Information Science and Statistics"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09517046.pdf?arnumber=9517046","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:57:34Z","timestamp":1639771054000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9517046\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":60,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3106255","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}