{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T00:40:54Z","timestamp":1778546454869,"version":"3.51.4"},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T00:00:00Z","timestamp":1716768000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T00:00:00Z","timestamp":1716768000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Alma Mater Studiorum - Universit\u00e0 di Bologna"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Wearable electronics are increasingly common and useful as health monitoring devices, many of which feature the ability to record a single-lead electrocardiogram (ECG). However, recording the ECG commonly requires the user to touch the device to complete the lead circuit, which prevents continuous data acquisition. An alternative approach to enable continuous monitoring without user initiation is to embed the leads in a garment. This study assessed ECG data obtained from the YouCare device (a novel sensorized garment) via comparison with a conventional Holter monitor. A cohort of thirty patients (age range: 20\u201382 years; 16 females and 14 males) were enrolled and monitored for twenty-four hours with both the YouCare device and a Holter monitor. ECG data from both devices were qualitatively assessed by a panel of three expert cardiologists and quantitatively analyzed using specialized software. Patients also responded to a survey about the comfort of the YouCare device as compared to the Holter monitor. The YouCare device was assessed to have 70% of its ECG signals as \u201cGood\u201d, 12% as \u201cAcceptable\u201d, and 18% as \u201cNot Readable\u201d. The R-wave, independently recorded by the YouCare device and Holter monitor, were synchronized within measurement error during 99.4% of cardiac cycles. In addition, patients found the YouCare device more comfortable than the Holter monitor (comfortable 22 vs. 5 and uncomfortable 1 vs. 18, respectively). Therefore, the quality of ECG data collected from the garment-based device was comparable to a Holter monitor when the signal was sufficiently acquired, and the garment was also comfortable.<\/jats:p>","DOI":"10.1007\/s10916-024-02077-9","type":"journal-article","created":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T04:01:27Z","timestamp":1716782487000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Comparison Between a Single-Lead ECG Garment Device and a Holter Monitor: A Signal Quality Assessment"],"prefix":"10.1007","volume":"48","author":[{"given":"Luca","family":"Neri","sequence":"first","affiliation":[]},{"given":"Ivan","family":"Corazza","sequence":"additional","affiliation":[]},{"given":"Matt T.","family":"Oberdier","sequence":"additional","affiliation":[]},{"given":"Jessica","family":"Lago","sequence":"additional","affiliation":[]},{"given":"Ilaria","family":"Gallelli","sequence":"additional","affiliation":[]},{"given":"Arrigo F.G.","family":"Cicero","sequence":"additional","affiliation":[]},{"given":"Igor","family":"Diemberger","sequence":"additional","affiliation":[]},{"given":"Alessandro","family":"Orro","sequence":"additional","affiliation":[]},{"given":"Amir","family":"Beker","sequence":"additional","affiliation":[]},{"given":"Nazareno","family":"Paolocci","sequence":"additional","affiliation":[]},{"given":"Henry R.","family":"Halperin","sequence":"additional","affiliation":[]},{"given":"Claudio","family":"Borghi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,5,27]]},"reference":[{"key":"2077_CR1","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1016\/j.hrthm.2020.02.023","volume":"17","author":"Lilas Dagher","year":"2020","unstructured":"Dagher, Lilas, Hanyuan Shi, Yan Zhao, and Nassir F. Marrouche. 2020. Wearables in cardiology: Here to stay. Heart Rhythm 17: 889\u2013895. https:\/\/doi.org\/10.1016\/j.hrthm.2020.02.023.","journal-title":"Heart Rhythm"},{"key":"2077_CR2","doi-asserted-by":"publisher","unstructured":"Gargiulo, Gaetano D., and Ganesh R. Naik, ed. 2022. Wearable\/Personal Monitoring Devices Present to Future. Singapore: Springer Singapore. https:\/\/doi.org\/10.1007\/978-981-16-5324-7.","DOI":"10.1007\/978-981-16-5324-7"},{"key":"2077_CR3","doi-asserted-by":"publisher","unstructured":"Steinberg, Christian, Fran\u00e7ois Philippon, Marina Sanchez, Pascal Fortier-Poisson, Gilles O\u2019Hara, Franck Molin, Jean-Fran\u00e7ois Sarrazin, et al. 2019. A Novel Wearable Device for Continuous Ambulatory ECG Recording: Proof of Concept and Assessment of Signal Quality. Biosensors 9. Multidisciplinary Digital Publishing Institute: 17. https:\/\/doi.org\/10.3390\/bios9010017.","DOI":"10.3390\/bios9010017"},{"key":"2077_CR4","doi-asserted-by":"publisher","first-page":"e27487","DOI":"10.2196\/27487","volume":"24","author":"Rui Cao","year":"2022","unstructured":"Cao, Rui, Iman Azimi, Fatemeh Sarhaddi, Hannakaisa Niela-Vilen, Anna Axelin, Pasi Liljeberg, and Amir M. Rahmani. 2022. Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison With Electrocardiography in Time and Frequency Domains: Comprehensive Analysis. Journal of Medical Internet Research 24: e27487. https:\/\/doi.org\/10.2196\/27487.","journal-title":"Journal of Medical Internet Research"},{"key":"2077_CR5","doi-asserted-by":"publisher","first-page":"2539","DOI":"10.3390\/s21072539","volume":"21","author":"David Duncker","year":"2021","unstructured":"Duncker, David, Wern Yew Ding, Susan Etheridge, Peter A. Noseworthy, Christian Veltmann, Xiaoxi Yao, T. Jared Bunch, and Dhiraj Gupta. 2021. Smart Wearables for Cardiac Monitoring-Real-World Use beyond Atrial Fibrillation. Sensors (Basel, Switzerland) 21: 2539. https:\/\/doi.org\/10.3390\/s21072539.","journal-title":"Sensors (Basel, Switzerland)"},{"key":"2077_CR6","doi-asserted-by":"publisher","first-page":"e34384","DOI":"10.2196\/34384","volume":"10","author":"Sophie Huhn","year":"2022","unstructured":"Huhn, Sophie, Miriam Axt, Hanns-Christian Gunga, Martina Anna Maggioni, Stephen Munga, David Obor, Ali Si\u00e9, et al. 2022. The Impact of Wearable Technologies in Health Research: Scoping Review. JMIR mHealth and uHealth 10: e34384. https:\/\/doi.org\/10.2196\/34384.","journal-title":"JMIR mHealth and uHealth"},{"key":"2077_CR7","doi-asserted-by":"publisher","unstructured":"Mannhart, Diego, Mirko Lischer, Sven Knecht, Jeanne du Fay de Lavallaz, Ivo Strebel, Teodor Serban, David V\u00f6geli, et al. 2023. Clinical Validation of 5 Direct-to-Consumer Wearable Smart Devices to Detect Atrial Fibrillation: BASEL Wearable Study. JACC: Clinical Electrophysiology. https:\/\/doi.org\/10.1016\/j.jacep.2022.09.011.","DOI":"10.1016\/j.jacep.2022.09.011"},{"key":"2077_CR8","doi-asserted-by":"publisher","first-page":"801","DOI":"10.5603\/CJ.2021.0140","volume":"28","author":"Miko\u0142aj Basza","year":"2021","unstructured":"Basza, Miko\u0142aj, Bartosz Krzowski, Pawe\u0142 Balsam, Marcin Grabowski, Grzegorz Opolski, and Lukasz Ko\u0142towski. 2021. An Apple Watch a day keeps the doctor away? Cardiology Journal 28: 801\u2013803. https:\/\/doi.org\/10.5603\/CJ.2021.0140.","journal-title":"Cardiology Journal"},{"key":"2077_CR9","unstructured":"Taylor, John R. 2024. An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, Second Edition. University Science Books. https:\/\/uscibooks.aip.org\/books\/introduction-to-error-analysis-2nd-ed\/. Accessed January 11."},{"key":"2077_CR10","doi-asserted-by":"publisher","unstructured":"Makowski, Dominique, Tam Pham, Zen J. Lau, Jan C. Brammer, Fran\u00e7ois Lespinasse, Hung Pham, Christopher Sch\u00f6lzel, and S. H. Annabel Chen. 2021. NeuroKit2: A Python toolbox for neurophysiological signal processing. Behavior Research Methods 53: 1689\u20131696. https:\/\/doi.org\/10.3758\/s13428-020-01516-y.","DOI":"10.3758\/s13428-020-01516-y"},{"key":"2077_CR11","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/j.cmpb.2014.08.002","volume":"117","author":"I Corazza","year":"2014","unstructured":"Corazza, I., G. Barletta, P. Guaraldi, A. Cecere, G. Calandra-Buonaura, E. Altini, R. Zannoli, and P. Cortelli. 2014. A new integrated instrumental approach to autonomic nervous system assessment. Computer Methods and Programs in Biomedicine 117: 267\u2013276. https:\/\/doi.org\/10.1016\/j.cmpb.2014.08.002.","journal-title":"Computer Methods and Programs in Biomedicine"},{"key":"2077_CR12","doi-asserted-by":"publisher","unstructured":"Nigusse, Abreha Bayrau, Desalegn Alemu Mengistie, Benny Malengier, Granch Berhe Tseghai, and Lieva Van Langenhove. 2021. Wearable Smart Textiles for Long-Term Electrocardiography Monitoring\u2014A Review. Sensors 21. Multidisciplinary Digital Publishing Institute: 4174. https:\/\/doi.org\/10.3390\/s21124174.","DOI":"10.3390\/s21124174"},{"key":"2077_CR13","doi-asserted-by":"publisher","first-page":"1203","DOI":"10.1007\/s00380-019-01347-8","volume":"34","author":"Yayoi Tsukada","year":"2019","unstructured":"Tsukada, Yayoi Tetsuou, Miwa Tokita, Hiroshige Murata, Yasuhiro Hirasawa, Kenji Yodogawa, Yu-ki Iwasaki, Kuniya Asai, et al. 2019. Validation of wearable textile electrodes for ECG monitoring. Heart and Vessels 34: 1203\u20131211. https:\/\/doi.org\/10.1007\/s00380-019-01347-8.","journal-title":"Heart and Vessels"},{"key":"2077_CR14","doi-asserted-by":"publisher","unstructured":"Neri, Luca, Matt T. Oberdier, Antonio Augello, Masahito Suzuki, Ethan Tumarkin, Sujai Jaipalli, Gian Angelo Geminiani, Henry R. Halperin, and Claudio Borghi. 2023. Algorithm for Mobile Platform-Based Real-Time QRS Detection. Sensors 23. Multidisciplinary Digital Publishing Institute: 1625. https:\/\/doi.org\/10.3390\/s23031625.","DOI":"10.3390\/s23031625"},{"key":"2077_CR15","doi-asserted-by":"publisher","unstructured":"Neri, Luca, Matt T. Oberdier, Kirsten C. J. van Abeelen, Luca Menghini, Ethan Tumarkin, Hemantkumar Tripathi, Sujai Jaipalli, et al. 2023. Electrocardiogram Monitoring Wearable Devices and Artificial-Intelligence-Enabled Diagnostic Capabilities: A Review. Sensors 23. Multidisciplinary Digital Publishing Institute: 4805. https:\/\/doi.org\/10.3390\/s23104805.","DOI":"10.3390\/s23104805"}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-024-02077-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10916-024-02077-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-024-02077-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,14]],"date-time":"2025-01-14T07:29:38Z","timestamp":1736839778000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10916-024-02077-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,27]]},"references-count":15,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["2077"],"URL":"https:\/\/doi.org\/10.1007\/s10916-024-02077-9","relation":{},"ISSN":["1573-689X"],"issn-type":[{"value":"1573-689X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,27]]},"assertion":[{"value":"19 January 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 May 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 May 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The protocol and overall study were approved by an ethics committee (Internal code: 156\/2022\/Disp\/AOUBo by the Comitato Etico Area Vasta Emilia Centro - CE-AVEC \u2013 Bologna, Italy), registered on the Italian Ministry of Health website, and on clinicaltrials.gov (Identifier NCT05771142). The study was conducted in accordance with the Declaration of Helsinki, and each participant provided written informed consent.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval and Consent to Participate"}},{"value":"The co-author A.B. is employed by AccYouRate Group, which is a company that is producing wearable technology that analyzes ECG signals on a mobile platform.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}],"article-number":"57"}}