{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T21:21:19Z","timestamp":1762809679194,"version":"build-2065373602"},"reference-count":55,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T00:00:00Z","timestamp":1719360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This study explores the feasibility of a wearable system to monitor vital signs during sleep. The system incorporates five inertial measurement units (IMUs) located on the waist, the arms, and the legs. To evaluate the performance of a novel framework, twenty-three participants underwent a sleep study, and vital signs, including respiratory rate (RR) and heart rate (HR), were monitored via polysomnography (PSG). The dataset comprises individuals with varying severity of sleep-disordered breathing (SDB). Using a single IMU sensor positioned at the waist, strong correlations of more than 0.95 with the PSG-derived vital signs were obtained. Low inter-participant mean absolute errors of about 0.66 breaths\/min and 1.32 beats\/min were achieved, for RR and HR, respectively. The percentage of data available for analysis, representing the time coverage, was 98.3% for RR estimation and 78.3% for HR estimation. Nevertheless, the fusion of data from IMUs positioned at the arms and legs enhanced the inter-participant time coverage of HR estimation by over 15%. These findings imply that the proposed methodology can be used for vital sign monitoring during sleep, paving the way for a comprehensive understanding of sleep quality in individuals with SDB.<\/jats:p>","DOI":"10.3390\/s24134139","type":"journal-article","created":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T09:29:33Z","timestamp":1719394173000},"page":"4139","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["An Inertial-Based Wearable System for Monitoring Vital Signs during Sleep"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1297-0691","authenticated-orcid":false,"given":"Spyridon","family":"Kontaxis","sequence":"first","affiliation":[{"name":"PD Neurotechnology Ltd., 45500 Ioannina, Greece"}]},{"given":"Foivos","family":"Kanellos","sequence":"additional","affiliation":[{"name":"PD Neurotechnology Ltd., 45500 Ioannina, Greece"},{"name":"Department of Physiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1161-4222","authenticated-orcid":false,"given":"Adamantios","family":"Ntanis","sequence":"additional","affiliation":[{"name":"PD Neurotechnology Ltd., 45500 Ioannina, Greece"}]},{"given":"Nicholas","family":"Kostikis","sequence":"additional","affiliation":[{"name":"PD Neurotechnology Ltd., 45500 Ioannina, Greece"}]},{"given":"Spyridon","family":"Konitsiotis","sequence":"additional","affiliation":[{"name":"University Hospital of Ioannina and Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece"}]},{"given":"George","family":"Rigas","sequence":"additional","affiliation":[{"name":"PD Neurotechnology Ltd., 45500 Ioannina, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1200","DOI":"10.1001\/jama.2019.1696","article-title":"In-hospital cardiac arrest: A review","volume":"321","author":"Andersen","year":"2019","journal-title":"JAMA"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"657","DOI":"10.5694\/j.1326-5377.2008.tb01825.x","article-title":"Respiratory rate: The neglected vital sign","volume":"188","author":"Cretikos","year":"2008","journal-title":"Med. 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