Academic Journal
An Inertial-Based Wearable System for Monitoring Vital Signs during Sleep
| Title: | An Inertial-Based Wearable System for Monitoring Vital Signs during Sleep |
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| Authors: | Spyridon Kontaxis, Foivos Kanellos, Adamantios Ntanis, Nicholas Kostikis, Spyridon Konitsiotis, George Rigas |
| Source: | Sensors, Vol 24, Iss 13, p 4139 (2024) |
| Publisher Information: | MDPI AG, 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Chemical technology |
| Subject Terms: | respiratory rate, heart rate, sleep disorders, polysomnography, seismocardiography, gyrocardiography, Chemical technology, TP1-1185 |
| More Details: | 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. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 24134139 1424-8220 |
| Relation: | https://www.mdpi.com/1424-8220/24/13/4139; https://doaj.org/toc/1424-8220 |
| DOI: | 10.3390/s24134139 |
| Access URL: | https://doaj.org/article/04e66d3e14784b6e967442fa1df11241 |
| Accession Number: | edsdoj.04e66d3e14784b6e967442fa1df11241 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 24134139 14248220 |
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| DOI: | 10.3390/s24134139 |
| Published in: | Sensors |
| Language: | English |