Innovative Sleep Monitoring: A Non-Invasive Approach Using Force-Sensing Resistors for Analyzing Sleep Quality and Detecting Sleep-Related Breathing Disorders
| dc.contributor.author | Lokavee S. | |
| dc.contributor.author | Pengjiam J. | |
| dc.contributor.author | Tantrakul V. | |
| dc.contributor.author | Kerdcharoen T. | |
| dc.contributor.correspondence | Lokavee S. | |
| dc.contributor.other | Mahidol University | |
| dc.date.accessioned | 2024-05-21T18:26:31Z | |
| dc.date.available | 2024-05-21T18:26:31Z | |
| dc.date.issued | 2024-03-01 | |
| dc.description.abstract | This study presents an innovative, non-invasive sleep monitoring system that employs force-sensing resistors (FSRs) embedded in a pillow sheet to analyze sleep quality and detect sleep-related breathing disorders (SDB), offering an alternative to conventional polysomnography (PSG). We employed a comprehensive methodology, integrating FSRs with a wireless network device and dedicated software for real-time, precise data analysis and storage. The FSRs, calibrated to measure biomechanical signals associated with body movement, are integrated with a wireless network device. The experiment involved twenty-seven subjects diagnosed with sleep apnea, and the results were compared with PSG recordings. The intelligent sleep application recorded various sleep metrics, including sleep efficiency (SE), and respiratory rhythm. A regression analysis revealed a strong correlation (R2 = 0.96) between the SE measured by the PSG device and the pillow-sheet sensor systems, confirming the reliability of the latter. The Bland-Altman plot further supported this consistency. In conclusion, the pillow-sheet embedded with FSR sensors is a promising tool for unobtrusive sleep monitoring and SDB detection. It offers comparable accuracy to PSG, with the added benefits of being user-friendly and nonrestrictive, making it suitable for clinical and home settings. The system’s ability to provide insights into sleep patterns, detect apnea episodes, and analyze sleep postures presents a significant advancement in sleep research and medicine, with potential applications in personalized sleep health management. | |
| dc.identifier.citation | International Journal of Geoinformatics Vol.20 No.3 (2024) , 17-27 | |
| dc.identifier.doi | 10.52939/ijg.v20i3.3123 | |
| dc.identifier.eissn | 26730014 | |
| dc.identifier.issn | 16866576 | |
| dc.identifier.scopus | 2-s2.0-85193032692 | |
| dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/123456789/98415 | |
| dc.rights.holder | SCOPUS | |
| dc.subject | Earth and Planetary Sciences | |
| dc.subject | Physics and Astronomy | |
| dc.subject | Social Sciences | |
| dc.title | Innovative Sleep Monitoring: A Non-Invasive Approach Using Force-Sensing Resistors for Analyzing Sleep Quality and Detecting Sleep-Related Breathing Disorders | |
| dc.type | Article | |
| mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85193032692&origin=inward | |
| oaire.citation.endPage | 27 | |
| oaire.citation.issue | 3 | |
| oaire.citation.startPage | 17 | |
| oaire.citation.title | International Journal of Geoinformatics | |
| oaire.citation.volume | 20 | |
| oairecerif.author.affiliation | Ramathibodi Hospital | |
| oairecerif.author.affiliation | Mahidol University |
