Innovative Sleep Monitoring: A Non-Invasive Approach Using Force-Sensing Resistors for Analyzing Sleep Quality and Detecting Sleep-Related Breathing Disorders

dc.contributor.authorLokavee S.
dc.contributor.authorPengjiam J.
dc.contributor.authorTantrakul V.
dc.contributor.authorKerdcharoen T.
dc.contributor.correspondenceLokavee S.
dc.contributor.otherMahidol University
dc.date.accessioned2024-05-21T18:26:31Z
dc.date.available2024-05-21T18:26:31Z
dc.date.issued2024-03-01
dc.description.abstractThis 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.citationInternational Journal of Geoinformatics Vol.20 No.3 (2024) , 17-27
dc.identifier.doi10.52939/ijg.v20i3.3123
dc.identifier.eissn26730014
dc.identifier.issn16866576
dc.identifier.scopus2-s2.0-85193032692
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/98415
dc.rights.holderSCOPUS
dc.subjectEarth and Planetary Sciences
dc.subjectPhysics and Astronomy
dc.subjectSocial Sciences
dc.titleInnovative Sleep Monitoring: A Non-Invasive Approach Using Force-Sensing Resistors for Analyzing Sleep Quality and Detecting Sleep-Related Breathing Disorders
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85193032692&origin=inward
oaire.citation.endPage27
oaire.citation.issue3
oaire.citation.startPage17
oaire.citation.titleInternational Journal of Geoinformatics
oaire.citation.volume20
oairecerif.author.affiliationRamathibodi Hospital
oairecerif.author.affiliationMahidol University

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