TY - GEN
T1 - A Sleep Monitoring System Using Force Sensor and an Accelerometer Sensor for Screening Sleep Apnea
AU - Lokavee, Shongpun
AU - Tantrakul, Visasiri
AU - Pengjiam, Janejira
AU - Kerdcharoen, Teerakiat
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/1/21
Y1 - 2021/1/21
N2 - Obstructive sleep apnea (OSA) is the essential cause of sleep-related breathing disorders in which breathing repeatedly stops and starts during sleep. Sleep-disordered breathing can affect our overall health, safety, and quality of life. This study was focused on the detection of sleep posture and sleep breathing disorder, by measuring the sensing response of a piezoelectric sensor installed on the mattress, pillowcase, and sleep apnea positional-Therapy device. In this work, we have developed a sleep monitoring system based on an unobtrusive method. The results of sleep efficiency, sleep pose, and sleep apnea was compared with the gold standard of sleep monitoring in-laboratory polysomnography (PSG). Linear regression of all results reveals strong correlations between our smart sleep system and the PSG device. This novel system has high efficiency as an alternative not only to monitor sleep but also to identify and treat abnormal breathing patterns by training to sleep on your side positions. It can help improve the quality of sleep and reduce snoring and sleep apnea.
AB - Obstructive sleep apnea (OSA) is the essential cause of sleep-related breathing disorders in which breathing repeatedly stops and starts during sleep. Sleep-disordered breathing can affect our overall health, safety, and quality of life. This study was focused on the detection of sleep posture and sleep breathing disorder, by measuring the sensing response of a piezoelectric sensor installed on the mattress, pillowcase, and sleep apnea positional-Therapy device. In this work, we have developed a sleep monitoring system based on an unobtrusive method. The results of sleep efficiency, sleep pose, and sleep apnea was compared with the gold standard of sleep monitoring in-laboratory polysomnography (PSG). Linear regression of all results reveals strong correlations between our smart sleep system and the PSG device. This novel system has high efficiency as an alternative not only to monitor sleep but also to identify and treat abnormal breathing patterns by training to sleep on your side positions. It can help improve the quality of sleep and reduce snoring and sleep apnea.
KW - polysomnography
KW - respiratory pattern
KW - sleep apnea
KW - sleep efficiency
KW - sleep-related breathing disorders
UR - https://www.scopus.com/pages/publications/85105848587
U2 - 10.1109/KST51265.2021.9415835
DO - 10.1109/KST51265.2021.9415835
M3 - Conference contribution
AN - SCOPUS:85105848587
T3 - KST 2021 - 2021 13th International Conference Knowledge and Smart Technology
SP - 208
EP - 213
BT - KST 2021 - 2021 13th International Conference Knowledge and Smart Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference Knowledge and Smart Technology, KST 2021
Y2 - 21 January 2021 through 24 January 2021
ER -