PVDF 필름 기반 센서를 이용한 정상인 및 폐쇄성 수면무호흡증 환자에서의 무구속적인 렘 수면 모니터링
Unconstrained REM Sleep Monitoring Using Polyvinylidene Fluoride Film-Based Sensor in the Normal and the Obstructive Sleep Apnea Patients
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초록
In sleep monitoring system, polysomnography (PSG) is the gold-standard but previous studies revealedthat attaching numerous amount of sensors disturb sleep during the test which is the fundamental disadvantage ofPSG. We suggest an unconstrained rapid-eye-movement (REM) sleep monitoring method measured with polyvinylidene(PVDF) film-based sensor for the normal and the obstructive sleep apnea (OSA) patients. Nine normal subjectsand seventeen OSA patients have participated in the study. During REM sleep, rate and variability of respirationare known to be greater than in other sleep stages. Based on this phenomena, respiratory signals of participants wereunconstrainedly measured using the PVDF-based sensor with the PSG and REM sleep were extracted from the averagerate and variability of respiration. In epoch-by-epoch REM sleep detection, proposed method classified REM sleepwith an average sensitivity of 72.3%, specificity of 92.5%, accuracy of 88.9%, and kappa statistic of 0.60 compared tothe results of PSG. Student’s t-test showed no significant difference between the results of normal and OSA group. This method is potentially applicable to REM sleep detection in homing environment or ambulatory monitoring.
Abstract
In sleep monitoring system, polysomnography (PSG) is the gold-standard but previous studies revealedthat attaching numerous amount of sensors disturb sleep during the test which is the fundamental disadvantage ofPSG. We suggest an unconstrained rapid-eye-movement (REM) sleep monitoring method measured with polyvinylidene(PVDF) film-based sensor for the normal and the obstructive sleep apnea (OSA) patients. Nine normal subjectsand seventeen OSA patients have participated in the study. During REM sleep, rate and variability of respirationare known to be greater than in other sleep stages. Based on this phenomena, respiratory signals of participants wereunconstrainedly measured using the PVDF-based sensor with the PSG and REM sleep were extracted from the averagerate and variability of respiration. In epoch-by-epoch REM sleep detection, proposed method classified REM sleepwith an average sensitivity of 72.3%, specificity of 92.5%, accuracy of 88.9%, and kappa statistic of 0.60 compared tothe results of PSG. Student’s t-test showed no significant difference between the results of normal and OSA group. This method is potentially applicable to REM sleep detection in homing environment or ambulatory monitoring.
참고문헌 (19)
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