지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Most sleep apnea patients exhibit severe snoring, and long-lasting sleep apnea may cause insomnia, hypertension, cardiovascular diseases, stroke, and other diseases. Although polysomnography is the typical sleep diagnostic method to accurately diagnose sleep apnea by measuring a variety of bio-signals that occur during sleep, it is inconvenient as the patient has to sleep with attached electrodes at the hospital for the diagnosis. In this study, a diagnostic pillow is designed to measure respiration, heart rate, and snoring during sleep, using only one polyvinylidene fluoride (PVDF) sensor. A PVDF sensor with piezoelectric properties was inserted into a specially made instrument to extract accurate signals regardless of the posture during sleep. Wavelet analysis was used to identify the extractability and frequency domain signals of respiration, heart rate, and snoring from the signals generated by the PVDF sensor. In particular, to separate the respiratory signal in the 0.2~0.5 Hz frequency region, wavelet analysis was performed after removing 1~2 Hz frequency components. In addition, signals for respiration, heart rate, and snoring were separated from the PVDF sensor signal through a Butterworth filter and median filter based on the information obtained from the wavelet analysis. Moreover, the possibility of measuring sleep apnea from these separated signals was confirmed. To verify the usefulness of this study, data obtained during sleeping was used.
목차
등록된 정보가 없습니다.
참고문헌 (7)
참고문헌 신청
S. Javaheri / 2017 / Sleep Apnea : Types, Mechanisms, and Clinical Cardiovascular Consequences / Journal of the American College of Cardiology 69(7):841~858
S. Choi / 2006 / A novel wearable sensor device with conductive fabric and PVDF film for monitoring cardiorespiratory signals / Sens. Actuators. A 128(2):317~326
A. Vehkaoja / 2015 / Effects of sensor type and sensor location on signal quality in bed mounted ballistocardiographic heart rate and respiration monitoring / Proc. Of 37th Annu. Int. Conf. of IEEE Engineering in Medicine and Biological Society :4383~4386
I. Mahbub / 2017 / A low power wearable respiration monitoring sensor using pyroelectric transducer / Conf. of U. S. Natl . Comm. of URSI Natl
V. K. Nithya / 2016 / Design of a MEMS sensor for sleep apnea detection / 10th Int. Conf. on Intelligent systems and Control :1~5
S. Choi / 2006 / A novel wearable sensor device with conductive fabric and PVDF film for monitoring cardiorespiratory signals / Sens. Actuators. A 128(2):317~326
A. Vehkaoja / 2015 / Effects of sensor type and sensor location on signal quality in bed mounted ballistocardiographic heart rate and respiration monitoring / Proc. Of 37th Annu. Int. Conf. of IEEE Engineering in Medicine and Biological Society :4383~4386
I. Mahbub / 2017 / A low power wearable respiration monitoring sensor using pyroelectric transducer / Conf. of U. S. Natl . Comm. of URSI Natl
V. K. Nithya / 2016 / Design of a MEMS sensor for sleep apnea detection / 10th Int. Conf. on Intelligent systems and Control :1~5
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