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논문 기본 정보

자료유형
학술저널
저자정보
저널정보
대한의용생체공학회 의공학회지 의공학회지 제34권 제3호
발행연도
2013.1
수록면
105 - 110 (6page)

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초록· 키워드

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Respiratory signal is one of the important physiological information indicating the status and function of the body. Recent studies have provided the possibility of being able to estimate the respiratory signal by using a change of PWV(pulse width variability), PRV(pulse rate variability) and PAV(pulse amplitude variability) in the PPG (photoplethysmography) signal during daily life. But, it is not clear whether the respiratory monitoring is possible even during sleep. Therefore, in this paper, we estimated the respiration from PWV, PRV and PAV of PPG signals during sleep. In addition, respiration rates of the estimated respiration signal were calculated through a time-frequency analysis, and errors between respiration rates calculated from each parameter and from reference signal were evaluated in terms of 1 sec, 10 sec and 1 min. As a result, it showed the errors in PWV(1s: 36.38 ± 37.69 mHz, 10s:36.53 ± 38.16 mHz, 60s: 30.35 ± 38.72 mHz), in PRV(1s: 1.45 ± 1.38 mHz, 10s: 1.44 ± 1.37 mHz, 60s: 0.45 ± 0.56mHz), and in PAV(1s: 1.05 ± 0.81 mHz, 10s: 1.05 ± 0.79 mHz, 60s: 0.56 ± 0.93 mHz). The errors in PRV and PAV are lower than that of PWV. Finally, we concluded that PRV and PAV are more effective than PWV in monitoring the respiration in daily life as well as during sleep.

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