광용적맥파 신호를 이용한 수면 중 호흡 추정
Estimation of Respiration Using Photoplethysmograph During Sleep
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초록
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.
Abstract
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.
참고문헌 (8)
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