title: Real-time continuous estimation of respiratory frequency during sleep based on heart rate time series.
abstract: It is reported that frequency component (RSA) of approximately 0.25Hz of heart rate time series is corresponding to the respiratory frequency. In this paper, we proposed the continuous estimation method of respiratory frequency during sleep using the number of extreme points of heart rate time series in real time. Procedure for calculation of the method is very simple. Frequency of RSA was calculated using the proposed method from the heart rate time series during supine rest and during sleep. It is considered that the proposed method can be applied to respiratory monitoring system during sleep.
authors.affiliation: Graduate School Business Administratin and Computer Science, Aichi Institute of Technology, Japan. sibainu@xf7.so-net.ne.jp
authors.forename: Yutaka
authors.initials: Y
authors.lastname: Yoshida
authors.forename: Kiyoko
authors.initials: K
authors.lastname: Yokoyama
authors.forename: Naohiro
authors.initials: N
authors.lastname: Ishii
mesh_terms: D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008954:Models, Biological; D008991:Monitoring, Physiologic; D012119:Respiration; D012890:Sleep / Q000502:physiology*