心拍変動時系列からの呼吸関連パラメータの推定

概要

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The heart rate time series contains two main rhythms : RSA (respiratory sinus arrhythmia), which is synchronous with the respiration rate, and the Mayer wave, which is generally centered around 0.1Hz. The purpose of this study is the estimation of respiratory variability, such as the variation in respiratory frequency or amplitude, from the RSA time series. To calculate the time series of RSA power and RSA frequency, a wavelet transform was applied to the R-R interval time series. There was a significant correlation between the average frequency of RSA and the average respiratory frequency (r=0.94, p<0.01). The correlation coefficient of the standard deviation of RSA amplitude and the standard deviation of the respiratory amplitude time series was 0.79 (p<0.01). The dominant frequency of the RSA amplitude and that of the respiratory amplitude were equal within the error range of ±0.02Hz. There is a possibility that the respiratory variability, such as the respiratory frequency or amplitude, can be estimated from the RSA time series. The heart rate variability, which can be measured by a non-restricted method, is used for long-term monitoring of respiratory time series in daily life.
社団法人日本生体医工学会の論文
2005-09-10