本文展示了估价心率改变的付里叶变换技术的选择。该系统对R-R时间间隔数据(ECG的两个R波之间的间隔)进行处理。首先,通过重组异常间隔探测伪迹并加以校正。然后,通过鉴定作为“峰”和“谷”的连续R-R波时间梯度的改变,识别最高频率改变。从较高频率峰值的改变测定出较低频率的改变。变化周期作为两峰之间的间隔总和来计算,进而通过峰谷差表示变化范围。对于所给出的频率范围内的变化,做为在该范围内所有变化的中间值进行定量分析。通过峰/谷方法估计的呼吸频率变化与光谱技术获取的结果高度相关,但两 This article shows the choice of Fourier transform techniques for evaluating heart rate changes. The system processes R-R interval data (the interval between two R waves of the ECG). First, the artifacts are detected and corrected by reorganizing the anomalous intervals. The highest frequency change is then identified by identifying changes in the time gradient of successive R-R waves as “peaks” and “valleys.” The lower frequency change was determined from the change of the higher frequency peak. The period of change is calculated as the sum of the intervals between the two peaks, and the range of variation is indicated by the difference between the peaks and valleys. For the changes in the given frequency range, a quantitative analysis was done as an intermediate value for all changes in this range. The changes in respiratory rate estimated by the peak / valley approach are highly correlated with the results obtained with spectroscopy, but two