Method for estimating heart rate variation

Abstract

The invention discloses a method for estimating heart rate variation. The method comprises the following steps: a, a heart rate measuring instrument is utilized to collect accident-generating signals; b, a voting method is utilized to reconstruct a heartbeat interval in a sampling interval; c, the heartbeat interval is reconstructed in another sampling interval, the two sampling intervals have a stacking interval, and the heartbeat intervals in the two sampling intervals can be connected in series by shared accidents in the stacking interval; d, the step c is repeated until a heartbeat interval sequence with a preset time duration is formed by serial connection; and e, the heart rate variation is calculated by the heartbeat interval sequence obtained in the step d. The method for estimating the heart rate variation can be matched with a uni-lead heart rate measuring instrument for heart rate measurement, utilizes a majority decision voting process to filter noise and can be connected with a heartbeat interval with a preset time duration in series by a Window staking mechanism to further calculate the heart rate variation.

Description

technical field [0001] The invention relates to a method for estimating heart rate variation, in particular to a method for estimating heart rate variation with high accuracy. Background technique [0002] With the change of life style, chronic diseases rank among the top in the death rate of Chinese people, and the social and economic problems derived from them make it more important to reduce the incidence of chronic diseases. Monitoring physiological conditions through various instruments has also been practiced for many years, and among various physiological parameters, heart rate variability (HRV) is a major indicator reflecting physiological conditions. [0003] Heart rate variability analysis is a method for measuring the degree of change in continuous heartbeat rate. It is calculated on the basis of heartbeat intervals (the interval between adjacent heartbeats). It is mainly to analyze the sequence of continuous heartbeat intervals obtained by electrocardiogram or pu...

AI Technical Summary

Problems solved by technology

[0005] Accurate heart rate variability measurement requires the use of digital signal processing-type single-lead or multi-lead heart rate measuring instruments, but such instruments are expensive, require high power, and the user's movement is easily restricted after wearing them; while analog single-lead The price of the heart rate measuring instrument is relatively low, the power demand is low, and it does not affect the actions of the user after wearing it. It is a more feasible method, but it cannot effectively avoid the generation of noise

Images