Heart rate determination method and device based on ballistocardiogram signal

Abstract

The invention relates to a heart rate determination method and device based on a ballistocardiogram signal. The method comprises the steps of preprocessing the ballistocardiogram signal in a sampling sequence; carrying out extreme point detection on the preprocessed ballistocardiogram signal to obtain a plurality of extreme points; determining a corresponding amplitude threshold for each extreme point in the sampling sequence, and if the amplitude threshold is greater than the amplitude of the corresponding extreme point, determining that the corresponding extreme point is a noise point, and removing the corresponding extreme point; and determining a heart rate value according to each extreme point of which the noise points are removed in the sampling sequence. According to the method, a dynamic threshold algorithm is adopted, the mode can better adapt to the ballistocardiogram signals which dynamically change at any time, the detection accuracy of the J-wave peak can be improved, and therefore the accuracy of heart rate calculation is improved. In addition, compared with the prior art, the method has the advantages that the related parameters are few, excessive parameters are not needed, the calculation complexity is low, the calculation time is short, the delay is short, and real-time monitoring of the heart rate is facilitated.

Description

technical field [0001] The present invention relates to the technical field of heart rate calculation, in particular to a method and device for determining heart rate based on cardiac shock signals. Background technique [0002] Cardiac shock (ballistocardiogram, BCG for short) signal is the change of the external pressure of the human body caused by the beating of the heart and the blood circulation of the aorta, and can be used for non-contact heart activity detection. Compared with the existing cardiovascular detection methods, cardiac impact signals can be collected in a non-interfering and non-contact manner, and measured from the surface of the human body without constraints. The detection device can also be designed on a bed or chair. Compared with other cardiovascular detection technologies, BCG signal detection has the advantages of non-invasive, non-disturbance, no direct contact and convenient detection. In recent years, with the development of sensors and digita...

AI Technical Summary

Problems solved by technology

Commonly used J-wave peak detection methods include threshold method, pseudo-periodic method, adaptive template matching method, etc. These methods have long calculation time, large time delay, and high algorithm complexity, which are not conducive to real-time monitoring of BCG signal heart rate.

And the detection effect is poor, resulting in inaccurate heart rate calculation

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