Physiological signal interval series-based cardiac function noninvasive detection device

Abstract

The invention provides a physiological signal interval series-based cardiac function noninvasive detection device. The device comprises a sensor module, a physiological signal detection module, an analog-to-digital conversion module and a cardiac function noninvasive detection module which are connected in turn, wherein the sensor module is used for acquiring a physiological signal; the physiological signal detection module comprises an amplifying circuit module, a filtering circuit module and a denoising circuit module; and the cardiac function noninvasive detection module comprises a physiological signal characteristic point extraction module, a preprocessing module, a five-classification histogram and index computation module and a cardiac function evaluation module. The cardiac function of a testee is evaluated by constructing a five-classification histogram from physiological signal interval series and using index physiological signal interval distribution density, and the cardiac function state of the testee can be accurately, noninvasively, conveniently and quantitatively provided.

Description

technical field [0001] The invention relates to a non-invasive detection device for heart function, which belongs to the technical field of detection of cardiovascular system function state. Background technique [0002] Cardiovascular system disease has become the "number one killer" that threatens human life and health worldwide, and its disability and mortality rates rank first. At present, more than 3 million people die from cardiovascular diseases in my country every year, accounting for about 45% of the deaths caused by diseases, and the medical expenses for cardiovascular diseases are as high as 130 billion yuan, causing huge economic losses and social burdens . Data show that the age of onset of heart disease tends to be younger. It is particularly worth noting that young and middle-aged people have become a high-risk group for sudden cardiac death. [0003] To improve the current situation of the prevalence of cardiovascular system diseases, it is necessary to shif...

AI Technical Summary

Problems solved by technology

There are many analysis methods for heart rate variability, which are mainly divided into three categories: time domain, frequency domain and nonlinear analysis methods. Among them, the scatter diagram method is widely used, but because this method is mainly observed by doctors with naked eyes, the analysis results are specific. low sensitivity, and cannot be diagnosed accurately, and is subject to certain limitations in clinical application

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