Method and device for detecting heart failure based on electro-cardio interval sequence normalization histogram

Abstract

The invention provides a heart failure detection method based on an electrocardio-interval sequence normalized histogram and a device thereof. The detection method comprises the following steps: (1) electrocardiosignals of a testee are collected; (2) the analog-digital conversion is carried out on the electrocardiosignals, and electrocardio-waveform data are stored; (3) R wave peak value points of the electrocardiosignals are extracted to construct an electrocardio-interval sequence RR; (4) the effectiveness of the RR sequence is tested; (5) the RR electrocardio-interval sequence normalized histogram is constructed; (6) two specific indexes of center-edge rate (CER) and cumulative energy (CE) of the normalized histogram are calculated; (7) the heart failure course of the testee is evaluated according to the indexes of CER and CE. The detection device comprises an electrocardiosignal detection module, an analog-digital conversion device and a computer. Based on the two specific indexes of CER and CE of the electrocardio-interval sequence normalized histogram, the heart failure course of the testee is evaluated, the heart failure course of the testee can be detected noninvasively, conveniently and quantitatively, and the discrimination index is high.

Description

technical field [0001] The invention relates to a heart failure detection method and device based on the normalized histogram of the ECG interval sequence, in particular to a method and device for non-invasive detection of the heart failure course of the subject, belonging to the technical field of cardiovascular system functional state detection . Background technique [0002] At present, heart failure has become a common cardiovascular disease that endangers people's health. Traditional heart failure detection methods include: electrocardiogram, echocardiography, radionuclide contrast, X-ray detection, B-type natriuretic peptide test (BNP), etc., but these methods do not have the characteristics of early, simple and non-invasive detection of heart failure . [0003] The development process of heart failure can be divided into the compensation period and the decompensation period of cardiac function. No matter in the compensation period or the decompensation period, the i...

AI Technical Summary

Problems solved by technology

Most linear analysis methods have low specificity and are sensitive to external noise

The scatter diagram analysis method mainly relies on the naked eye observation of doctors to obtain some qualitative or semi-quantitative indicators. The physical meaning of the indicators is not very clear, and it is difficult to make an accurate diagnosis.

Other nonlinear analysis methods have shown their theoretical value from different aspects, but there is still a gap from clinical application

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