Method for detecting heart diseases based on multi-scale entropy

Abstract

The invention provides a method for detecting heart diseases based on multi-scale entropy. Firstly, original electrocardiosignals are put into a band-pass filter to filter away partial noise, then amplification is carried out by using signal differentiation and square methods to obtain magnified signals of R wave features, an R wave position is marked by using a dynamic threshold adjusting method,and RR interphase sequences of the electrocardiosignals are obtained; according to the RR interphase sequences of the electrocardiosignals, empirical mode decomposition is carried out, the signals are extended, then the electrocardiosignals are decomposed by constructing upper and lower envelope lines of the signals to obtain IMF components, and eigenfunction signals of the electrocardiosignals of healthy persons and patients with the heart diseases are obtained; the multi-scale entropy of the eigenfunction signals is calculated through the IMF components, the eigenfunction signals of the electrocardiosignals of the healthy persons and the patients with the heart diseases are classified by using a classification function of a support vector machine, and the electrocardiosignals of the healthy persons and the patients with the heart diseases are distinguished. The method for detecting the heart diseases based on the multi-scale entropy can timely detect the healthy condition of the heart and is conductive to knowing disease principles.

Description

technical field [0001] The invention relates to the field of biomedical engineering, in particular to a heart disease detection method based on multi-scale entropy. Background technique [0002] In today's increasingly accelerated pace of life, cardiovascular disease has always been an important factor affecting people's health. According to surveys by relevant organizations, the mortality rate of cardiovascular diseases has surpassed that of cancer for many years, ranking first among all diseases. Among them, in our country, the death of cardiovascular disease accounted for 44.6% of the total death of rural residents, accounting for 42.52% of the total death of urban residents. It is reported that the number of people suffering from cardiovascular disease in our country is close to 300 million. With the intensification of my country's population aging, the acceleration of urbanization and the change of people's living standards (such as obesity or high blood pressure caus...

AI Technical Summary

Problems solved by technology

But only by manually analyzing ECG signals to diagnose heart disease, not only increases the burden on doctors, but also inconvenient for patients

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