Heart rate analysis method and system based on heart sound signal

Abstract

The invention discloses a heart rate analysis method and system based on a heart sound signal, and the method comprises the steps: carrying out initial filtering processing of an original heart sound signal through a band-pass filter, and carrying out the time delay of the processed original heart sound signal, and obtaining a heart sound reference signal; defining an adaptive filter and determining a cost function used by the adaptive filter; inputting the processed original heart sound signal and the processed heart sound reference signal into the adaptive filter, and updating a weight vector of the adaptive filter by taking the minimum cost function as a criterion; calculating a weight change vector of the adaptive filter at the current moment, and determining an effective boundary range by using a comparison result between the weight change vector and a set threshold value; screening out a plurality of heart sound segments from the effective boundary range based on a set minimum segment length, and further constructing an effective heart sound signal; conducting envelope extraction on the effective heart sound signal based on a single-degree-of-freedom model, and then calculating heart rate parameters corresponding to the effective heart sound signal. The embodiment of the invention can improve the accuracy of a heart rate measurement result.

Description

technical field [0001] The invention relates to the field of biomedical technology, in particular to a heart rate analysis method and system based on heart sound signals. Background technique [0002] The heart sound signal is an important physiological signal of the human body. A large number of pathological characteristics and physiological information of cardiovascular and cerebrovascular diseases are included in the heart sound signal. Doctors can judge and understand the congenital heart valve damage or blood flow by obtaining the heart sound signal. At present, doctors most often use electronic stethoscopes when diagnosing heart diseases, and then directly listen to the sound from the heart valves to check whether there is any abnormality in the heart, but the heart sound signal measured by this is actually mixed with other lung sounds, chest sounds, and chest sounds. Irrelevant noises such as tissue sounds and environmental noises can easily lead to inaccurate heart r...

AI Technical Summary

Problems solved by technology

At present, doctors most often use electronic stethoscopes when diagnosing heart diseases, and then directly listen to the sound from the heart valves to check whether there is any abnormality in the heart, but the heart sound signal measured by this is actually mixed with other lung sounds, chest sounds, and chest sounds. Irrelevant noises such as tissue sounds and environmental noises can easily lead to inaccurate results of heart rate auscultation

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