BCG heart rate extraction method and system based on fuzzy pattern recognition

Abstract

The invention provides a BCG heart rate extraction method and system based on fuzzy pattern recognition. The method includes the steps that BCG wave signals are sampled to obtain one-dimensional BCG data; modulus maximum processing is carried out on the one-dimensional BCG data to obtain the positions of all effective extreme points in the one-dimensional BCG data; selecting a point, with the amplitude larger than a preset maximum value, in all the effective extreme points to serve as an inflection point J, wherein an inflection point adjacent to the left side of the inflection point J is a point H, an inflection point adjacent to the right side of the inflection point J is a point N, and an HJN wave group set is constructed; using relative distances between every two of the point H, the point J and the point N in an HJN wave group as a generality judging criteria of the HJN wave group; selecting the HJN wave group, with the generality, in the set in a matched mode to serve as the heart beat occurrence position. The BCG heart rate extraction method and system have no requirement for BCG specific waveforms; periodic operation is carried out; the BCG heart rate extraction method and system are suitable for people of all ages and both sexes; the adaptability is high; the instantaneity is high; the operation amount is small; operation verification is carried out after the heart rate is calculated; erroneous judgment is reduced; and the reliability is high.

Description

Technical field [0001] The invention belongs to the technical field of signal recognition, and relates to a heart rate extraction method, in particular to a BCG heart rate extraction method and system based on fuzzy pattern recognition. Background technique [0002] The heart rate measurement method commonly used in the early days was to use electrodes or sensors to directly contact the human body, which imposed certain constraints on the human body and caused a certain psychological burden on the subjects. Later, a method of measuring the heart rate without sensation by measuring the weak vibration signal generated by the heartbeat to the human body without direct contact with the human body, without the need for electrodes. This measurement method does not require electrodes and does not affect the subjects’ normal life. It provides the possibility for subjects to monitor the working conditions of the heart at home. It is also important for assessing people’s work pressure, fat...

AI Technical Summary

Problems solved by technology

[0005] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a method and system for extracting BCG heart rate based on fuzzy pattern recognition, which is used to solve the need for known prior experiment samples in the existing BCG heart rate extraction technology, and the extraction is accurate. low rate problem

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