Pulse wave signal feature point detection method based on waveform time domain features

Abstract

The invention provides a pulse wave signal feature point detection method based on waveform time domain features. The mode that the interval of analyzing waveform is gradually decreased is adopted, the positions of feature points in pulse wave signals are determined by combining a differential algorithm with a wavelet transform algorithm on the basis of the waveform time domain features of the pulse wave signals in the analyzing process, therefore, unnecessary interference can be effectively removed, the signal features are amplified, the accuracy of pulse wave signal feature point detection is improved, and the recognition accuracy for the condition that tidal waves or dicrotic waves in pulse wave waveforms are not obvious is high. According to the pulse wave signal feature point detection method based on the waveform time domain features, detection of a computer on the pulse wave signal feature points is achieved, the workload of clinicians is reduced, the defect of manual detection errors is overcome, and a technological base is supplied to automatic calculation and acquisition of clinical pulse wave information by computer equipment and research and development of continuous non-invasive blood pressure detection equipment.

Description

technical field [0001] The invention relates to the fields of physiological signal acquisition technology and digital signal analysis technology, in particular to a pulse wave signal feature point detection method based on waveform time-domain features. Background technique [0002] The rhythmic contraction and relaxation of the heart injects blood into the arterial vessel. Since the vessel is an elastic cavity, the blood flows into the vessel to form a pulse wave. The pulse wave signal waveform is composed of ascending branch and descending branch. Generally, according to the various processes of heart ejection and blood propagation in blood vessels, it can be considered that each beat signal in the pulse wave signal has seven characteristic points, such as figure 1 As shown, they are the starting point of the pulse wave beat (usually marked as a), the opening point of the aorta (usually marked as b), the peak point of the main peak (usually marked as c), the tidal wave tro...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies in the prior art, the present invention proposes a pulse wave signal feature point based on the waveform time domain feature in order to solve the problem that the pulse wave signal has strong specificity and is easily interfered by various factors. The detection method, which is based on the waveform time domain characteristics of the pulse wave signal, combines the differential and wavelet transform algorithms to determine the position of the feature points in the pulse wave signal, so as to improve the recognition accuracy of the feature points in the pulse wave signal and help expand the pulse wave signal. The scope of application of wave signal feature point recognition technology is automatic detection of computer equipment, acquisition of feature information in pulse wave signals and continuous blood pressure non-invasive detection Assume Provide a favorable technical basis for equipment research and development

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