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A Time Domain Feature Extraction Method of Pulse Signal

A technology of time-domain features and extraction methods, used in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as unfavorable and accurate identification, and achieve the effect of improving efficiency and accuracy

Active Publication Date: 2011-12-28
WUHU SHENGMEIFU TECH
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Problems solved by technology

The zero-crossing method of wavelet transform will produce multiple feature points, which is not conducive to accurate identification. We should seek to use wavelet denoising to achieve better feature extraction results

Method used

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  • A Time Domain Feature Extraction Method of Pulse Signal
  • A Time Domain Feature Extraction Method of Pulse Signal
  • A Time Domain Feature Extraction Method of Pulse Signal

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Embodiment Construction

[0026] Before the present invention is described, at first introduce various pulse condition parameter physiological meanings:

[0027] ①Ascending branch: an ascending curve from the baseline to the peak of the main wave in the pulse image, which is the period of rapid ejection of the ventricle.

[0028] ②Descending branch: a descending curve from the peak of the main wave to the baseline in the pulse image, which is from the late period of ventricular ejection to the beginning of the next cardiac cycle.

[0029] ③Main wave: The amplitude of the main body of the pulse diagram. Generally, the apex is the highest peak of the pulse diagram, reflecting the maximum pressure and volume in the artery.

[0030] ④ tidal wave: also known as the dicrotic wave, located in the descending branch, after the main wave, generally lower than the main wave and higher than the dicrotic wave, reflecting the left ventricle

[0031] Stop ejection, arterial dilation and blood pressure reduction, rev...

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Abstract

The invention relates to a pulse condition signal time domain feature extraction method, which belongs to the technical field of pulse condition measurement in the traditional Chinese medical science, and comprises the steps of: carrying out wavelet transformation on collected pulse condition signals, eliminating high-frequency noise, rebuilding signals, and obtaining the pulse condition signals subjected to the high-frequency noise elimination; extracting base lines, eliminating base line drift and realizing pulse condition signal preprocessing; calculating first-order derivative of the preprocessed pulse condition signals, finding the maximum value in each section of pulse condition signals and positioning the ascending branch of each estimated pulse condition period; determining the pulse condition period for each section of pulse condition signals; and finding dicrotic notches E and dicrotic waves F. The extraction method can improve the pulse condition signal time domain feature extraction efficiency and accuracy.

Description

technical field [0001] The invention belongs to the technical field of pulse condition measurement in traditional Chinese medicine, and relates to a method for extracting pulse condition signal features. Background technique [0002] At present, the main methods used in the time-domain feature extraction of pulse signal are: threshold method and extreme point method, smoothing filter and wavelet transform, etc. [0003] The threshold value method refers to determining the value range of the pulse condition feature points according to the maximum and minimum values ​​of the pulse condition waveform, and then combining the paired extreme points to determine the characteristic points of the pulse condition waveform. This threshold method cannot accurately determine the range of feature points for pulse conditions with large fluctuations. At the same time, when using the extreme point method to find feature points, the amount of calculation is relatively large, and when there ar...

Claims

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Application Information

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IPC IPC(8): A61B5/00
Inventor 王联周鹏李想
Owner WUHU SHENGMEIFU TECH
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