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Method for identifying untypical wave crests and wave troughs of pulse wave

A recognition method and pulse wave technology, applied in the direction of catheters, etc., can solve the problems of missed recognition of atypical peaks, ineffective recognition, misrecognition, etc., to achieve the effect of improving the speed of recognition and avoiding inaccurate recognition.

Inactive Publication Date: 2013-06-12
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method overcomes the shortcomings of method 1, which is too sensitive to identify peaks and valleys. However, this method cannot effectively identify such figure 2 The atypical peaks and troughs similar to the "step" shape are shown, because the peaks and troughs of the "step" shape are not necessarily extreme values ​​in the left and right areas
Therefore, this method is likely to cause missed and misidentified atypical peaks
[0007] It can be seen that the current traditional extreme value identification method is not suitable for the identification of pulse wave peaks and troughs.

Method used

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  • Method for identifying untypical wave crests and wave troughs of pulse wave
  • Method for identifying untypical wave crests and wave troughs of pulse wave
  • Method for identifying untypical wave crests and wave troughs of pulse wave

Examples

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Embodiment 1

[0053] The present invention is a kind of identification method of pulse wave atypical peak and valley, see figure 1 , including the following steps:

[0054] A. Input a set of pulse wave data. It is required that the data contains no less than 3 pulse wave periods. In this example, the input pulse wave data has a total of N=9381 data points, and the data contains no less than 3 pulse wave periods. , specifically 44.

[0055] B. Identify and extract a typical period of the pulse wave, which specifically includes the following steps:

[0056] 2.1. Let n=n 0 , n 0 =round(0.4f 0 ), where f 0 is the sampling frequency of the pulse sensor, and the function round(x) means rounding x to an integer. In this example f 0 =233,n 0 =93;

[0057] 2.2. Compare the ordinate of the nth data point with the size of the ordinate of the 92 data before it and the 92 data after it. If the ordinate of the data is the minimum value, record the n value at this time, and then set n =n+jump, ...

Embodiment 2

[0076] The method for identifying peaks and valleys based on data transformation is the same as that in Embodiment 1.

[0077] The original pulse wave data input in this example only contains 5 pulse wave cycles. Compared with Example 1, the data volume is much smaller, and the data includes step-shaped atypical tidal waves, falling middle waves, and dicrotic waves. Select parameter n0 =85, jump=65, start=6, scale=6 to identify atypical peaks and valleys, and the position of i in the identification process is obtained by taking the median. The typical period length of the recognized pulse wave is 223, and the main wave, tidal wave, descending middle wave and dicrotic wave are correctly recognized by using the present invention, and the effect is very good. This example illustrates that the present invention has very low requirements on the amount of input data.

Embodiment 3

[0079] The method for identifying peaks and valleys based on data transformation is the same as that in Embodiment 1.

[0080] The peaks and troughs in the original pulse wave data input in this example are already typical peaks and troughs, excluding step-shaped peaks and troughs, the parameter n is selected 0 = 90, jump = 70, start = 8, scale = 8 to identify atypical peaks and valleys, and the typical cycle length of the recognized pulse wave is 214. Using the present invention, the main wave, tidal wave, descending middle wave, and heavy wave are correctly identified. Bobo. This example shows that the data conversion method adopted in the present invention will not affect the identification of typical peaks and valleys, and can correctly identify typical peaks and valleys.

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Abstract

The invention discloses a method for identifying irregular wave troughs of a pulse wave signal, belonging to the technical field of pulse wave signal identification. The method comprises the following steps of: identifying one section of input pulse signal and extracting one typical pulse wave period; intercepting data of a declining branch part in the typical period, and carrying out vertical coordinate transformation to convert the traditional stepped untypical wave crests and wave troughs into typical wave crests and wave troughs and further identify the positions of maximum values and minimum values of the transformed data; and finally, amending the positions of the identified maximum values according to data which are not transformed, and marking the positions of the finally-identified wave crests and wave troughs of pulse wave and outputting the positions for analysis. According to the method disclosed by the invention, the missed identification and mistaken identification of a pulse condition analytical instrument on untypical wave crests and wave troughs can be solved, the stepped untypical wave crests and wave troughs can be effectively identified and new hardware equipment is prevented from being modified or added; and the method is particularly suitable for the traditional pulse condition analysis instrument.

Description

technical field [0001] The invention belongs to the technical field of pulse wave signal identification, and relates to a method for extracting pulse wave data features, in particular to the identification of irregular peaks and valleys in which the peaks and valleys in the pulse wave signal are in the shape of "steps", specifically a method for identifying peaks and valleys. A method for identifying atypical peaks and valleys of pulse waves. The present invention can be used in existing pulse condition analysis equipment without refitting or adding new hardware equipment. Background technique [0002] TCM pulse diagnosis is an important method of TCM diagnosis, but the traditional TCM pulse diagnosis method has the characteristics of "clear in the heart, difficult to explain", which is not easy to be objective and fair. In order to make TCM pulse diagnosis objective, relevant scholars have done a lot of research, such as using pulse sensors to collect pulse information, us...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/02
Inventor 曾祥云赵连锋袁念德蔡觉平
Owner XIDIAN UNIV
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