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Weibull function-based pulse wave fitting method

A Weibull function and pulse wave technology, applied in the field of pulse wave fitting based on Weibull function, can solve problems such as poor results, improve the goodness of fit, reduce the number of data, and have the effect of universality

Pending Publication Date: 2022-02-08
SUN YAT SEN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Some studies use the lognormal function to fit the pulse wave. The lognormal function is an asymmetric function that matches the asymmetry of the pulse wave. Therefore, in terms of goodness of fit, it is better to use the Gaussian function The way of fitting has been significantly improved, but at the same time, the problem with this function for pulse wave waveform fitting is that most of the range covered by its parameters, the peak of the constructed logarithmic normal curve has a strong leftward slope characteristics, but the slope of the main peak wave in pulse wave physiology is not so obvious, so the fitting effect of this method is not good

Method used

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  • Weibull function-based pulse wave fitting method

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Embodiment

[0041] by figure 1 As an example, the pulse wave data is divided into a set of single-period pulse wave data sets in the unit of heartbeat cycle, and the fitting equation composed of three two-parameter Weibull functions or three three-parameter Weibull functions is used for the data The set is fitted to obtain the values ​​of the six or nine parameters of the Weibull function.

[0042] Such as figure 2 As shown, the solid line is the fitted curve, the big dots are the original data, and the small dots, positive signs, and asterisks represent the Weibull function of the first term, the Weibull function of the second term and the Weibull function of the third term respectively The waveform of the function has three sub-functions in total. The goodness of fit of the fitted curve is 0.9944.

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Abstract

The invention discloses a Weibull function-based pulse wave fitting method, which comprises the following steps: truncating data, namely cutting and dividing acquired human body radial artery pulse wave data by taking a pulse cycle as a unit to obtain a data set of single-cycle pulse waves; and fitting the pulse wave data by using a two-parameter or three-parameter Weibull function mode. The invention has the beneficial effects that the fitting function, namely the Weibull function, suitable for each wavelet of the pulse wave is selected according to the shape of the pulse wave; according to the method, the goodness of fit can be remarkably improved, the number of data which cannot be fitted is remarkably reduced, and meanwhile, the method has universality.

Description

technical field [0001] The invention belongs to the field of computational mathematics, and in particular relates to a pulse wave fitting method based on a Weibull function. Background technique [0002] Pulse wave measurement is a very important method in Chinese and Western medicine. It is a summary of long-term medical practice experience and is widely used in the medical field and the family market. Certain features of pulse wave signals can be used as important indicators of certain diseases. At present, clinical workers mainly rely on the radial artery pulse wave to judge the health status of the cardiovascular system. [0003] The analysis method of pulse wave develops with the development of mathematics, biomechanics and engineering, and the fitting method of pulse wave signal is the key item in this research field. [0004] In existing research, a mathematical model synthesized by multiple Gaussian functions (bell-shaped waves) is usually used to fit the pulse wav...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/02G06F17/15
CPCA61B5/02007G06F17/15
Inventor 陈振东宫凯凤彭勃谢晓华
Owner SUN YAT SEN UNIV
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