Extraction method of pulse signal feature points based on second-generation wavelets
A technology of pulse signal and extraction method, applied in the direction of catheter, etc., can solve the problems of high hardware realization difficulty, inability to realize real-time processing and detection, and complicated calculation.
Inactive Publication Date: 2012-07-11
华韵之 +2
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[0006] The technical problem to be solved by the present invention is that, in view of the disadvantages of complex calculations, cumbersome preprocessing steps, inability to realize real-time processing and detection, and high difficulty in hardware implementation of the extraction method of pulse signal feature points in the prior art, it provides a method with reduced computational complexity. , No need for preprocessing steps, easy hardware implementation and real-time processing and detection based on the second-generation wavelet-based pulse signal feature point extraction method
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[0053] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0054] see figure 1 , figure 1 It is a schematic diagram of a typical pulse signal; in practical applications, the four points a, b, c and d shown in the illustration are usually selected as feature points. Among them, point a is the starting point of a single wave, which marks the beginning of the rapid ejection period of the heart, and mainly reflects the pressure and volume in the arterial vessel at the end of systole. Point b is the main wave peak, and the rising speed of its ascending branch is mainly related to cardiac output, ventricular ejection velocity, arterial resistance and vessel wa...
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The invention relates to a processing method of pulse signals and provides an extraction method of pulse signal feature points based on second-generation wavelets, wherein the method comprises disintegrating the pulse signals based on the second-generation wavelets and extracting the pulse signal feature points based on a module maximum value method. According to the invention, the process of disintegrating the pulse signals based on the second-generation wavelets is capable of effectively reducing the computation complexity at the same time of reducing the hardware realization difficulty, convenient for realizing the extraction method of the pulse signal feature points of the invention on an embedded platform; and the process of extracting the pulse signal feature points based on the module maximum value method is capable of precisely extracting the pulse signal feature points in the extraction process, capable of deleting targeted error detection points and false detection points as well as compensating leaked detection points, reducing error detection rate and false detection rate. The method of the invention is capable of precisely extracting the pulse signal feature points based on effectively reducing the computation complexity, realizing convenience and high accuracy rate.
Description
technical field [0001] The invention belongs to the field of physiological signal processing, and relates to a pulse signal processing method, more specifically, to a second-generation wavelet-based extraction method of pulse signal feature points. Background technique [0002] The pulse signal is an important detectable physiological signal in the dynamic process of the circulatory system, and it is one of the most sensitive and reliable information sources for human activities. Wherein, as the single-wave starting point, the main wave peak, the dicrotic wave trough and the dicrotic wave peak (respectively as figure 1 Points a, b, c and d shown), its amplitude and position can further reflect the functional status of the cardiovascular system. For example, the amplitude of the main wave peak can reflect the ejection function of the left ventricle and the compliance of the aorta, and the dicrotic wave peak can reflect the size of peripheral resistance. Therefore, from the ...
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Inventor 纪震刘媛
Owner 华韵之