Modification method for uneven pulse wave data base line
A data correction and pulse wave technology, which is applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of uneven pulse wave data baseline and pulse acquisition instrument data baseline inequality, so as to solve the drift and expansion of the baseline. Use and scope of application, the effect of addressing uneven data baselines
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Embodiment 1
[0054] The present invention is a method for correcting the uneven pulse wave data baseline. The HK2000H type pulse sensor is used to collect the original data, and the present invention is used to correct the uneven pulse wave data baseline. See figure 1 , the specific steps are as follows:
[0055] A. Input the raw pulse data collected by the pulse sensor (x j ,y j ), the data contains not less than 3 pulse wave cycles, in this example the input pulse wave data contains 5 complete pulse cycles, see image 3 , the baseline of the data is uneven: in the first 800 data areas, the data baseline has an arched upward trend, which is very unfavorable for further analysis of the pulse information of traditional Chinese medicine contained in the pulse signal;
[0056] B. Identify and divide the pulse wave cycle contained in the original pulse data. The division of each pulse wave cycle takes the end of the descending branch of each cycle as the demarcation point. The demarcation p...
Embodiment 2
[0068] The method for correcting the uneven baseline of the pulse wave data is the same as in Embodiment 1, wherein the piecewise cubic spline interpolation method is used for the case of a large amount of data.
[0069] The pulse wave baseline correction method based on the piecewise cubic spline interpolation method is as follows:
[0070] A. In this example, a long period of pulse wave data with uneven baseline is input, including 33 cycles;
[0071] B. identify and divide the method for the pulse wave cycle that comprises in the original pulse data with example 1, obtain this section data and comprise N=33 pulse wave cycle altogether, and the minimum value point (xc) of each pulse wave in the original data i ,yc i ), (i=1, 2, . . . , 21). The identification and classification results are as follows Figure 6 shown;
[0072] C. Because N≥7, skip step C and go directly to step D;
[0073] D. Since N≥7, use the piecewise cubic spline interpolation method to correct the d...
Embodiment 3
[0087] The method for correcting the uneven baseline of the pulse wave data is the same as that in Embodiment 1, wherein a cubic polynomial fitting method is used for the case of a small amount of data.
[0088] The original pulse wave data input in this example is very short, only N=3 pulse wave periods, and its baseline has a tendency to slope upward to the right. Using the baseline correction method of the present invention, the cubic fitting polynomial is obtained as: P=0.0000x 3 +0.0001x 2 +0.0231x 1 +53.3214x 0 , after discretization, correct the data. The correction effect of the data by using the present invention is very good. This example shows that the present invention is practical, effective and fast for baseline correction of shorter data.
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