A method for evaluating the consistency of the output pulse waveform of a photodetector based on an electro-optical sampling system
By normalizing and preprocessing the output pulse waveform of the photodetector, and using the Pearson correlation coefficient and root mean square error calculation method, the problem of consistency evaluation of the output pulse waveform of the photodetector in the electro-optic sampling system was solved, and the consistency evaluation of the measurement results of the photodetector was realized.
Patent Information
- Application Number
- CN202411403783.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-09
- Publication Date
- 2025-11-07
- Estimated Expiration
- 2044-10-09
AI Technical Summary
There is a lack of methods in the existing technology to evaluate the consistency of the output pulse waveform of the photodetector measured by the electro-optic sampling system.
By normalizing and preprocessing the output pulse waveform of the photodetector, and using the Pearson correlation coefficient and root mean square error calculation methods, the amplitude and time consistency of the pulse waveform are evaluated.
This enables consistent and accurate analysis and evaluation of the output pulse waveform results of the photodetector, thereby improving the reliability of the photodetector measurement results.
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Figure CN119164502B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of electro-optical sampling, and particularly relates to a method for evaluating consistency of output pulse waveform measurement results of a photodetector based on an electro-optical sampling system. BACKGROUND
[0002] The photodetector is a core device for converting optical signals into electrical signals, and is widely used in communication systems and microwave photon systems.
[0003] At present, with the increase of signal transmission rate, the working bandwidth of the photodetector has broken through 100 GHz and reached the terahertz level. After being excited by a femtosecond laser, the photodetector generates a pulse waveform, that is, a time-domain response of the photodetector. Accurate measurement and calibration of the time-domain response of the photodetector can more intuitively reflect the edge change of the output electrical signal of the photodetector with different working bandwidths and the response result of the photodetector to different forms of input excitation signals. The electro-optical sampling system can excite the photodetector to generate a pulse waveform, and accurately measure and calibrate the waveform.
[0004] At present, there is no evaluation method for the consistency of the output pulse waveform results of the photodetector measured by the electro-optical sampling system. SUMMARY
[0005] The present application aims to provide a method for evaluating the consistency of output pulse waveform measurement results of a photodetector based on an electro-optical sampling system, which analyzes and evaluates the consistency of the output pulse waveform results of the same photodetector measured based on the same or different electro-optical sampling systems.
[0006] To solve the above technical problems, the present application provides a method for evaluating the consistency of output pulse waveform measurement results of a photodetector based on an electro-optical sampling system, comprising the following steps:
[0007] Obtaining a plurality of groups of output pulse waveforms of the photodetector;
[0008] Normalizing the amplitudes of the pulse waveforms, and aligning the peak amplitude time of the pulse waveforms to obtain normalized pulse waveforms;
[0009] Pretreating the normalized pulse waveforms to obtain pretreated pulse waveforms;
[0010] Performing amplitude quantity consistency analysis on the pretreated pulse waveforms to obtain an amplitude quantity consistency evaluation result;
[0011] Performing time quantity consistency analysis on the pretreated pulse waveforms to obtain a time quantity consistency evaluation result.
[0012] Preferably, the normalized pulse waveform is preprocessed to obtain a preprocessed pulse waveform, specifically including the following steps:
[0013] The start time and the end time of all the normalized pulse waveforms are made consistent, and the number of data points and the time interval between data points are made the same, to obtain the preprocessed pulse waveform.
[0014] Preferably, the preprocessed pulse waveform is subjected to amplitude quantity consistency analysis to obtain an amplitude quantity consistency evaluation result, specifically including the following steps:
[0015] The amplitude quantity of the two groups of preprocessed pulse waveforms is obtained;
[0016] According to the amplitude quantity of the preprocessed pulse waveform, the Pearson correlation coefficient and the root mean square error of the amplitude quantity are calculated;
[0017] According to the Pearson correlation coefficient and the root mean square error of the amplitude quantity, the amplitude quantity consistency evaluation result of the two groups of preprocessed pulse waveforms is obtained.
[0018] Preferably, the calculation formula of the Pearson correlation coefficient of the amplitude quantity is:
[0019]
[0020] In the formula, r v is the Pearson correlation coefficient of the pulse waveform amplitude quantity;
[0021] n is the number of pulse waveform amplitude quantities;
[0022] i is the pulse waveform amplitude quantity serial number;
[0023] v 1i is the first group of pulse waveform amplitude quantity data;
[0024] is the mean value of the first group of pulse waveform amplitude quantity;
[0025] v 2i is the second group of pulse waveform amplitude quantity data;
[0026] is the mean value of the second group of pulse waveform amplitude quantity;
[0027] The calculation formula of the root mean square error of the amplitude quantity is:
[0028]
[0029] In the formula, RMSE v is the root mean square error of the pulse waveform amplitude quantity;
[0030] n is the number of pulse waveform amplitude quantities;
[0031] i is the pulse waveform amplitude quantity serial number;
[0032] v 1i is the first group of pulse waveform amplitude quantity data;
[0033] v 2i is the second group of pulse waveform amplitude quantity data.
[0034] Preferably, the Pearson correlation coefficient of the amplitude quantity is between [0, 1], and the closer to 1, the better the consistency of the amplitude quantity of the two groups of pre-processed pulse waveforms;
[0035] The root mean square error of the amplitude quantity is between [0, +∞), and the closer to 0, the better the consistency of the amplitude quantity of the two groups of pre-processed pulse waveforms.
[0036] Preferably, according to the Pearson correlation coefficient and the root mean square error of the amplitude quantity, the consistency evaluation result of the amplitude quantity of the two groups of pre-processed pulse waveforms is obtained, which specifically includes the following steps:
[0037] When the Pearson correlation coefficient of the amplitude quantity is greater than or equal to the Pearson threshold value, and the root mean square error of the amplitude quantity is less than or equal to the root mean square threshold value, it is judged that the amplitude quantity of the two groups of pre-processed pulse waveforms has good consistency.
[0038] Preferably, the time quantity consistency analysis of the pre-processed pulse waveform is performed to obtain the time quantity consistency evaluation result, which specifically includes the following steps:
[0039] For the transition region of the main peak of the two groups of pre-processed pulse waveforms, n amplitude quantities are taken between the amplitude corresponding to the bottom state level and the pulse peak amplitude, and the time quantity of the pre-processed pulse waveform corresponding to the n amplitude quantities is obtained based on the interpolation method;
[0040] According to the time quantity of the pre-processed pulse waveform, the Pearson correlation coefficient and the root mean square error of the time quantity are calculated;
[0041] According to the Pearson correlation coefficient and the root mean square error of the time quantity, the time quantity consistency evaluation result of the two groups of pre-processed pulse waveforms is obtained.
[0042] Preferably, the calculation formula of the Pearson correlation coefficient of the time quantity is:
[0043]
[0044] In the formula, r t is the Pearson correlation coefficient of the pulse waveform time quantity;
[0045] n is the number of pulse waveform time quantities;
[0046] i is the pulse waveform time quantity serial number;
[0047] t 1i is the first group of pulse waveform time quantity data;
[0048] is the first group of pulse waveform time quantity mean value;
[0049] t 2i is the second group of pulse waveform time quantity data;
[0050] is the second group of pulse waveform time quantity mean value;
[0051] The calculation formula of the root mean square error of the time quantity is:
[0052]
[0053] In the formula, RMSE t is the root mean square error of the pulse waveform time quantity;
[0054] n is the number of pulse waveform time quantities;
[0055] i is the serial number of the pulse waveform time quantity;
[0056] t 1i is the first group of pulse waveform time quantity data;
[0057] t 2i is the second group of pulse waveform time quantity data.
[0058] Preferably, the Pearson correlation coefficient of the time quantity is between [0, 1], and the closer to 1, the better the consistency of the time quantity of the two groups of preprocessed pulse waveforms;
[0059] The root mean square error of the time quantity is between [0, +∞), and the closer to 0, the better the consistency of the time quantity of the two groups of preprocessed pulse waveforms.
[0060] Preferably, according to the Pearson correlation coefficient and the root mean square error of the time quantity, the consistency evaluation result of the time quantity of the two groups of preprocessed pulse waveforms is obtained, and the specific steps include the following steps:
[0061] When the Pearson correlation coefficient of the time quantity is greater than or equal to the Pearson threshold value, and the root mean square error of the time quantity is less than or equal to the root mean square threshold value, it is judged that the time quantity of the two groups of preprocessed pulse waveforms has good consistency.
[0062] Compared with the prior art, the beneficial effects of the present application are:
[0063] Through the method of the present application, the consistency of the output pulse waveform result of the photodetector measured based on the electro-optical sampling system can be accurately analyzed and evaluated. BRIEF DESCRIPTION OF DRAWINGS
[0064] The specific embodiments of the present application will be further described in conjunction with the accompanying drawings.
[0065] Figure 1 The pulse waveform of the photodetector output measured by the electro-optic sampling system; the horizontal coordinate of the pulse waveform is time, and the vertical coordinate is normalized amplitude, and the maximum value of the amplitude is 1;
[0066] Figure 2 The electro-optic sampling system is combined with femtosecond laser, electro-optic effect of crystal, and equivalent sampling principle, and can accurately measure the pulse waveform of the photodetector output, such as DETAILED DESCRIPTION
[0067] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. However, it will be apparent to one skilled in the art that the present application can be practiced without the specific details presented in this description. In other instances, well-known methods have not been described in detail in order to avoid obscuring aspects of the present application.
[0068] The terms used in one or more embodiments of the present specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of the present specification. The singular forms "a", "an" and "the" used in one or more embodiments of the present specification and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of the present specification means and includes any or all possible combinations of one or more associated listed items.
[0069] It should be understood that although the terms first, second, etc. can be used in one or more embodiments of the present specification to describe various information, these information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of one or more embodiments of the present specification, first can also be referred to as second, and similarly, second can also be referred to as first. Depending on the context, the word "if" as used herein can be interpreted as "when" or "upon determination" or "in response to determining".
[0070] The present application will be further described in detail in conjunction with the accompanying drawings:
[0071] The present application provides a method for evaluating the consistency of the pulse waveform measurement results of the photodetector output based on the electro-optic sampling system:
[0072] The electro-optic sampling system combines femtosecond laser, electro-optic effect of crystal, and equivalent sampling principle, and can accurately measure the pulse waveform of the photodetector output, such as Figure 1
[0073] For the consistency of the pulse waveform to be evaluated, each group of pulse waveforms is aligned at the peak amplitude time, so that each group of pulse waveforms has the same start time and end time (as indicated in Figure 1 , so that each group of pulse waveforms has the same number of data points between the start time and the end time, and the time interval between data points is the same.
[0074] After the above processing, the consistency of each group of pulse waveforms is analyzed and evaluated, which is divided into two parts: (1) pulse waveform amplitude consistency analysis and evaluation; (2) pulse waveform time consistency analysis and evaluation.
[0075] (1) Pulse waveform amplitude consistency analysis and evaluation:
[0076] The pulse waveform amplitude consistency analysis and evaluation is for all data points of each group of pulse waveforms, and the steps are as follows:
[0077] 1) For the amplitude corresponding to each time of each two groups of pulse waveforms, the Pearson correlation algorithm is used to calculate the correlation of the amplitude of the two groups of pulse waveforms, and the calculation result (Pearson correlation coefficient) is between [0, 1] without unit. The closer the calculation result is to 1, the better the amplitude consistency of the two groups of pulse waveforms.
[0078] 2) For the two groups of pulse waveform amplitudes in 1), the root mean square error is calculated, and the calculation result is between [0, +∞) with the same unit as the pulse waveform amplitude. The closer the calculation result is to 0, the better the amplitude consistency of the two groups of pulse waveforms.
[0079] When the Pearson correlation coefficient is greater than or equal to the Pearson threshold value, and the root mean square error is less than or equal to the root mean square threshold value, it is judged that the two groups of pulse waveforms have good consistency; the Pearson threshold value can be 0.9, and the root mean square threshold value can be 0.05.
[0080] (2) Pulse waveform time consistency analysis and evaluation:
[0081] The pulse waveform time consistency analysis and evaluation is for the main peak transition region data points of each group of pulse waveforms, wherein the pulse waveform main peak transition region (as indicated in Figure 1 ) is the sum of two parts, the first part is from the time corresponding to the peak amplitude of the pulse waveform to the time corresponding to the first time the pulse waveform amplitude reaches the bottom state level in the direction of the waveform start time from the time corresponding to the peak amplitude of the pulse waveform. End; the second part is from the time corresponding to the peak amplitude of the pulse waveform to the time corresponding to the first time the pulse waveform amplitude reaches the bottom state level in the direction of the waveform end time from the time corresponding to the peak amplitude of the pulse waveform. End.
[0082] The steps are as follows:
[0083] 1) For each two groups of pulse waveform main peak transition region, take n amplitude values between the bottom state level corresponding amplitude and the pulse peak amplitude, and obtain the time amount of each group of pulse waveform corresponding to the n amplitude values by interpolation method.
[0084] 2) The Pearson correlation algorithm is used to calculate the correlation of the time amount of the main peak transition region of the two groups of pulse waveforms, and the calculation result (Pearson correlation coefficient) is between [0, 1] without unit. The closer the calculation result is to 1, the better the consistency of the time amount of the two groups of pulse waveforms.
[0085] 3) For the two groups of pulse waveform time amount in 2), the root mean square error is calculated, and the calculation result is between [0, +∞) with the same unit as the pulse waveform time amount. If the calculation result is closer to 0, it proves that the consistency of the time amount of the two groups of pulse waveforms is better.
[0086] When the Pearson correlation coefficient is greater than or equal to the Pearson threshold value, and the root mean square error is less than or equal to the root mean square threshold value, it is judged that the two groups of pulse waveforms have good consistency. The Pearson threshold value can be 0.9, and the root mean square threshold value can be 0.05.
[0087] Through the method of the application, the consistency of the output pulse waveform results of the photodetector measured based on the electro-optical sampling system can be analyzed and evaluated. At the same time, the method can also be used for the consistency analysis and evaluation of similar Figure 1 waveforms.
[0088] In order to better illustrate the technical effects of the application, the application provides the following specific embodiment to illustrate the above technical process:
[0089] Embodiment 1, a photodetector output pulse waveform measurement result consistency evaluation method based on an electro-optical sampling system, taking two groups of photodetector output pulse waveforms measured by an electro-optical sampling system as an example (named as “pulse waveform 1” and “pulse waveform 2” respectively), the consistency of the two groups of pulse waveforms is analyzed and evaluated, as shown in Figure 2 , the specific steps are as follows:
[0090] (1) Normalize the amplitudes of the two groups of pulse waveforms, and align the peak amplitude time of the two groups of pulse waveforms.
[0091] (2) Make each group of pulse waveforms have the same starting time and ending time, and the number of data points and the time interval between data points of each group of pulse waveforms are the same.
[0092] (3) Pulse waveform amplitude consistency analysis and evaluation:
[0093] 3.1) For each time point of the two groups of pulse waveform, the Pearson correlation coefficient of the amplitude values of the two groups of pulse waveform is calculated by formula (1).
[0094]
[0095] In the formula, r v Pearson correlation coefficient of the amplitude values of the pulse waveform, unitless;
[0096] n - the number of amplitude values of the pulse waveform, unitless;
[0097] i - the serial number of the amplitude value of the pulse waveform, unitless;
[0098] v 1i - the amplitude value data of pulse waveform 1, normalized amplitude;
[0099] - the mean value of the amplitude value of pulse waveform 1, normalized amplitude;
[0100] v 2i - the amplitude value data of pulse waveform 2, normalized amplitude;
[0101] - the mean value of the amplitude value of pulse waveform 2, normalized amplitude.
[0102] 3.2) For the two groups of pulse waveform amplitude values in 1), the root mean square error is calculated by formula (2).
[0103]
[0104] In the formula, RMSE v Root mean square error of the amplitude values of the pulse waveform, the unit is consistent with the unit of the amplitude values of the pulse waveform;
[0105] n - the number of amplitude values of the pulse waveform, unitless;
[0106] i - the serial number of the amplitude value of the pulse waveform, unitless;
[0107] v 1i - the amplitude value data of pulse waveform 1, normalized amplitude;
[0108] v 2i - the amplitude value data of pulse waveform 2, normalized amplitude.
[0109] (4) Analysis and evaluation of the consistency of the time values of the pulse waveform.
[0110] 4.1) For the main peak transition region of the two groups of pulse waveforms, take n amplitude values between the bottom state level corresponding amplitude and the pulse peak amplitude (the interval between different amplitude values can be the same or different), and obtain the time of each group of pulse waveforms corresponding to the n amplitude values by interpolation method.
[0111] 4.2) For the time of the main peak transition region of the two groups of pulse waveforms in 4.1), calculate the Pearson correlation coefficient of the time of the main peak transition region of the two groups of pulse waveforms by formula (3).
[0112]
[0113] In the formula, r t Pearson correlation coefficient of pulse waveform time, unitless;
[0114] n is the number of pulse waveform times, unitless;
[0115] i is the serial number of pulse waveform time, unitless;
[0116] t 1i is the pulse waveform 1 time data, normalized amplitude;
[0117] is the pulse waveform 1 time mean, normalized amplitude;
[0118] t 2i is the pulse waveform 2 time data, normalized amplitude;
[0119] is the pulse waveform 2 time mean, normalized amplitude.
[0120] 4.3) For the time of the main peak transition region of the two groups of pulse waveforms in 4.1), calculate the root mean square error by formula (4).
[0121]
[0122] In the formula, RMSE t Root mean square error of pulse waveform time, unit consistent with pulse waveform time unit;
[0123] n is the number of pulse waveform times, unitless;
[0124] i is the serial number of pulse waveform time, unitless;
[0125] t 1i is the pulse waveform 1 time data, time unit;
[0126] t 2i is the pulse waveform 2 time data, time unit.
[0127] In several embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other manners. For example, the described apparatus embodiments are merely schematic. For example, the division of the modules, units or components is merely a logical function division. There can be another division manner for the actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In this way, the actual implementation can be divided into other ways.
[0128] The units can or can not be physically separate, and the components shown as units can be a physical unit or multiple physical units, i.e., can be located in one place, or can be distributed to multiple different places. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiments.
[0129] In addition, each functional unit in the various embodiments of the present application can be integrated in a processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be implemented in the form of hardware or software functional units.
[0130] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as a computer software program. For example, the embodiments of the present disclosure include a computer program product comprising a computer program carried on a computer readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such embodiments, the computer program can be downloaded and installed from a network by a communication part, and / or installed from a detachable medium. When the computer program is executed by a central processing unit (CPU), the above-mentioned functions defined in the method of the present application are executed. It should be noted that the above-mentioned computer readable medium of the present application can be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or apparatus, or any combination of the above.
[0131] The computer program product of the present application can be a computer program product comprising a computer readable storage medium and a computer program mechanism embedded in the computer readable storage medium. Such computer program product can further include a computer readable storage medium and program means for causing a processor or other programmable processing apparatus to function in a particular manner, such that the computer program mechanism that can be executed by such a processor or processing apparatus cause the processor or processing apparatus to actually function in a particular manner. The computer program product can be intended for use in one or more systems or a processor-controlled device.
[0132] The above description is only specific embodiments of the present application, but the protection scope of the present application is not limited thereto, and any change or substitution within the technical scope disclosed by the present application should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.
Claims
1. A method for evaluating the consistency of the results of measuring the output pulse waveform of a photodetector based on an electro-optical sampling system, characterized in that, The method comprises the following steps: obtaining a plurality of sets of photoelectric detector output pulse waveforms; normalizing the amplitudes of the pulse waveforms and aligning the peak amplitude time points of the pulse waveforms to obtain normalized pulse waveforms; aligning the start time and end time of all the normalized pulse waveforms, and making the number of data points and the time interval between data points the same to obtain preprocessed pulse waveforms; obtaining the amplitude values of the two sets of preprocessed pulse waveforms; calculating the Pearson correlation coefficient and the root mean square error of the amplitude values based on the amplitude values of the preprocessed pulse waveforms; obtaining the consistency evaluation result of the amplitude values of the two sets of preprocessed pulse waveforms based on the Pearson correlation coefficient and the root mean square error of the amplitude values; for the main peak transition region of the two sets of preprocessed pulse waveforms, taking n amplitude values between the bottom state level corresponding amplitude and the pulse peak amplitude, and obtaining the time values corresponding to the n amplitude values based on an interpolation method; calculating the Pearson correlation coefficient and the root mean square error of the time values based on the time values of the preprocessed pulse waveforms; obtaining the consistency evaluation result of the time values of the two sets of preprocessed pulse waveforms based on the Pearson correlation coefficient and the root mean square error of the time values.
2. The method of claim 1, wherein the method further comprises: The calculation formula of the Pearson correlation coefficient of the amplitude values is: where: r v is the Pearson correlation coefficient of the pulse waveform amplitude quantities; n is the number of pulse waveform amplitude values; i is the sequence number of the pulse waveform amplitude values. v 1i for the first set of pulse waveform amplitude data; to the first set of pulse waveforms; and v 2i for the second set of pulse waveforms; to the second set of pulse waveforms; and The calculation formula of the root mean square error of the amplitude values is: where RMSE is the root mean square error of the pulse shape amplitude quantization; and v is the root mean square error of the pulse shape amplitude quantization; and n is the number of pulse waveform amplitude values; i is the sequence number of the pulse waveform amplitude values. v 1i for the first set of pulse waveform amplitude data; v 2i For the second set of pulse waveform amplitude quantity data.
3. The photoelectric detector output pulse waveform measurement consistency evaluation method based on an electro-optical sampling system according to claim 2, characterized in that: the Pearson correlation coefficient of the amplitude values is between 0 and 1, and the closer to 1, the better the consistency of the amplitude values of the two sets of preprocessed pulse waveforms; the root mean square error of the amplitude values is between 0 and +∞, and the closer to 0, the better the consistency of the amplitude values of the two sets of preprocessed pulse waveforms.
4. The method of claim 3, wherein the method further comprises: The consistency evaluation result of the amplitude values of the two sets of preprocessed pulse waveforms is obtained based on the Pearson correlation coefficient and the root mean square error of the amplitude values, and specifically comprises the following steps: when the Pearson correlation coefficient of the amplitude values is greater than or equal to a Pearson threshold value, and the root mean square error of the amplitude values is less than or equal to a root mean square threshold value, it is determined that the amplitude values of the two sets of preprocessed pulse waveforms have good consistency.
5. The method of claim 1, wherein the method further comprises: The calculation formula of the Pearson correlation coefficient of the time values is: In the formula, r t The Pearson correlation coefficient is the time-varying value of the pulse waveform. n is the number of pulse waveform time values; i is the sequence number of the pulse waveform time values. t 1i is a first set of pulse waveform time quantity data; a first group of pulse waveforms time quantity mean value; t 2i for the second set of pulse waveform time quantity data; a second set of pulse waveform time quantity means; The calculation formula of the root mean square error of the time values is: where RMSE is the root mean square error of the pulse shape time quantity; and t where RMSE is the root mean square error of the pulse shape time quantity; and t where RMSE is the root mean square n is the number of pulse waveform time values; i is the sequence number of the pulse waveform time values. t 1i is a first set of pulse waveform time quantity data; t 2i is a second set of pulse waveform time quantity data.
6. The photoelectric detector output pulse waveform measurement consistency evaluation method based on an electro-optical sampling system according to claim 5, characterized in that: the Pearson correlation coefficient of the time values is between 0 and 1, and the closer to 1, the better the consistency of the time values of the two sets of preprocessed pulse waveforms; the root mean square error of the time values is between 0 and +∞, and the closer to 0, the better the consistency of the time values of the two sets of preprocessed pulse waveforms.
7. The method of claim 6, wherein the method further comprises: According to the Pearson correlation coefficient of the time quantity and the root mean square error, time quantity consistency evaluation results of the two groups of preprocessed pulse waveforms are obtained, and the specific steps include the following steps: When the Pearson correlation coefficient of the time quantity is greater than or equal to the Pearson threshold value, and the root mean square error of the time quantity is less than or equal to the root mean square threshold value, it is judged that the time quantity of the two groups of preprocessed pulse waveforms has good consistency.
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