A method for processing nerve cell evoked discharge data

Abstract

The present invention discloses a method for processing data of induced discharge of nerve cells, comprising the following steps: obtaining original curve data of induced discharge of nerve cells, processing the original curve data, and obtaining calibration curve data; judging the response mode to which the calibration curve data belongs according to the number of response peaks of the calibration curve data and the time of the response peaks; and outputting the response mode of the calibration curve data. The present invention obtains original curve data of induced discharge of nerve cells, processes the original curve data, and obtains calibration curve data; judging the response mode to which the calibration curve data belongs according to the number of response peaks of the calibration curve data and the time of the response peaks; and outputting the response mode of the calibration curve data, thereby improving the efficiency of data analysis, avoiding misjudgment and deviation caused by manual analysis, and improving the reliability and accuracy of data.

Description

Technical Field

[0001] The invention belongs to the technical field of data processing, and in particular relates to a method for processing nerve cell induced discharge data. Background Art

[0002] Neuroelectrophysiology is a method of measuring the electrical activity of nerve cells to study the characteristics of nerve cells or neural coding. Currently, there are a large number of literatures that confirm the corresponding conclusions by showing electrophysiological related experimental records. Among them, in vivo electrophysiology is a common method to explore the effects of visual or auditory stimulation on the electrical activity of nerve cells in the visual and auditory related brain areas of living mice. Taking sound stimulation (Sound) as an example, experiments have found through in vivo electrophysiological recordings that hearing-related nerve cells will produce different response patterns to auditory stimulation, and respond through the firing rate-time curve (PSTH), such as Figure 1 , including: sound start type (Onset), sound end type (Offset), sound start-end type (On-off) and sound sustained type (Sustained).

[0003] These different types of responses suggest the coding rules of a certain type of neuron for stimulus signals. Many past literatures have attempted to find out the relationship between a certain type of nerve cell or loop response and sound stimulation through modeling. To achieve this effect, we need to record a large amount of effective electrophysiological data and find out the characteristics that can suggest the coding rules of the nerve cell from these data. Understanding the response pattern of nerves helps to discover certain coding characteristics of nerves. Usually, researchers give multiple sound stimuli and repeatedly record the firing of neurons in the same position, add the number of firings at the same time and divide it by the total number (normalization), thereby calculating the firing rate-time curve (PSTH), and finally visually observe the PSTH curve and combine experience to judge which response mode the recorded data belongs to. In addition, researchers can also judge the response pattern of nerve cells at that location by observing a scatter plot composed of multiple records (the response peak Spike is represented by scatter points), such as Figure 2 .

[0004] However, due to the presence of noise and spontaneous discharge of neurons, as well as possible interference from surrounding neurons, the actual recorded firing rate-time curve (PSTH) is often very uneven. Figure 3 As shown in the figure, if the PSTH curve obtained by observing the real recorded data with the naked eye is observed, it is easy to cause misjudgment.

[0005] Although the observation Figure 2 The scatter plot shown can make it easier to see the response pattern of the recorded place cells, reducing the probability of misjudgment to a certain extent. However, when faced with a large amount of experimental data, sorting and organizing these data will undoubtedly consume a huge amount of work.

[0006] Whether observing the PSTH curve or the scatter plot with the naked eye, there are more or less subjective factors. There is a lack of uniform standards in defining the release mode. For data organizers with different experiences, the results of judgment may be different. Summary of the invention

[0007] In order to overcome the above technical defects, the present invention provides a method for processing nerve cell induced discharge data.

[0008] In order to solve the above problems, the present invention is implemented according to the following technical solutions:

[0009] A method for processing nerve cell induced discharge data comprises the following steps:

[0010] Acquiring original curve data of induced discharge of nerve cells, processing the original curve data, and obtaining calibration curve data;

[0011] According to the number of response peaks and the time of the response peaks in the calibration curve data, the response mode to which the calibration curve data belongs is determined;

[0012] Output the response mode of the calibration curve data.

[0013] Preferably, the step of processing the original curve data includes:

[0014] Based on the data of spontaneous discharge of nerve cells, the standard deviation is calculated;

[0015] The original curve data of the induced discharge of the nerve cells are low-pass filtered, and the curve data above the threshold value in the filtered original curve data of the induced discharge of the nerve cells are selected to obtain the calibration curve data, wherein the threshold value is three times the standard deviation.

[0016] Preferably, the step of determining the response mode to which the calibration curve data belongs according to the number of response peaks and the time of the response peaks of the calibration curve data comprises:

[0017] Obtain the number of response peaks and information of response peaks of calibration curve data;

[0018] Based on the number of response peaks of the calibration curve data and the information of the response peaks, determining the number of valid response peaks of the calibration curve data;

[0019] If the calibration curve data includes a valid response peak, determining the response mode to which the calibration curve data belongs based on the first time and the second time of the response peak;

[0020] If the calibration curve data includes two valid response peaks, determining the response mode to which the calibration curve data belongs based on the first time and the third time of the response peaks;

[0021] If the calibration curve data includes more than two valid response peaks, the response mode to which the calibration curve data belongs is determined based on the first time and the third time of the response peak.

[0022] Preferably, the step of determining the number of valid response peaks of the calibration curve data based on the number of response peaks of the calibration curve data and the information of the response peaks comprises:

[0023] If the calibration curve data includes a response peak, then the calibration curve data includes a valid response peak;

[0024] If the calibration curve data includes two response peaks, determining whether the second time satisfies the first determination condition;

[0025] If the second time satisfies the first judgment condition, the calibration curve data includes two valid response peaks;

[0026] If the second time does not meet the judgment condition, it is judged whether there is a time between the first time and the third time corresponding to the response data of 0;

[0027] If there is a time between the first time and the third time corresponding to a corresponding data of 0, then the calibration curve data includes a valid response peak;

[0028] Otherwise, the response mode to which the calibration curve data belongs is considered to be the first response mode.

[0029] Preferably, if the calibration curve data includes a valid response peak, based on the first time and the second time of the response peak, determining the response mode to which the calibration curve data belongs comprises:

[0030] Determine whether the second time satisfies the first determination condition, and if the second time does not satisfy the first determination condition, consider that the response mode to which the calibration curve data belongs is the first response mode;

[0031] Otherwise, determining whether the second determination condition is satisfied at the first time;

[0032] If the second judgment condition is satisfied at the first time, it is considered that the response mode to which the calibration curve data belongs is the second response mode;

[0033] Otherwise, determining whether the third determination condition is satisfied at the first time;

[0034] If the third judgment condition is satisfied at the first time, it is considered that the response mode to which the calibration curve data belongs is the third response mode;

[0035] Otherwise, determining whether the fourth determination condition is satisfied at the first time;

[0036] If the fourth judgment condition is satisfied at the first time, it is considered that the response mode to which the calibration curve data belongs is the third response mode;

[0037] Otherwise, the calibration curve data is considered unrecognizable.

[0038] Preferably, if the calibration curve data includes two valid response peaks, based on the first time and the third time of the response peaks, determining the response mode to which the calibration curve data belongs comprises:

[0039] Determine whether the first time satisfies the second judgment condition, and if the first time satisfies the second judgment condition, determine whether the third time satisfies the fifth judgment condition;

[0040] If the third time satisfies the fifth judgment condition, it is considered that the response mode to which the calibration curve data belongs is the fourth response mode;

[0041] Otherwise, determining whether the third time satisfies the sixth determination condition;

[0042] If the third time satisfies the sixth judgment condition, it is considered that the response mode to which the calibration curve data belongs is the fourth response mode;

[0043] Otherwise, the calibration curve data is considered unrecognizable.

[0044] Preferably, if the calibration curve data includes more than two valid response peaks, based on the first time and the third time of the response peak, determining the response mode to which the calibration curve data belongs includes:

[0045] Determine whether the first time satisfies the second judgment condition, and if the first time satisfies the second judgment condition, determine whether the third time satisfies the second judgment condition;

[0046] If the third time does not satisfy the second judgment condition, determining whether the third time satisfies the third judgment condition;

[0047] If the third time satisfies the third judgment condition, it is determined whether there is a time between the first time and the third time corresponding to the response data being 0;

[0048] If the response data corresponding to a certain moment between the first time and the third time is 0, it is determined whether the time difference between the third time and the first time is greater than the stimulation duration; otherwise, it is considered that the response mode to which the calibration curve data belongs is the first response mode;

[0049] If the time difference between the third time and the first time is greater than the stimulation duration, it is considered that the response mode to which the calibration curve data belongs is the fourth response mode; otherwise, it is considered that the response mode to which the calibration curve data belongs is the second response mode.

[0050] Preferably, the first time is the moment when the peak value of the first response peak appears, the second time is the time difference between the response end time and the response start time of the response peak, and the third time is the moment when the peak value of the second response peak appears.

[0051] Preferably, the first judgment condition is that the time is less than 80% of the duration of the stimulation;

[0052] The second judgment condition is that the time is less than the sum of the stimulus start time and the delay time;

[0053] The third judgment condition is that the time is less than the sum of the stimulation start time, the delay time and the stimulation duration;

[0054] The fourth judgment condition is that the time is less than the sum of the stimulation start time and twice the delay time and the stimulation duration;

[0055] The fifth judgment condition is that the time is greater than the sum of the stimulation start time and the delay time, and less than the sum of the stimulation start time, the delay time and the stimulation duration;

[0056] The sixth judgment condition is that the time is greater than the sum of the stimulation start time and the delay time, and less than the sum of the stimulation start time, twice the delay time and the stimulation duration.

[0057] Preferably, the first response mode is a sound-sustained type, the second response mode is a sound-start type, the third response mode is a sound-end type, and the fourth response mode is a sound-start-end type.

[0058] Compared with the prior art, the present invention has the following beneficial effects:

[0059] The present invention discloses a method for processing nerve cell induced discharge data. The method comprises the following steps: obtaining original curve data of nerve cell induced discharge, processing the original curve data, and obtaining calibration curve data; judging the response mode to which the calibration curve data belongs according to the number of response peaks of the calibration curve data and the time of the response peaks; outputting the response mode of the calibration curve data, improving data analysis efficiency, avoiding misjudgment and deviation caused by manual analysis, and improving data reliability and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The specific embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings, wherein:

[0061] Figure 1 For background technology Figure 1 ;

[0062] Figure 2 For background technology Figure 2 ;

[0063] Figure 3 For background technology Figure 3 ;

[0064] Figure 4 is a flow chart of Example 1;

[0065] Figure 5 is a flow chart of step S23 of embodiment 1;

[0066] Figure 6 This is a flow chart of step S24 of Example 1;

[0067] Figure 7 This is a flowchart of step S25 of Example 1. DETAILED DESCRIPTION

[0068] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0069] Example 1

[0070] This embodiment discloses a method for processing nerve cell induced discharge data. Figure 4 , including the following steps:

[0071] S1. Acquire original curve data of induced discharge of nerve cells, process the original curve data, and obtain calibration curve data.

[0072] In one embodiment, step S1 includes:

[0073] Based on the data of spontaneous discharge of nerve cells, the standard deviation is calculated.

[0074] The original curve data of the induced discharge of the nerve cells are low-pass filtered, and the curve data above the threshold value in the original curve data of the induced discharge of the nerve cells after filtering are selected, wherein the threshold value is three times the standard deviation.

[0075] The data points with peak values ​​less than 0 in the curve data of the evoked discharge of the screened nerve cells are set to 0 to obtain the calibration curve data.

[0076] Determine whether the peak value corresponding to the maximum data point is greater than 0. If it is greater than 0, obtain the information of all data points whose peak values ​​are greater than 0. The data point information includes the peak value and the time corresponding to the peak value.

[0077] Three times the standard deviation of the spontaneous discharge data of nerve cells is used as the threshold to distinguish between spontaneous discharge and induced discharge of nerve cells. Discharges above the threshold are considered to be induced discharges of nerve cells.

[0078] S2. According to the number of response peaks and the time of the response peaks in the calibration curve data, determine the response mode to which the calibration curve data belongs.

[0079] In one embodiment, step S2 includes:

[0080] S21. Obtain the number of response peaks and information of the response peaks of the calibration curve data.

[0081] The number of response peaks and response peak information of the calibration curve data can be obtained based on the data point information.

[0082] S22. Based on the number of response peaks of the calibration curve data and the information of the response peaks, determine the number of valid response peaks of the calibration curve data.

[0083] Specifically, step S22 includes:

[0084] If the calibration curve data includes a response peak, then the calibration curve data includes a valid response peak.

[0085] If the calibration curve data includes two response peaks, it is determined whether the time difference Δt (which can be considered as the width of the response peak) between the response end time and the response start time of the response peak is less than 80% of the stimulation duration DT (Duration Time).

[0086] If the time difference Δt between the response end time and the response start time of the response peak is less than 80% of the stimulation duration DT, the calibration curve data includes two valid response peaks.

[0087] Otherwise, it is determined whether there is a time between time t1 when the first response peak value appears and time t2 when the second response peak value appears, and the corresponding response data is 0.

[0088] If there is a time between time t1 when the first response peak value appears and time t2 when the second response peak value appears, the corresponding data corresponding to a time is 0, then the calibration curve data includes a valid response peak.

[0089] Otherwise, the response mode to which the calibration curve data belongs is considered to be sustained.

[0090] S23, if the calibration curve data includes a valid response peak, based on the time t1 when the peak value of the first response peak of the response peak appears and the time difference Δt between the response end time and the response start time of the response peak, determine the response mode to which the calibration curve data belongs.

[0091] Specifically, Figure 5 , step S23 comprises:

[0092] Determine whether the time difference Δt between the response end time and the response start time of the response peak (which can be considered as the width of the response peak) is less than 80% of the stimulation duration DT. If the time difference Δt between the response end time and the response start time of the response peak is greater than or equal to 80% of the stimulation duration DT, it is considered that the response mode to which the calibration curve data belongs is sustained.

[0093] Otherwise, it is determined whether the time t1 when the first response peak value appears is less than the sum ST+L of the stimulus start time ST (StartTime) and the delay time L (Latency).

[0094] If the time t1 when the first response peak value appears is less than the sum of the stimulation start time ST and the delay time L ST+L, it is considered that the response mode to which the calibration curve data belongs is the sound-onset type onset.

[0095] Otherwise, it is determined whether the time t1 when the first response peak value appears is less than the sum of the stimulation start time ST, the delay time L and the stimulation duration DT, ST+L+DT.

[0096] If the time t1 when the first response peak value appears is less than the sum of the stimulation start time ST, the delay time L and the stimulation duration DT ST+L+DT, it is considered that the response mode to which the calibration curve data belongs is the sound end type offset.

[0097] Otherwise, it is determined whether the time t1 at which the peak value of the first response peak appears is less than the sum of the stimulation start time ST and twice the delay time L*2 and the stimulation duration DT, ST+L*2+DT.

[0098] If the time t1 when the first response peak value appears is less than the sum of the stimulation start time ST and twice the delay time L*2 and the stimulation duration DT ST+L*2+DT, it is considered that the response mode to which the calibration curve data belongs is the sound end type on-off.

[0099] Otherwise, the calibration curve data is considered unrecognizable.

[0100] S24 , if the calibration curve data includes two valid response peaks, based on the time t1 when the peak value of the first response peak appears and the time t2 when the peak value of the second response peak appears, determine the response mode to which the calibration curve data belongs.

[0101] Specifically, Figure 6 , step S24 comprises:

[0102] Determine whether the time t1 when the first response peak-to-peak value appears is less than the sum ST+L of the stimulus start time ST and the delay time L. If the time t1 when the first response peak-to-peak value appears is less than the sum ST+L of the stimulus start time ST and the delay time L, determine whether the time t2 when the second response peak-to-peak value appears is greater than the sum ST+L of the stimulus start time ST and the delay time L, and less than the sum ST+L+DT of the stimulus start time ST, the delay time L and the stimulus duration DT.

[0103] Otherwise, the calibration curve data is considered unrecognizable.

[0104] If the time t2 when the second response peak value appears is greater than the sum ST+L of the stimulus start time ST and the delay time L, and is less than the sum ST+L+DT of the stimulus start time ST, the delay time L and the stimulus duration DT, it is considered that the response mode to which the calibration curve data belongs is the sound start-end type offset.

[0105] Otherwise, determine whether the time t2 when the second response peak value appears is greater than the sum ST+L of the stimulation start time ST and the delay time L, and less than the sum ST+L*2+DT of the stimulation start time ST and twice the delay time L*2 and the stimulation duration DT.

[0106] If the time t2 when the second response peak value appears is greater than the sum ST+L of the stimulation start time ST and the delay time L, and less than the sum ST+L*2+DT of the stimulation start time ST and twice the delay time L*2 and the stimulation duration DT, it is considered that the response mode to which the calibration curve data belongs is the fourth response mode of the sound start-end type on-off.

[0107] Otherwise, it is considered that the calibration curve data cannot be recognized, and the possible reason is that the offset response delay of the sound end type is too long.

[0108] S25 , if the calibration curve data includes more than two valid response peaks, based on the time t1 when the peak value of the first response peak appears and the time t2 when the peak value of the second response peak appears, determine the response mode to which the calibration curve data belongs.

[0109] Specifically, Figure 7 , step S25 comprises:

[0110] Determine whether the time t1 when the first response peak value appears is less than the sum of the stimulus start time ST and the delay time L ST+L. If the time t1 when the first response peak value appears is less than the sum of the stimulus start time ST and the delay time L ST+L, determine whether the time t2 when the second response peak value appears is less than the sum of the stimulus start time ST and the delay time L ST+L. Otherwise, it is considered that the calibration curve data cannot be recognized.

[0111] If the time t2 when the second response peak value appears is greater than the sum ST+L of the stimulation start time ST and the delay time L, it is determined whether the time t2 when the second response peak value appears is less than the sum ST+L+DT of the stimulation start time ST and the delay time L and the stimulation duration DT. Otherwise, it is considered that the calibration curve data cannot be recognized.

[0112] If the time t2 when the second response peak value appears is less than the sum of the stimulation start time ST, the delay time L and the stimulation duration DT (ST+L+DT), determine whether there is a time between the time t1 when the first response peak value appears and the time t2 when the second response peak value appears, and the response data corresponding to it is 0.

[0113] If there is a time point between the time t1 when the first response peak-to-peak value appears and the time t2 when the second response peak-to-peak value appears, and the corresponding response data is 0, then determine whether the time difference between the time t2 when the second response peak-to-peak value appears and the time t1 when the first response peak-to-peak value appears is greater than the stimulation duration DT; otherwise, it is considered that the response mode to which the calibration curve data belongs is sustained.

[0114] If the time difference between the moment t2 when the second response peak-to-peak value appears and the moment t1 when the first response peak-to-peak value appears is greater than the stimulation duration DT, it is considered that the response mode to which the calibration curve data belongs is the on-off type when the sound starts and ends; otherwise, it is considered that the response mode to which the calibration curve data belongs is the onset type when the sound starts.

[0115] In one embodiment, if the time t2 when the second response peak-to-peak value appears is greater than or equal to the sum of the stimulation start time ST, the delay time L and the stimulation duration DT (ST+L+DT), it is determined whether the time t2 when the second response peak-to-peak value appears is less than the time value of the last sampling data point in the calibration curve data minus 1.

[0116] If it is less than, it is determined whether there is a time between the time t1 when the first response peak value appears and the time t2 when the second response peak value appears, and the corresponding response data is 0.

[0117] If there is a time point between the time t1 when the first response peak value appears and the time t2 when the second response peak value appears, the corresponding response data is 0, then it is considered that the calibration curve data cannot be identified.

[0118] Otherwise, it is considered that the response mode to which the calibration curve data belongs is sustained, and the duration of sustained may be longer.

[0119] S3. Output the response mode of the calibration curve data.

[0120] The present invention obtains original curve data of induced discharge of nerve cells, processes the original curve data, and obtains calibration curve data; judges the response mode to which the calibration curve data belongs according to the number of response peaks of the calibration curve data and the time of the response peaks; outputs the response mode of the calibration curve data, improves data analysis efficiency, avoids misjudgment and deviation caused by manual analysis, and improves data reliability and accuracy.

[0121] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Therefore, any modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the technical solution of the present invention shall still fall within the scope of the technical solution of the present invention.

Claims

1. A method for processing nerve cell evoked discharge data, characterized in that: The steps include: Acquiring original curve data of induced discharge of nerve cells, processing the original curve data, and obtaining calibration curve data; According to the number of response peaks and the time of the response peaks in the calibration curve data, the response mode to which the calibration curve data belongs is determined; Output the response mode of the calibration curve data; The step of determining the response mode to which the calibration curve data belongs according to the number of response peaks and the time of the response peaks of the calibration curve data comprises: Obtain the number of response peaks and information of response peaks of calibration curve data; Based on the number of response peaks of the calibration curve data and the information of the response peaks, determining the number of valid response peaks of the calibration curve data; If the calibration curve data includes a valid response peak, determining the response mode to which the calibration curve data belongs based on the first time and the second time of the response peak; If the calibration curve data includes two valid response peaks, determining the response mode to which the calibration curve data belongs based on the first time and the third time of the response peaks; If the calibration curve data includes more than two valid response peaks, determining the response mode to which the calibration curve data belongs based on the first time and the third time of the response peaks; The step of determining the number of effective response peaks of the calibration curve data based on the number of response peaks of the calibration curve data and the information of the response peaks comprises: If the calibration curve data includes a response peak, then the calibration curve data includes a valid response peak; If the calibration curve data includes two response peaks, determining whether the second time satisfies the first determination condition; If the second time satisfies the first judgment condition, the calibration curve data includes two valid response peaks; If the second time does not meet the judgment condition, it is judged whether there is a time between the first time and the third time corresponding to the response data of 0; If there is a time between the first time and the third time corresponding to a corresponding data of 0, then the calibration curve data includes a valid response peak; Otherwise, the response mode to which the calibration curve data belongs is considered to be the first response mode.

2. The data processing method according to claim 1, characterized in that: The steps for processing the original curve data include: Based on the data of spontaneous discharge of nerve cells, the standard deviation is calculated; The original curve data of the induced discharge of the nerve cells are low-pass filtered, and the curve data above the threshold value in the filtered original curve data of the induced discharge of the nerve cells are selected to obtain the calibration curve data, wherein the threshold value is three times the standard deviation.

3. The data processing method according to claim 1, characterized in that: If the calibration curve data includes a valid response peak, based on the first time and the second time of the response peak, determining the response mode to which the calibration curve data belongs, comprises: Determine whether the second time satisfies the first determination condition, and if the second time does not satisfy the first determination condition, consider that the response mode to which the calibration curve data belongs is the first response mode; Otherwise, determining whether the second determination condition is satisfied at the first time; If the second judgment condition is satisfied at the first time, it is considered that the response mode to which the calibration curve data belongs is the second response mode; Otherwise, determining whether the third determination condition is satisfied at the first time; If the third judgment condition is satisfied at the first time, it is considered that the response mode to which the calibration curve data belongs is the third response mode; Otherwise, determining whether the fourth determination condition is satisfied at the first time; If the fourth judgment condition is satisfied at the first time, it is considered that the response mode to which the calibration curve data belongs is the third response mode; Otherwise, the calibration curve data is considered unrecognizable.

4. The data processing method according to claim 3, characterized in that: If the calibration curve data includes two valid response peaks, based on the first time and the third time of the response peaks, determining the response mode to which the calibration curve data belongs includes: Determine whether the first time satisfies the second judgment condition, and if the first time satisfies the second judgment condition, determine whether the third time satisfies the fifth judgment condition; If the third time satisfies the fifth judgment condition, it is considered that the response mode to which the calibration curve data belongs is the fourth response mode; Otherwise, determining whether the third time satisfies the sixth determination condition; If the third time satisfies the sixth judgment condition, it is considered that the response mode to which the calibration curve data belongs is the fourth response mode; Otherwise, the calibration curve data is considered unrecognizable.

5. The data processing method according to claim 3, characterized in that: If the calibration curve data includes more than two valid response peaks, based on the first time and the third time of the response peak, determining the response mode to which the calibration curve data belongs, comprises: Determine whether the first time satisfies the second judgment condition, and if the first time satisfies the second judgment condition, determine whether the third time satisfies the second judgment condition; If the third time does not satisfy the second judgment condition, determining whether the third time satisfies the third judgment condition; If the third time satisfies the third judgment condition, it is determined whether there is a time between the first time and the third time corresponding to the response data being 0; If the response data corresponding to a certain moment between the first time and the third time is 0, it is determined whether the time difference between the third time and the first time is greater than the stimulation duration; otherwise, it is considered that the response mode to which the calibration curve data belongs is the first response mode; If the time difference between the third time and the first time is greater than the stimulation duration, it is considered that the response mode to which the calibration curve data belongs is the fourth response mode; otherwise, it is considered that the response mode to which the calibration curve data belongs is the second response mode.

6. The data processing method according to any one of claims 1 to 5, characterized in that: The first time is the time when the peak value of the first response peak appears, the second time is the time difference between the response end time and the response start time of the response peak, and the third time is the time when the peak value of the second response peak appears.

7. The data processing method according to any one of claims 1 to 5, characterized in that: The first judgment condition is that the time is less than 80% of the stimulus duration; The second judgment condition is that the time is less than the sum of the stimulus start time and the delay time; The third judgment condition is that the time is less than the sum of the stimulation start time, the delay time and the stimulation duration; The fourth judgment condition is that the time is less than the sum of the stimulation start time and twice the delay time and the stimulation duration; The fifth judgment condition is that the time is greater than the sum of the stimulation start time and the delay time, and less than the sum of the stimulation start time, the delay time and the stimulation duration; The sixth judgment condition is that the time is greater than the sum of the stimulation start time and the delay time, and less than the sum of the stimulation start time, twice the delay time and the stimulation duration.

8. The data processing method according to any one of claims 1 to 5, characterized in that: The first response mode is a continuous sound type, the second response mode is a start-sound type, the third response mode is a stop-sound type, and the fourth response mode is a start-stop-sound type.

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