TEOAE otoacoustic emission signal generation method and DNLR test method

Abstract

The invention discloses a TEOAE otoacoustic emission signal generation method and a DNLR test method, relates to the technical field of otoacoustic emission detection, and solves the problem that in the DNLR test, in order to effectively remove interference of artifacts, a saturation region and difference of ear thresholds of different people need to be considered. Respectively connecting the three stimulation electric signals into a loudspeaker so as to convert the three stimulation electric signals into three stimulation sound signals, respectively stimulating the cochlea so as to acquire corresponding response signals and random noise, and superposing the response signals so as to obtain TEOAE otoacoustic emission signals. According to the TEOAE otoacoustic emission signal generated by the method, the peak-to-peak equivalent sound pressure level of each stimulation signal is equal, the phases of one stimulation signal are opposite, the three signals are superposed to remove artifacts, and due to the fact that the peak-to-peak equivalent sound pressure levels of the three stimulation signals are equal, a saturation region and the difference of different ear threshold values do not need to be considered.

Description

Technical Field

[0001] The present application relates to the technical field of otoacoustic emission detection, and in particular to a TEOAE otoacoustic emission signal generation method and a DNLR testing method. Background Art

[0002] TEOAEs are OAEs evoked by clicks or tone-bursts, such as Figure 2 Figure 3(a) and Figure 3(b) are two topological diagrams of TEOAE stimulus sound waveforms. After the TEOAEs stimulus sound is emitted, the TEOAEs response signal is generated after 2.5-5ms, and the response signal has an unfixed delay relative to the stimulus signal. Therefore, before 2.5ms, it is basically the echo of the stimulus signal, 2.5-5ms is the part where the stimulus signal echo and the response signal overlap, and after 5ms, it is the response signal.

[0003] Traditional otoacoustic emission signal processing methods include coherent averaging, threshold truncation, bandpass filtering, time domain windowing and nonlinear differential averaging (DNLR). The first three are used to remove noise, and the last two are used to remove artifacts.

[0004] The basic basis of the DNLR method is as follows: Almost all stimulus artifacts have linear characteristics, and their intensity increases linearly with the intensity of the stimulus. On the contrary, the cochlear response TEOAE has obvious nonlinear characteristics. The intensity of TEOAE increases with the stimulus at 0.3dB / dB. When the stimulus intensity reaches a certain level (70dBSPL-90dBSPL), TEOAE shows saturation characteristics and basically does not increase with the stimulus intensity. Therefore, the following method can be used: adopt the method of inducing by stimulus sequence packets, each stimulus sequence packet consists of three positive short sounds with intensity I and one negative short sound with intensity -3I, such as Figure 4 shown. Figure 4 : Stimulation sequence packet model, because the stimulus signal echo is the same, the three positive and one negative echo signals will cancel each other out, and the TEOAE signal is saturated, so part of the TEOAE signal will be retained, thereby achieving the purpose of eliminating echo artifacts

[0005] When conducting TEOAE testing, a nonlinear differential averaging algorithm must be used. Its most important purpose is to remove artifacts and eliminate the impact of the stimulus signal on the test.

[0006] The nonlinear differential average algorithm uses the nonlinear characteristics of otoacoustic emissions to extract signals. In simple terms, the sound intensity of otoacoustic emission signals has a limit value. When the stimulus signal intensity is weak, the sound intensity of the TEOAE signal increases with the stimulus signal intensity. When the stimulus sound intensity increases to 70dB and reaches the saturation zone, the TEOAE signal tends to saturate, and its sound intensity no longer increases with the stimulus signal intensity. Its approximate curve Figure 5 shown.

[0007] In order to cancel out the stimulus signal and retain the TEOAE signal, the nonlinear differential averaging method uses the method of superimposing the otoacoustic sampling signals obtained by the stimulus signal S1 in the saturation region with the same stimulus sound intensity and a relatively small stimulus sound intensity of N times that of S1, and adding the otoacoustic sampling signals of the stimulus signal S2 in the saturation region with a sound intensity that is relatively strong and N times that of S1 and with a phase that is exactly opposite to S1. In this way, the stimulus sound artifacts of the two groups of sampling signals are exactly the same in magnitude and opposite in phase and are canceled out, while the TEOAE signal is retained due to its nonlinear characteristics, thus separating the artifacts and the required TEOAE signal.

[0008] The specific separation method in the prior art is as follows:

[0009] First, the collected response signal R(t) is decomposed into the artifact W(t) of the stimulus signal, the TEOAE otoacoustic emission signal TE(t) and the environmental noise N(t) as shown in formula (1).

[0010] R(t)=W(t)+TE(T)+N(t) Formula 1

[0011] The ratio of the stimulus signal sound intensity is N, and the phases are opposite, as shown in formula (2):

[0012] S2=-N×S1 Formula 2

[0013] R1(t)=W1(t)+TE1(t)+N1(t)

[0014] R2(t)=W2(t)+TE2(t)+N2(t)

[0015] W2(t)=-N×W1(t)

[0016] TE1(t)=-TE2(t)

[0017] Artifact removal signal = R2(t) + NR1(t) = TE1(t) - N × TE2(t) + N(t) Formula 3

[0018] Then, the signal obtained by superimposing the N response signals R1(t) and R2(t) is as shown in Formula 3. The artifact signal can be regarded as two signals of equal magnitude and opposite direction. Superimposing them together can cancel out the artifacts and leave the required TEOAE signal component.

[0019] This method can effectively remove most artifacts, but it has the following limitations: ① The two stimulus sound intensities must be in the saturation zone of the subject's cochlear otoacoustic signal response, but there are great differences between people's ears, and the adaptability of this method needs further analysis; ② Standard number: IEC60645-6, an important standard for audiometric equipment in the field of electroacoustics, stipulates in Chapter 5.1.4.2 that the test range of Type 1 otoacoustic emission equipment TEOAE includes at least 60dB-90dB peSPL. When measuring the 60-70dB range, the 3 small and 1 large test method will have problems. Summary of the invention

[0020] The purpose of the present application is to overcome the problem that in order to effectively remove the interference of artifacts in DNLR testing, the saturation area and the differences in thresholds of different human ears need to be considered, and to provide a TEOAE otoacoustic emission signal generation method and a DNLR testing method.

[0021] In a first aspect, a method for generating a TEOAE otoacoustic emission signal is provided, comprising:

[0022] Generate three stimulation electrical signals: U1(t), U2(t), and U3(t), and the function expressions of the three stimulation electrical signals are respectively:

[0023]

[0024] Where, I is the amplitude of the electrical signal, and T is the duration of the electrical signal;

[0025] Connecting the three stimulation electrical signals to the speakers respectively to convert them into three stimulation sound signals;

[0026] The three stimulation sound signals are used to stimulate the cochlea and collect the corresponding response signals: R1(t), R2(t), R3(t), and random noise: N1(t), N2(t), N3(t), where the expressions of R1(t), R2(t), and R3(t) are:

[0027] R1(t)=W1(t)+TE1(t)+N1(t)

[0028] R2(t)=W2(t)+TE2(t)+N2(t)

[0029] R3(t)=W3(t)+TE3(t)+N3(t)

[0030] Among them, W1(t), W2(t), and W3(t) are the artifacts corresponding to the three stimulus sound signals, N1(t), N2(t), and N3(t) are the random noises collected corresponding to the three stimulus sound signals, and TE1(t), TE2(t), and TE3(t) are the TEOAE otoacoustic emission signals corresponding to the three stimulus sound signals;

[0031] The response signals are superimposed to obtain the TEOAE otoacoustic emission signal: TE1(t)+N(t).

[0032] In some possible implementations, the three stimulation electrical signals are generated by controlling an audio chip using a hardware device, wherein the hardware device includes a computer and a microcontroller.

[0033] In some possible implementations, the speaker adopts a frequency of 60kHZ-68kHZ.

[0034] In some possible implementations, TE1(t)=TE2(t)=-TE3(t).

[0035] In some possible implementations, U1(t)+U2(t)+U3(t)=0, W1(t)+W2(t)+W3(t)=0.

[0036] In a second aspect, a TEOAE otoacoustic emission signal generating device is provided, comprising:

[0037] The generating module is used to generate three stimulation electrical signals: U1(t), U2(t), and U3(t). The function expressions of the three stimulation electrical signals are respectively:

[0038]

[0039] Where, I is the amplitude of the electrical signal, and T is the duration of the electrical signal;

[0040] A conversion module, used for respectively connecting the three stimulation electrical signals to the speakers to convert them into three stimulation sound signals;

[0041] The test module is used to stimulate the cochlea with the three stimulation sound signals and collect the corresponding response signals: R1(t), R2(t), R3(t), and random noise: N1(t), N2(t), N3(t), wherein the expressions of R1(t), R2(t), R3(t) are:

[0042] R1(t)=W1(t)+TE1(t)+N1(t)

[0043] R2(t)=W2(t)+TE2(t)+N2(t)

[0044] R3(t)=W3(t)+TE3(t)+N3(t)

[0045] Among them, W1(t), W2(t), and W3(t) are the artifacts corresponding to the three stimulus sound signals, N1(t), N2(t), and N3(t) are the random noises collected corresponding to the three stimulus sound signals, and TE1(t), TE2(t), and TE3(t) are the TEOAE otoacoustic emission signals corresponding to the three stimulus sound signals;

[0046] The superposition module is used to superimpose the response signals to obtain a TEOAE otoacoustic emission signal: TE1(t)+N(t).

[0047] In a third aspect, a DNLR testing method is provided, wherein a TEOAE otoacoustic emission signal generated by any one of the implementations of the first aspect is used to perform a DNLR test.

[0048] In a fourth aspect, a computer program product comprising instructions is provided, which, when executed on a computer, enables the computer to execute the method described in the first aspect.

[0049] In a fifth aspect, a computer-readable storage medium is provided, wherein the computer-readable medium stores a program code for execution by a device, wherein the program code includes steps for executing the method in any one of the implementations of the first aspect described above.

[0050] In a sixth aspect, an electronic device is provided, comprising a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements a method as in any one of the implementations in the first aspect above.

[0051] The present application has the following beneficial effects: through the TEOAE otoacoustic emission signal generated by the present application, the peak-to-peak equivalent sound pressure level of each stimulation signal is equal, and one of the stimulation signals has an opposite phase, so that the three signals are superimposed on each other to remove artifacts. Since the peak-to-peak equivalent sound pressure levels of the three stimulation signals are equal, there is no need to consider the saturation area and the differences in thresholds of different human ears, which makes the DNLR algorithm more adaptable. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application.

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0054] Figure 1 is a flow chart of the method for generating TEOAE otoacoustic emission signals according to Example 1 of the present application;

[0055] Figure 2 It is a tone-burst stimulus sound model diagram in the prior art;

[0056] Figure 3(a) is a click stimulus model in the prior art Figure 1 ;

[0057] Figure 3(b) is a click stimulus model in the prior art Figure 2 ;

[0058] Figure 4 It is a 3 small and 1 large stimulus signal diagram in the prior art;

[0059] Figure 5 It is a relationship diagram between TEOAE stimulus signal and response signal in the prior art;

[0060] Figure 6 These are three stimulation electrical signal diagrams in the TEOAE otoacoustic emission signal generation method of Example 1 of the present application;

[0061] Figure 7 is a structural block diagram of a TEOAE otoacoustic emission signal generating device according to Embodiment 2 of the present application;

[0062] Figure 8 It is a schematic diagram of the internal structure of the electronic device of Example 6 of the present application.

[0063] Reference numerals:

[0064] 100, generation module; 200, conversion module; 300, test module; 400, superposition module. DETAILED DESCRIPTION

[0065] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0066] Example 1

[0067] A method for generating a TEOAE otoacoustic emission signal involved in Example 1 of the present application includes: generating three stimulation electrical signals: U1(t), U2(t), and U3(t); connecting the three stimulation electrical signals to a speaker respectively to convert them into three stimulation sound signals; using the three stimulation sound signals to stimulate the cochlea respectively and collect corresponding response signals: R1(t), R2(t), and R3(t), as well as random noise: N1(t), N2(t), and N3(t); superimposing the response signals to obtain a TEOAE otoacoustic emission signal: TE1(t)+N(t). The TEOAE otoacoustic emission signal generated by the method makes the peak-to-peak equivalent sound pressure level of each stimulation signal equal, and one of the stimulation signals has an opposite phase, so that the three signals are superimposed on each other to remove artifacts. Since the peak-to-peak equivalent sound pressure levels of the three stimulation signals are equal, there is no need to consider the saturation area and the difference in thresholds of different human ears, so that the DNLR algorithm is more adaptable.

[0068] Specifically, Figure 1 A flow chart of the method for generating a TEOAE otoacoustic emission signal in application embodiment 1 is shown, comprising:

[0069] S100, generating three stimulation electrical signals: U1(t), U2(t), U3(t), specifically including the following steps:

[0070] The hardware device (which can be a computer, microcontroller MCU, etc.) is used to control the audio chip to output three stimulation electrical signals. The generation formula and picture of the electrical signals are as follows.

[0071] U1(t), U2(t), and U3(t) are the electrical signal function expression formulas of signal 1, signal 2, and signal 3 respectively; wherein I is the electrical signal amplitude, which is determined according to the actual output sound pressure level value; T represents the duration of the electrical signal, and T=33us in this embodiment.

[0072] from Figure 6 It can be seen that the peak-to-peak amplitude of these three stimulation signals is 3I, signal 1 and signal 2 are negative phases, and signal 3 is positive phase.

[0073]

[0074] S200. Connect the three stimulation electrical signals to the speakers respectively to convert them into three stimulation sound signals. The sampling rate can be 60kHZ-68kHZ, for example: 60kHZ, 62kHZ, 64kHZ, 65kHZ, 68kHZ, etc. In this embodiment, 64kHz is selected.

[0075] S300, using the three stimulation sound signals to stimulate the cochlea respectively and collect corresponding response signals: R1(t), R2(t), R3(t), and random noise: N1(t), N2(t), N3(t);

[0076] Specifically, 3 groups form a test signal queue. By superimposing the data collected 3 times, it can be seen that the remaining OAE signals and noise signals are finally obtained.

[0077] R1(t), R2(t), and R3(t) are the response signals collected corresponding to the three stimulus signals. The peak-to-peak value and phase of signal 1 and signal 2 are equal, so TE1(t) = TE2(t); signal 3 is opposite in phase to signal 1 and signal 2, so TE1(t) = TE2(t) = -TE3(t).

[0078] N1(t), N2(t), and N3(t) are the random noises collected corresponding to the three stimulation signals.

[0079] By observing the stimulation signal, we can see that U1(t)+U2(t)+U3(t)=0, so the artifact W1(t)+W2(t)+W3(t)=0.

[0080] TE1(t), TE2(t), and TE3(t) are TEOAE otoacoustic emission signals corresponding to signal 1, signal 2, and signal 3.

[0081] R1(t)=W1(t)+TE1(t)+N1(t)

[0082] R2(t)=W2(t)+TE2(t)+N2(t)

[0083] R3(t)=W3(t)+TE3(t)+N3(t)

[0084] TE1(t)=TE2(t)=-TE3(t)

[0085] W1(t)+W2(t)+W3(t)=0

[0086] N(t)=N1(t)+N2(t)+N3(t)

[0087] R1(t)+R2(t)+R3(t)=TE1(t)+TE2(t)+TE3(t)+N(t)

[0088] =TE1(t)+N(t)

[0089] It is known that the peak-to-peak amplitudes (3I) of signals 1 / 2 / 3 are the same, where the stimulation phases of signals 1 and 2 are negative, and the stimulation phase of signal 3 is positive. Such a signal combination does not matter whether the stimulation signal is in the saturation or linear region, or whether each person's saturation region and linear region thresholds are different. The OAE (signal) feedback signals obtained by the three stimulation signals are the same, except that the OAE signal of signal 3 is opposite in phase to that of signal 1 / 2.

[0090] S400, superimpose the signals R1(t), R2(t), and R3(t), and finally obtain a TEOAE otoacoustic emission signal: TE1(t)+N(t). Through this test, the artifact signal W(t) is removed to obtain a TEOAE otoacoustic emission signal.

[0091] In this embodiment, the peak-to-peak equivalent sound pressure level of each stimulation signal can be made equal through the TEOAE otoacoustic emission signal, and one of the stimulation signals has an opposite phase, so that the three signals can be superimposed on each other to remove artifacts. Because the peak-to-peak equivalent sound pressure levels of the three stimulation signals are equal, there is no need to consider the saturation area and the difference in thresholds of different human ears, making the DNLR algorithm more applicable.

[0092] Example 2

[0093] like Figure 7 As shown, a TEOAE otoacoustic emission signal generating device involved in Embodiment 2 of the present application includes:

[0094] The generating module 100 is used to generate three stimulation electrical signals: U1(t), U2(t), and U3(t). The function expressions of the three stimulation electrical signals are respectively:

[0095]

[0096]

[0097] Where, I is the amplitude of the electrical signal, and T is the duration of the electrical signal;

[0098] A conversion module 200, used for respectively connecting the three stimulation electrical signals to the speakers to convert them into three stimulation sound signals;

[0099] The test module 300 is used to stimulate the cochlea with the three stimulation sound signals and collect corresponding response signals: R1(t), R2(t), R3(t), and random noise: N1(t), N2(t), N3(t), wherein the expressions of R1(t), R2(t), R3(t) are respectively:

[0100] R1(t)=W1(t)+TE1(t)+N1(t)

[0101] R2(t)=W2(t)+TE2(t)+N2(t)

[0102] R3(t)=W3(t)+TE3(t)+N3(t)

[0103] Among them, W1(t), W2(t), and W3(t) are the artifacts corresponding to the three stimulus sound signals, N1(t), N2(t), and N3(t) are the random noises collected corresponding to the three stimulus sound signals, and TE1(t), TE2(t), and TE3(t) are the TEOAE otoacoustic emission signals corresponding to the three stimulus sound signals;

[0104] The superposition module 400 is used to superimpose the response signals to obtain a TEOAE otoacoustic emission signal: TE1(t)+N(t).

[0105] It should be noted that other specific implementations of the TEOAE otoacoustic emission signal generating device in this embodiment can refer to the specific implementations of the TEOAE otoacoustic emission signal generating method mentioned above, and will not be described again here to avoid redundancy.

[0106] Example 3

[0107] The DNLR testing method involved in Example 3 of the present application uses a TEOAE otoacoustic emission signal generated by a method in any one of the implementation methods in the above-mentioned Example 1 to perform a DNLR test.

[0108] Example 4

[0109] A computer program product involved in Example 4 of the present application is used to store a computer program. When the computer program runs on a computer, the method in any one of the implementation modes in Example 1 of the present application is implemented.

[0110] Example 5

[0111] A computer-readable storage medium involved in Embodiment 5 of the present application, wherein the computer-readable storage medium stores a program code for execution by a device, wherein the program code includes steps for executing a method in any one of the implementations in Embodiment 1 of the present application;

[0112] Among them, the computer-readable storage medium can be a read-only memory (ROM), a static storage device, a dynamic storage device or a random access memory (RAM); the computer-readable storage medium can store program code, and when the program stored in the computer-readable storage medium is executed by the processor, the processor is used to execute the steps of the method in any one of the implementation methods in Example 1 of the present application.

[0113] Example 6

[0114] like Figure 8 As shown, an electronic device involved in Embodiment 6 of the present application includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, and when the program or instruction is executed by the processor, a method in any one of the implementations in Embodiment 1 of the present application is implemented;

[0115] Among them, the processor can adopt a general-purpose central processing unit (CPU), a microprocessor, an application specific integrated circuit (ASIC), a graphics processing unit (GPU) or one or more integrated circuits to execute relevant programs to implement the method in any one of the implementation methods in Example 1 of the present application.

[0116] The processor may also be an integrated circuit electronic device with signal processing capability. In the implementation process, each step of the method in any implementation of Embodiment 1 of the present application may be completed by an integrated logic circuit of hardware in the processor or by instructions in software form.

[0117] The above-mentioned processor may also be a general-purpose processor, a digital signal processor, an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application may be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present application may be directly embodied as being executed by a hardware decoding processor, or may be executed by a combination of hardware and software modules in a decoding processor. The software module may be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor reads the information in the memory, and completes the functions required to be performed by the unit included in the data processing device of the embodiment of the present application in combination with its hardware, or executes the method in any one of the implementation modes in the embodiment 1 of the present application.

[0118] The above are only preferred specific implementations of the present application; however, the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solution and its improved ideas of the present application within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for generating TEOAE otoacoustic emission signals, characterized in that: include: Generate three stimulation electrical signals: U1(t), U2(t), and U3(t), and the function expressions of the three stimulation electrical signals are respectively: Where, I is the amplitude of the electrical signal, and T is the duration of the electrical signal; Connecting the three stimulation electrical signals to the speakers respectively to convert them into three stimulation sound signals; The three stimulation sound signals are used to stimulate the cochlea and collect the corresponding response signals: R1(t), R2(t), R3(t), and random noise: N1(t), N2(t), N3(t), where the expressions of R1(t), R2(t), and R3(t) are: R1(t)=W1(t)+TE1(t)+N1(t) R2(t)=W2(t)+TE2(t)+N2(t) R3(t)=W3(t)+TE3(t)+N3(t) Among them, W1(t), W2(t), and W3(t) are the artifacts corresponding to the three stimulus sound signals, N1(t), N2(t), and N3(t) are the random noises collected corresponding to the three stimulus sound signals, and TE1(t), TE2(t), and TE3(t) are the TEOAE otoacoustic emission signals corresponding to the three stimulus sound signals; The response signals are superimposed to obtain the TEOAE otoacoustic emission signal: TE1(t)+N(t).

2. The TEOAE otoacoustic emission signal generation method according to claim 1, characterized in that: The three stimulation electrical signals are generated by controlling an audio chip using a hardware device, wherein the hardware device includes a computer and a microcontroller.

3. The TEOAE otoacoustic emission signal generation method according to claim 1, characterized in that: The speaker adopts a frequency of 60kHZ-68kHZ.

4. The method for generating TEOAE otoacoustic emission signals according to claim 1, characterized in that: TE1(t)=TE2(t)=-TE3(t).

5. The method for generating TEOAE otoacoustic emission signals according to claim 1, characterized in that: U1(t)+U2(t)+U3(t)=0, W1(t)+W2(t)+W3(t)=0.

6. A TEOAE otoacoustic emission signal generating device, characterized in that: include: The generating module is used to generate three stimulation electrical signals: U1(t), U2(t), and U3(t). The function expressions of the three stimulation electrical signals are respectively: Where, I is the amplitude of the electrical signal, and T is the duration of the electrical signal; A conversion module, used for respectively connecting the three stimulation electrical signals to the speakers to convert them into three stimulation sound signals; The test module is used to stimulate the cochlea with the three stimulation sound signals and collect the corresponding response signals: R1(t), R2(t), R3(t), and random noise: N1(t), N2(t), N3(t), wherein the expressions of R1(t), R2(t), R3(t) are: R1(t)=W1(t)+TE1(t)+N1(t) R2(t)=W2(t)+TE2(t)+N2(t) R3(t)=W3(t)+TE3(t)+N3(t) Among them, W1(t), W2(t), and W3(t) are the artifacts corresponding to the three stimulus sound signals, N1(t), N2(t), and N3(t) are the random noises collected corresponding to the three stimulus sound signals, and TE1(t), TE2(t), and TE3(t) are the TEOAE otoacoustic emission signals corresponding to the three stimulus sound signals; The superposition module is used to superimpose the response signals to obtain a TEOAE otoacoustic emission signal: TE1(t)+N(t).

7. A DNLR testing method, characterized in that: The DNLR test is performed using the TEOAE otoacoustic emission signal generated by the method according to any one of claims 1 to 5.

8. A computer program product, characterized in that The computer program product stores computer instructions, and when the computer instructions are executed by a processor, the method according to any one of claims 1 to 5 is implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program code for execution by a device, wherein the program code includes steps for executing the method according to any one of claims 1 to 5.

10. An electronic device, characterized in that: The electronic device comprises a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the method as claimed in any one of claims 1 to 5.

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