Wireless otoacoustic emission detection system

Abstract

The invention discloses a wireless otoacoustic emission detection system, which adopts a highly integrated circuit and a small packaging chip to realize circuit miniaturization in order to reduce adverse effects caused by a lead wire connected between a host and a detection probe of an existing commercial otoacoustic emission detection system. In the hardware circuit implementation, only two main chips, namely a main control chip and an audio coding and decoding chip, are adopted to realize the circuit with the functions. A chip which is small in packaging size, high in signal processing capacity and low in power consumption and integrates a radio-frequency transmitting circuit and a radio-frequency receiving circuit is selected in a main control chip. The coding and decoding chip is a chip which is small in packaging size, low in circuit noise, multi-channel in input, programmable in input signal amplification factor, multi-channel in audio power amplifier output and integrated with an analog-to-digital conversion circuit and a digital-to-analog conversion circuit. And the output of the microphone is simultaneously connected to the multi-channel input of the coding and decoding chip, and corresponding processing is carried out on software and algorithms, so that the overall dynamic range of the system is improved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of otoacoustic emission, and particularly relates to a wireless otoacoustic emission detection system. BACKGROUND

[0002] Otoacoustic emission is a kind of weak audio energy generated in the cochlea, conducted and released into the external auditory canal through the auditory ossicular chain and eardrum. It reflects that the cochlea not only passively senses sound signals, but also actively generates sound energy. The discovery of otoacoustic emission is an important supplement to the physiological function and characteristics of the cochlea, and provides a new method for the study of cochlear physiological mechanism.

[0003] Since otoacoustic emission was first discovered by British scholar David Kemp in 1978, it has been increasingly concerned as an objective, non-invasive and sensitive otological clinical examination and laboratory research method, and has been widely used in auditory mechanism research, hearing screening, objective hearing function evaluation of infants and the like.

[0004] According to whether there is an external stimulus sound signal and what type of stimulus sound induces, otoacoustic emission can be divided into spontaneous otoacoustic emission and evoked otoacoustic emission according to different mechanisms. Unlike spontaneous otoacoustic emission which comes from the response of cochlear spontaneous activity, evoked otoacoustic emission causes various cochlear responses through different external stimulus sound modes. The two most commonly used evoked otoacoustic emissions in clinical practice are distortion product otoacoustic emission (DPOAE) and transient evoked otoacoustic emission (TEOAE).

[0005] As shown in Figure 1 , the currently commercially available otoacoustic emission detection system is usually composed of a handheld host and a detection probe inserted into the ear canal. As shown in Figure 2 , the handheld host is composed of a digital-to-analog conversion circuit, an audio amplification circuit, a micro-signal conditioning circuit, an analog-to-digital conversion circuit, a key, a display and a master control chip, and the detection probe is usually composed of a microphone and a sound emitting speaker. The host and the detection probe are connected by a wire to transmit the required analog signal. Since the wire itself has a weight when it is hanging down, it increases the possibility of the detection probe sliding out of the ear canal, so that the operator has to leave a hand to hold the wire during the actual detection process, which increases the complexity and unreliability in the actual operation process.

[0006] In addition, in most cases of newborn hearing screening, the surrounding environment does not meet the required quiet conditions, and appropriate measures need to be taken to reduce the influence of environmental noise to increase the robustness of detection. However, due to the existence of the wire, it is actually difficult to implement effective noise isolation measures, so that the final detection result may be invalid.

[0007] In addition, since the otoacoustic emission signal is very weak, usually below 20dBSPL, but the evoked emission signal of the TEOAE is above 83dB, after being amplified by the ear canal, the data containing the TEOAE signal received by the microphone has a very large dynamic range. Therefore, the host of the traditional commercial otoacoustic emission detection system pays special attention to the processing of the small signal, resulting in a relatively complex circuit implementation before analog-to-digital conversion, and a large occupied area. SUMMARY

[0008] The purpose of the present application is to provide a wireless otoacoustic emission detection system to reduce the adverse effects of the wires connecting the host and the detection probe of the current commercial otoacoustic emission detection system.

[0009] To solve the above problems, the technical scheme of the present application is: A wireless otoacoustic emission detection system, comprising: a display device for data display and human-computer interaction; a miniature otoacoustic emission detection probe connected to the display device by a wireless manner and performing data communication, the detection probe comprising a radio frequency transmitting and receiving circuit, a signal processing circuit, an analog-to-digital conversion and digital-to-analog conversion circuit, a signal conditioning circuit, a microphone and a loudspeaker; The detection probe is miniaturized or micro-sized by the following means: The radio frequency transmitting and receiving circuit and the signal processing circuit are integrated to form a master control chip; The analog-to-digital conversion and digital-to-analog conversion circuit and the signal conditioning circuit are integrated to form an audio codec chip; The master control chip is in communication connection with the audio codec chip to realize otoacoustic emission detection; The output of the microphone is connected to multiple channels of the audio codec chip, and the audio codec chip processes the received audio signal according to a preset algorithm to improve the dynamic range of the signal.

[0010] According to an embodiment of the present application, the audio codec chip improves the dynamic range of the signal by the following means: Different amplification factors are set for the multiple channels to capture signals of different intensities; After sampling is completed, the sampled data is attenuated by the corresponding amplification factor to restore it to the original amplitude; The corresponding channel data is detected in sequence according to the amplification factors from large to small to determine whether it is overflowed, if not, the sampling data is valid data, so as to improve the dynamic range of the system without affecting the signal-to-noise ratio.

[0011] According to an embodiment of the present application, the audio codec chip comprises a channel gain setting unit, a sampling and attenuation unit, a data validity detection unit and a dynamic range calculation unit; The channel gain setting unit is configured to set different amplification multiples for the multiple channels to capture signals of different intensities. The sampling and attenuation unit is configured to sample the audio signals transmitted by the microphones, and after the sampling is completed, attenuate the sampled data by the corresponding amplification multiple to restore the original amplitude. The data validity detection unit is configured to detect whether the channel data is overflowed in turn according to the amplification multiple from large to small, and if not, the sampled data is valid data. The dynamic range calculation unit is configured to calculate the dynamic range of the system according to the following formula based on the valid data: Dynamic Range = 20log10(Maximum Amplitude / Minimum Amplitude) Wherein, Maximum Amplitude refers to the maximum value of the audio signal, and Minimum Amplitude is the minimum value detected by the system.

[0012] According to an embodiment of the present application, the data validity detection unit detects whether the channel data is overflowed by threshold detection or dynamic range compression algorithm.

[0013] According to an embodiment of the present application, the audio codec chip improves the dynamic range of the signal by the following way: Set the same amplification multiple for the multiple channels, and then add the data of each channel to improve the dynamic range of the corresponding multiple.

[0014] According to an embodiment of the present application, the detection probe is covered with a noise reduction earmuff, which is a physical noise reduction earmuff, and the inside of the earmuff is provided with sound-absorbing material and sound insulation structure, which can effectively reduce the interference of external environmental noise on the detection probe and the ear of the measured person.

[0015] According to an embodiment of the present application, the display device and the detection probe adopt a low-power and high-stability wireless communication protocol for data transmission to ensure the accuracy and reliability of data transmission.

[0016] According to an embodiment of the present application, the detection probe further comprises a power module, which adopts a miniaturized and high-energy-density battery and is equipped with a low-power power management system to prolong the use time of the detection probe.

[0017] According to an embodiment of the present application, the shell of the detection probe is made of a material with good lightweight, high strength and biocompatibility to improve the wearing comfort and safety of the detection probe.

[0018] According to an embodiment of the present application, the master chip is configured to automatically detect the state of hardware and software of the detection probe before each time the otoacoustic emission detection is performed, so as to ensure the accuracy of the detection result.

[0019] The present application has the following advantages and positive effects compared with the prior art due to the above technical solutions. In the wireless otoacoustic emission detection system in an embodiment of the present application, highly integrated circuits and small packaging chips are used to realize miniaturization of the circuit in order to reduce the adverse effects of the wires connecting the host and the detection probe in the current commercial otoacoustic emission detection system. Only two main chips, i.e. a master chip and an audio codec chip, are used in the hardware circuit implementation to realize the circuit with the above functions. A chip with small packaging size, strong signal processing capability, low power consumption, and integrated radio frequency transmitting and receiving circuit is selected in the master chip. A chip with small packaging size, low circuit noise, multi-channel input, programmable input signal amplification multiple, multi-channel audio power output, and integrated analog-digital conversion and digital-analog conversion circuit is selected as the codec chip. The output of the microphone is connected to the multi-channel input of the codec chip, and corresponding processing is performed on the software and algorithm to improve the overall dynamic range of the system. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 Application diagram of the existing otoacoustic emission detection system; Figure 2 Block diagram of the existing otoacoustic emission detection system; Figure 3 Structure diagram of the wireless otoacoustic emission detection system in an embodiment of the present application. DETAILED DESCRIPTION

[0021] The present application will be further described in detail below in combination with the drawings and specific embodiments. The advantages and features of the present application will be more apparent according to the following description and claims.

[0022] In order to reduce the adverse effects of the wires connecting the host and the detection probe in the current commercial otoacoustic emission detection system, and reduce the adverse effects of environmental noise on the detection result, the present embodiment provides a wireless otoacoustic emission detection system which is extremely convenient to operate and reduces the influence of environmental noise. Please refer to Figure 3 The wireless otoacoustic emission detection system is composed of a display device and a miniature otoacoustic emission detection probe (hereinafter referred to as a detection probe), and the display device and the detection probe are connected in a wireless manner and perform data communication. The display device is used for data display, human-computer interaction, etc. The detection probe is composed of a microphone, a loudspeaker, a radio frequency transmitting and receiving circuit, a signal processing circuit, an analog-digital conversion and digital-analog conversion circuit, and a signal conditioning circuit.

[0023] The wireless otoacoustic emission detection system adopts wireless communication mode to realize data communication between the detection probe and the display device, removes the weight of the wire, reduces the possibility of the detection probe sliding out of the ear canal, and enables the operator to not hold the wire during the actual detection process, thereby improving the convenience during the actual operation process.

[0024] The wireless otoacoustic emission detection system is equivalent to implanting the main circuit in the original handheld host into a small detection probe, and the direct problem brought by this is that the detection probe will be made very large, which will be limited in actual use. Therefore, how to make the detection probe small or micro in design while ensuring that the dynamic range of the signal meets the processing requirements is crucial.

[0025] In view of the above situation, the embodiment adopts highly integrated circuits and small package chips in hardware design to realize circuit miniaturization. Only two main chips, a master control chip and an audio codec chip, are used in the hardware circuit implementation to realize the above functions.

[0026] Specifically, the detection probe realizes miniaturization or micro-miniaturization in the following way: The radio frequency transmitting and receiving circuit and the signal processing circuit are integrated to form a master control chip; the analog-to-digital conversion and digital-to-analog conversion circuit and the signal conditioning circuit are integrated to form an audio codec chip; and the microphone and the loudspeaker are also micro.

[0027] The detection probe realized in the above way comprises a master control chip, an audio codec chip, a microphone and a loudspeaker, wherein the master control chip is in communication connection with the audio codec chip, the output of the microphone is connected to a signal conditioning channel of the audio codec chip, and the audio output of the audio codec chip is connected to the loudspeaker, so as to realize otoacoustic emission detection. In actual application, the master control chip is selected to be a chip with small package size, strong signal processing capability, low power consumption and integrated radio frequency transmitting and receiving circuit; and the audio codec chip is selected to be a chip with small package size, low circuit noise, multi-channel input and programmable input signal amplification multiple, multi-channel audio power output and integrated analog-to-digital conversion and digital-to-analog conversion circuit.

[0028] In the embodiment, the detection probe is miniaturized or micro-miniaturized while ensuring that the dynamic range of the signal meets the processing requirements. The dynamic range refers to the ratio between the maximum signal amplitude and the minimum signal amplitude that can be processed by the system, and is usually expressed in decibels (dB). In an audio system, the dynamic range reflects the range from the minimum detectable signal to the maximum undistorted signal. The embodiment realizes the improvement of the dynamic range through software and algorithms: Method one, set the same amplification multiple for the multi-channel of the audio codec chip, and then add the data of each channel to improve the signal-to-noise ratio of the received signal. For example, if the audio codec chip has four channels, each channel has an amplification multiple of 20 dB, and then the data of the four channels is added, which can improve the signal-to-noise ratio by 12 dB. Although this method does not improve the dynamic range of the system, it improves the signal-to-noise ratio, which is beneficial to the detection of otoacoustic signals.

[0029] Method two, set different amplification multiples for multiple channels to capture signals of different intensities; after sampling is completed, attenuate the sampled data by the corresponding amplification multiple to restore it to the original amplitude; in order of decreasing amplification multiple, check whether the data of the corresponding channel has overflowed, if not, the sampled data is valid, thereby achieving the improvement of the dynamic range of the system while not affecting the signal-to-noise ratio. For example, if the audio codec chip has four channels (it can also have six channels, or other number of channels), each channel is set to have an amplification multiple of 0 dB, 12 dB, 24 dB, and 36 dB, the system can capture signals in different amplitude ranges, which means that each channel can cover different signal intensity intervals.

[0030] After sampling is completed, the data of each channel is attenuated to restore it to the original amplitude level. Then, in order of decreasing amplification multiple, check whether the data of each channel has overflowed. If the data of a channel has not overflowed, it is considered as valid sampled data. This method can effectively expand the dynamic range of the system, with a maximum of 36 dB, because the system can handle a wider range from the smallest signal to the largest signal.

[0031] The reason why the signal-to-noise ratio is not improved is that the signal-to-noise ratio (SNR) is the ratio of signal power to noise power. Although the dynamic range is expanded by setting different gain for multiple channels, the noise level does not decrease, and the absolute intensity of the signal does not increase. Therefore, the signal-to-noise ratio remains unchanged.

[0032] This method achieves a significant improvement in dynamic range (36 dB) through multi-channel different gain setting and data validity check, but does not change the noise level or signal power of the system, so the signal-to-noise ratio remains unchanged.

[0033] Based on the above two methods, method one can be used to improve the signal-to-noise ratio in the conventional mode, and method two can be used for redundancy verification when the otoacoustic emission signal is detected to be abnormal. The abnormal otoacoustic emission signal here refers to a situation that does not meet the specified indicators. Through the combination of method one and method two, both the signal-to-noise ratio and the dynamic range can be improved.

[0034] If method two is used to improve the dynamic range of the system, the audio codec chip includes a channel gain setting unit, a sampling and attenuation unit, a data validity detection unit, and a dynamic range calculation unit. The channel gain setting unit is configured to set different amplification factors for multiple channels to capture signals of different intensities. The sampling and attenuation unit is configured to sample the audio signal transmitted by the microphone, and after sampling is complete, the sampled data is attenuated by the corresponding amplification factor to restore it to the original amplitude. The data validity detection unit is configured to detect whether the corresponding channel data is overflowed in order from large to small amplification factor, if not, the sampling data is valid data. The dynamic range calculation unit is configured to calculate the dynamic range of the system based on the valid data according to the following formula: Dynamic Range = 20log10(Maximum Amplitude / Minimum Amplitude) Where Maximum Amplitude refers to the maximum value of the audio signal, and Minimum Amplitude is the minimum value detected by the system.

[0035] In audio signal processing, checking whether the data of each channel is overflowed is a key step to ensure signal integrity and dynamic range expansion. The following methods can be used to achieve this: 1. Threshold-based overflow detection By setting a threshold (such as the maximum representable signal amplitude), it is detected whether the signal exceeds the threshold. If the signal amplitude exceeds the threshold, it is considered that overflow occurs. This method is simple and direct, and is suitable for fixed range signal processing.

[0036] 2. Overflow detection in dynamic range compression (DRC) In dynamic range compression, the amplitude of the signal is monitored in real time, and the gain is adjusted according to the preset threshold and compression ratio. If the signal amplitude exceeds the threshold, the gain is adjusted through the compression ratio to avoid signal overflow.

[0037] 3. Data type conversion and overflow detection When processing audio signals, in order to avoid overflow, the data type can be converted from a narrower range (such as 16 bits) to a wider range (such as 32 bits). For example, in the Android system, 16-bit audio data is converted to 32-bit for processing, and then the result is converted back to 16-bit through right shift operation and clamp operation, thereby avoiding overflow.

[0038] 4. Linear variation coefficient attenuation processing The signal is attenuated by introducing a linear variation coefficient. For example, when it is detected that the signal may overflow, the signal is linearly attenuated until the signal amplitude returns to a safe range.

[0039] 5. Fixed coefficient attenuation and amplification processing In some audio processing algorithms, the signal is attenuated or amplified by a fixed coefficient. For example, when it is detected that the signal overflows, the signal is attenuated by a fixed coefficient; conversely, if the signal amplitude is low, it is amplified.

[0040] 6. Normalization and smoothing processing Through normalization operation, the signal amplitude is limited within a preset range, and combined with smoothing processing (such as linear variation coefficient attenuation) to avoid overflow caused by too large signal jump.

[0041] In multi-channel audio processing with different gain settings, the above methods can be combined to realize overflow detection and processing, such as: Sample the signal of each channel and amplify the signal according to the preset gain setting; Detect whether the signal overflows through threshold detection or dynamic range compression algorithm; If overflow is detected, attenuate the signal to ensure that the signal amplitude is within a safe range; According to the order of gain from large to small, check whether the data of each channel is overflowed in turn, and select the channel data that is not overflowed as the valid signal.

[0042] The wireless otoacoustic emission detection system provided by the embodiment above realizes miniaturization, improves the dynamic range of the system, and meets the requirements without complex signal conditioning circuit when performing transient sound-induced otoacoustic emission. Compared with existing otoacoustic emission detection systems, the circuit is simplified, the weight is reduced, and the detection is more smoothly.

[0043] Further, a noise reduction earmuff is coated on the detection probe, which is a physical noise reduction earmuff, and sound absorbing materials and sound insulation structures are arranged inside the noise reduction earmuff, which can effectively reduce the interference of external environmental noise on the detection probe and the ears of the measured person. For example, the noise reduction earmuff realizes good sound insulation effect through multiple layers of sound absorbing materials (such as foamed plastic, sponge, and sound insulation cotton) and sealing design.

[0044] In the embodiment, a low-power and high-stability wireless communication protocol is used for data transmission between the display device and the detection probe to ensure the accuracy and reliability of data transmission. For example, Bluetooth, wifi, zigbee, etc. are used.

[0045] Further, the detection probe also comprises a power module, which adopts a miniaturized, high-energy-density battery and is equipped with a low-power-consumption power management system to prolong the use time of the detection probe. The power module can be selected as a MicroSiP power module or other models.

[0046] The shell of the detection probe can be made of lightweight, high-strength, and biocompatible materials to improve the wearing comfort and safety of the detection probe. For example, polycarbonate (PC), polypropylene, carbon fiber reinforced plastic, etc.

[0047] The main control chip in the detection probe can be configured to automatically detect the hardware and software states of the detection probe before each otoacoustic emission detection to ensure the accuracy of the detection results. The hardware state detection is mainly achieved through the following steps: Probe sealing detection: Before detection, the system automatically checks the sealing of the probe and the ear canal. If the sealing is good, the software will show that the probe state is good, otherwise the user will be prompted to reposition the probe.

[0048] Probe position detection: By playing a sweep frequency stimulus sound and performing a short-time Fourier transform, it is detected whether the probe is in the best position. If the frequency spectrum overlaps and the background noise does not interfere with the effective frequency range, it is considered that the probe position is appropriate.

[0049] Acoustic performance calibration: Using sound pressure feedback technology, the amplitude of the probe's stimulus sound is calibrated. By playing the stimulus sound in a closed environment and feeding back the correction, it is ensured that the amplitude of each frequency component reaches the set value.

[0050] The software state detection is mainly achieved through the following steps: System self-check: Before each detection, the system automatically runs a self-check program to check the integrity and function of the software modules.

[0051] Signal processing module detection: The sound signal is converted into a digital electrical signal by the signal acquisition unit, and the signal spectrum is calculated to analyze the frequency, sound pressure level, and distortion of the pure tone.

[0052] Real-time data monitoring: During the detection process, the system monitors the data quality in real time, automatically deletes abnormal data caused by subject action or environmental noise interference, and reacquires.

[0053] In specific implementation, the hardware part ensures that the probe is in the best working state through acoustic performance calibration and sealing detection of the probe; the software part ensures the accuracy and reliability of the data through signal processing and real-time monitoring.

[0054] The host computer can send test instructions to control the operation of the sound generating unit and the signal acquisition unit, receive and analyze data in real time, and finally feed back the results to the user.

[0055] Or use intelligent algorithm assistance: use fast Fourier transform (FFT) and machine learning algorithm to analyze and process the collected signals, automatically identify abnormal conditions and correct them.

[0056] In addition, the display device has a touch screen operation interface, which can facilitate users to set parameters, view data and operate control. Moreover, the display device can store and export detection data, which is convenient for users to analyze and process subsequently.

[0057] In summary, the wireless otoacoustic emission detection system integrates audio amplification circuit, signal conditioning circuit, analog / digital conversion circuit, radio frequency transmission and reception circuit, and main control chip into the detection probe, and connects and communicates with the display device through wireless mode, so as to reduce the adverse effects of the operation process, increase the robustness of the otoacoustic emission signal detection, and miniaturize the detection probe, even microsize it, which brings convenience to the actual detection. The physical noise isolation earmuff covers the auricle of the measured person and the detection probe, so as to reduce the adverse effects of environmental noise on the detection results and increase the robustness of the otoacoustic emission signal detection.

[0058] The embodiments of the present application are described in detail above in combination with the drawings, but the present application is not limited to the above-described embodiments. Even if various changes are made to the present application, if the changes fall within the scope of the claims of the present application and equivalent technologies, they still fall within the protection scope of the present application.

Claims

1. A wireless otoacoustic emission detection system, characterized in that, include: Display devices are used for data display and human-computer interaction; A miniature otoacoustic emission detection probe is wirelessly connected to the display device and communicates with it for data. The miniature otoacoustic emission detection probe includes a radio frequency transmitting and receiving circuit, a signal processing circuit, an analog-to-digital conversion circuit and a digital-to-analog conversion circuit, a signal conditioning circuit, a microphone and a speaker. The miniature otoacoustic emission detection probe is miniaturized or micronized through the following methods: The main control chip is formed by integrating the radio frequency transmitting and receiving circuits and the signal processing circuits. The analog-to-digital converter and digital-to-analog converter circuits, as well as the signal conditioning circuit, are integrated to form an audio codec chip; The main control chip is connected to the audio codec chip to realize otoacoustic emission detection; The microphone output is connected to multiple channels of the audio codec chip, which processes the received audio signal according to a preset algorithm to improve the dynamic range of the signal.

2. The wireless otoacoustic emission detection system as described in claim 1, characterized in that, The audio codec chip improves the dynamic range of the signal in the following ways: Different amplification factors are set for multiple channels to capture signals of different intensities; After sampling is completed, the sampled data will be attenuated by the corresponding amplification factor to restore it to its original amplitude; The system sequentially checks whether the data of the corresponding channel overflows by analyzing the magnification factor from largest to smallest. If not, the sampled data is considered valid, thereby improving the dynamic range of the system without affecting the signal-to-noise ratio.

3. The wireless otoacoustic emission detection system as described in claim 2, characterized in that, The audio codec chip includes a channel gain setting unit, a sampling and attenuation unit, a data validity detection unit, and a dynamic range calculation unit. The channel gain setting unit is configured to set different amplification factors for multiple channels in order to capture signals of different intensities; The sampling and attenuation unit is configured to sample the audio signal transmitted by the microphone, and after sampling is completed, attenuate the sampled data by a corresponding amplification factor to restore it to its original amplitude. The data validity detection unit is configured to detect whether the data of the corresponding channel overflows in descending order of magnification. If not, the sampled data is valid data. The dynamic range calculation unit is configured to calculate the dynamic range of the system based on valid data using the following formula: Dynamic Range = 20log10(Maximum Amplitude / Minimum Amplitude) Among them, Maximum Amplitude refers to the maximum value of the audio signal, and Minimum Amplitude is the minimum value detected by the system.

4. The wireless otoacoustic emission detection system as described in claim 3, characterized in that, The data validity detection unit detects whether channel data overflows through threshold detection or dynamic range compression algorithm.

5. The wireless otoacoustic emission detection system as described in claim 1, characterized in that, The audio codec chip improves the dynamic range of the signal in the following ways: Set the same amplification factor for multiple channels, and then add the data from each channel together to improve the dynamic range of the corresponding factor.

6. The wireless otoacoustic emission detection system as described in claim 1, characterized in that, The miniature otoacoustic emission detection probe is covered with a noise-reducing earmuff. The noise-reducing earmuff is a physical noise-isolating earmuff with sound-absorbing material and sound-insulating structure inside to reduce the interference of external environmental noise on the detection probe and the ears of the person being tested.

7. The wireless otoacoustic emission detection system as described in claim 1, characterized in that, The display device and the miniature otoacoustic emission detection probe use a low-power, high-stability wireless communication protocol for data transmission to ensure the accuracy and reliability of data transmission.

8. The wireless otoacoustic emission detection system as described in claim 1, characterized in that, The miniature otoacoustic emission detection probe also includes a power module, which uses a miniaturized, high-energy-density battery and is equipped with a low-power power management system to extend the service life of the detection probe.

9. The wireless otoacoustic emission detection system as described in claim 1, characterized in that, The shell of the miniature otoacoustic emission detection probe is made of a lightweight, high-strength, and biocompatible material to improve the wearing comfort and safety of the probe.

10. The wireless otoacoustic emission detection system as described in claim 1, characterized in that, The main control chip is configured to automatically detect the hardware and software status of the miniature otoacoustic emission detection probe before each otoacoustic emission detection to ensure the accuracy of the detection results.

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