CN112315461A - Hearing detection method, system, device and storage medium - Google Patents

Hearing detection method, system, device and storage medium Download PDF

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CN112315461A
CN112315461A CN202011114838.5A CN202011114838A CN112315461A CN 112315461 A CN112315461 A CN 112315461A CN 202011114838 A CN202011114838 A CN 202011114838A CN 112315461 A CN112315461 A CN 112315461A
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stimulation
signal
acoustic
response curve
electrical stimulation
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黄伟洛
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Guangzhou Youting Electronic Technology Co ltd
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Guangzhou Youting Electronic Technology Co ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/12Audiometering
    • A61B5/121Audiometering evaluating hearing capacity
    • A61B5/125Audiometering evaluating hearing capacity objective methods

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Abstract

The invention discloses a hearing detection method, a system, a device and a computer storage medium, wherein the method comprises the following steps: playing an acoustic stimulation signal and receiving an acoustic stimulation neural signal generated by the acoustic stimulation signal; outputting an electrical stimulation signal and receiving an electrical stimulation neural signal generated by the electrical stimulation signal; and generating an acoustic stimulation response curve according to the acoustic stimulation neural signal, and generating an electrical stimulation response curve according to the electrical stimulation neural signal. The invention can generate the acoustic stimulation response curve and the electrical stimulation response curve by combining the acoustic stimulation signal and the electrical stimulation signal, thereby facilitating a doctor to know the integrity of an auditory nervous system according to the acoustic stimulation response curve and the electrical stimulation response curve, effectively avoiding the condition that the stimulation response cannot be recorded by two stimulation modes, and having higher detection comprehensiveness.

Description

Hearing detection method, system, device and storage medium
Technical Field
The invention relates to the technical field of hearing detection, in particular to a hearing detection method, a hearing detection system, a hearing detection device and a hearing detection storage medium.
Background
At present, clinically, for a patient needing an auditory neuroma operation, the function of auditory nerve of the patient needs to be detected and evaluated after the operation, otherwise, the auditory function of the patient with auditory disability cannot be reconstructed even after the operation.
Disclosure of Invention
The present invention is directed to a hearing test method, system, device and computer storage medium, which are used to solve the above-mentioned problems.
To achieve the above object, in one aspect, the present invention provides a hearing test method, including the steps of:
playing an acoustic stimulation signal and receiving an acoustic stimulation neural signal generated by the acoustic stimulation signal;
outputting an electrical stimulation signal and receiving an electrical stimulation neural signal generated by the electrical stimulation signal;
and generating an acoustic stimulation response curve according to the acoustic stimulation neural signal, and generating an electrical stimulation response curve according to the electrical stimulation neural signal.
In an embodiment of the present invention, the hearing test method further includes:
and respectively comparing the acoustic stimulation response curve and the electrical stimulation response curve with a preset standard curve to obtain a comparison result.
In an embodiment of the present invention, the generating an acoustic stimulation response curve according to the acoustic stimulation neural signal includes:
performing analog-to-digital conversion on the acoustic stimulation neural signal to obtain an acoustic stimulation analog-to-digital conversion signal;
and carrying out waveform processing on the acoustic stimulation analog-to-digital conversion signal to generate and obtain an acoustic stimulation response curve.
In an embodiment of the present invention, the generating an electrical stimulation response curve according to the electrical stimulation neural signal includes:
performing analog-to-digital conversion on the electrical stimulation neural signal to obtain an electrical stimulation analog-to-digital conversion signal;
and carrying out waveform processing on the electric stimulation analog-to-digital conversion signal to generate and obtain an electric stimulation response curve.
In an embodiment of the present invention, the acoustic stimulation signal has a wavelength of 0.1ms to 40ms and a sampling rate of 44.1 kHz.
In an embodiment of the present invention, the method further includes a step of generating the electrical stimulation signal, where the step of generating includes the steps of:
controlling an electrical stimulator to generate the electrical stimulation signal through the setting of stimulation parameters;
wherein the stimulation parameters include at least one of stimulation intensity, maximum current, change step size, stimulation type, stimulation polarity and stimulation channel, stimulation rate, stimulation shape, pulse width.
In an embodiment of the present invention, the acoustic stimulation response curve and the electrical stimulation response curve are respectively compared with a preset standard curve to obtain a comparison result, specifically, the comparison result is obtained by
And comparing the acoustic stimulation response curve and at least one of the appearance of the waveform, the amplitude of the waveform and the time interval between the waveforms in the electrical stimulation response curve with a preset standard curve to obtain a scoring result.
On the other hand, the embodiment of the present invention further provides a hearing test system, including:
the acoustic stimulation unit is used for playing an acoustic stimulation signal and receiving an acoustic stimulation neural signal generated by the acoustic stimulation signal;
the electrical stimulation unit is used for outputting an electrical stimulation signal and receiving an electrical stimulation neural signal generated by the electrical stimulation signal;
and the curve generating unit is used for generating an acoustic stimulation response curve according to the acoustic stimulation neural signal and generating an electrical stimulation response curve according to the electrical stimulation neural signal.
In another aspect, an embodiment of the present invention provides a hearing test apparatus, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein: the computer program, when executed by the processor, implements the steps of the hearing test method.
In still another aspect, an embodiment of the present invention provides a computer storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the hearing test method.
The hearing detection method, the system, the device and the computer storage medium can generate the acoustic stimulation response curve and the electrical stimulation response curve by combining the acoustic stimulation signal and the electrical stimulation signal, so that a doctor can conveniently know the integrity of an auditory nervous system according to the acoustic stimulation response curve and the electrical stimulation response curve, the condition that the stimulation response cannot be recorded can be effectively avoided through two stimulation modes, and the detection comprehensiveness is higher.
Drawings
FIG. 1 is a flow chart illustrating the steps of a hearing test method according to the present invention;
FIG. 2 is a block diagram of a hearing test system according to the present invention;
FIG. 3 is a schematic diagram of a hearing test device according to the present invention;
FIG. 4 is a schematic diagram of reference waveforms in an embodiment of the present invention;
FIG. 5 is a diagram illustrating a first waveform of electrical stimulation in an embodiment of the present invention;
FIG. 6 is a diagram illustrating a second waveform of electrical stimulation in accordance with an embodiment of the present invention;
FIG. 7 is a schematic diagram of a third waveform of electrical stimulation in an embodiment of the invention;
FIG. 8 is a graph illustrating a standard curve of acoustic stimulation in an embodiment of the present invention;
FIG. 9 is a schematic diagram of an abnormal waveform of acoustic stimulation in an embodiment of the present invention;
fig. 10 is a schematic waveform diagram of acoustic stimulation and electrical stimulation in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that all the directional indicators (such as up, down, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.
In addition, the descriptions related to "first", "second", etc. in the present invention are only for descriptive purposes and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "connected," "secured," and the like are to be construed broadly, and for example, "secured" may be a fixed connection, a removable connection, or an integral part; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In addition, the technical solutions in the embodiments of the present invention may be combined with each other, but it must be based on the realization of those skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination of technical solutions should not be considered to exist, and is not within the protection scope of the present invention. It should be noted that the strong current hook and the weak current hook mentioned in the following embodiments are not provided for the type of the wire to which the hooks can be mounted, and are only for convenience of description.
Referring to fig. 1, the present invention provides a hearing test method comprising the steps of:
playing an acoustic stimulation signal and receiving an acoustic stimulation neural signal generated by the acoustic stimulation signal;
outputting an electrical stimulation signal and receiving an electrical stimulation neural signal generated by the electrical stimulation signal;
and generating an acoustic stimulation response curve according to the acoustic stimulation neural signal, and generating an electrical stimulation response curve according to the electrical stimulation neural signal.
In this embodiment, the processing manners of the acoustic stimulation neural signal and the electrical stimulation neural signal include, but are not limited to:
1) amplifying the acoustic stimulation neural signals and the electrical stimulation neural signals, and performing analog-to-digital conversion on the amplified acoustic stimulation neural signals and electrical stimulation neural signals to generate waveforms;
optionally, amplifying the acoustic stimulation neural signal and the electrical stimulation neural signal may be performed by an amplifier, and an amplification parameter of the amplifier may be adjusted by the processing unit to control a result of the amplification process. Optionally, the amplification parameter includes at least one of a signal input range, a frequency, a trap, a harmonic filter, a sampling rate, and an impedance measurement, and this embodiment includes all the amplification parameters described above, and in other embodiments, one or more amplification parameters may be included, and the others may be fixed to default values. Wherein in this embodiment the signal input range comprises 500 μ V, the frequency comprises a high frequency comprising 100Hz and a low frequency comprising 2000Hz, the trap comprises a switch for a trap, a type of trap, a switch for (higher) harmonic filtering, the sampling rate comprises 160000Hz, and the impedance measurement comprises 5k Ω.
In this embodiment, the digital signal is converted into a curve by a fourier technique after analog-to-digital conversion is completed to obtain a waveform.
2) Processing the waveform to generate a result curve;
alternatively, the processing of the waveform may include waveform averaging, waveform (filtering) superposition, and the like, wherein the number of waveform superpositions may be adjusted by the processing unit.
As shown in fig. 10, in this embodiment, curves 05 and 06 are waveform diagrams of electrical stimulation, and curves 08 and 09 are waveform diagrams of acoustic stimulation, and as can be seen from fig. 10, when the acoustic-induced cochlear nerve response disappears after the tumor is removed in the acoustic neuroma patient, but the electrical-induced cochlear nerve response is normal, it can be seen that the cochlear nerve function of the patient still exists and has nerve function integrity, so that the condition that the stimulation response cannot be recorded can be effectively avoided, and the detected overall performance is higher.
In an embodiment of the present invention, the hearing test method further includes:
and respectively comparing the acoustic stimulation response curve and the electrical stimulation response curve with a preset standard curve to obtain a comparison result.
In this embodiment, the acoustic stimulation response curve and the electrical stimulation response curve are compared with a preset standard curve, so as to obtain a comparison result;
the preset standard curve may be a curve graph obtained by a previous test when the auditory nerve is normal, or a curve graph in a certain pathological state.
In this example, the standard curve is shown in fig. 8, and when the acoustic stimulation response curve is abnormal when the acoustic stimulation response curve is compared with the standard curve, the waveform diagram is shown in fig. 9.
In an embodiment of the present invention, the generating an acoustic stimulation response curve according to the acoustic stimulation neural signal includes:
performing analog-to-digital conversion on the acoustic stimulation neural signal to obtain an acoustic stimulation analog-to-digital conversion signal;
and carrying out waveform processing on the acoustic stimulation analog-to-digital conversion signal to generate and obtain an acoustic stimulation response curve.
In an embodiment of the present invention, the generating an electrical stimulation response curve according to the electrical stimulation neural signal includes:
performing analog-to-digital conversion on the electrical stimulation neural signal to obtain an electrical stimulation analog-to-digital conversion signal;
and carrying out waveform processing on the electric stimulation analog-to-digital conversion signal to generate and obtain an electric stimulation response curve.
In an embodiment of the present invention, the acoustic stimulation signal has a wavelength of 0.1ms to 40ms and a sampling rate of 44.1 kHz.
In an embodiment of the present invention, the method further includes a step of generating the electrical stimulation signal, where the step of generating includes the steps of:
controlling an electrical stimulator to generate the electrical stimulation signal through the setting of stimulation parameters;
wherein the stimulation parameters include at least one of stimulation intensity, maximum current, change step size, stimulation type, stimulation polarity and stimulation channel, stimulation rate, stimulation shape, pulse width.
In this embodiment, in actual use, the stimulation may be started by 2mA until the reference waveform of fig. 4 is obtained, and then the intensity may be reduced by performing filtering and superimposing (for example, 300 times), and the intensity may be reduced by 0.5mA or (0.1mA step by step) until no response is detected. In fig. 4, there are multiple reference curves, each having multiple reference waveforms, and 02, 03, and 05 represent the 2 nd, 3 rd, and 5 th reference curves in the detection process.
Further, the stimulation shape comprises a click, square wave or biphasic square wave, the stimulation intensity comprises 1mA, the maximum current comprises 5mA, the varying step size comprises 0.1mA, the stimulation polarity comprises positive and negative, the stimulation type comprises single or double, the stimulation type comprises continuous or alternating, the pulse width comprises 100 μ S, and the stimulation rate comprises 5-48 Hz.
In an embodiment of the present invention, the acoustic stimulation response curve and the electrical stimulation response curve are respectively compared with a preset standard curve to obtain a comparison result, specifically, the comparison result is obtained by
And comparing the acoustic stimulation response curve and at least one of the appearance of the waveform, the amplitude of the waveform and the time interval between the waveforms in the electrical stimulation response curve with a preset standard curve to obtain a scoring result.
It will be appreciated that the result curves are one or more, for example there may be multiple result curves at different stimulation currents or frequencies, optionally automatically selecting the curve that exhibits the most waveform among the several result curves when the result curves are analysed.
Specifically, the result curve is analyzed, 1), the analysis comprises detecting the occurrence of the waveform (such as I wave, II wave, III wave, IV wave, V wave) in the curve, and calculating and displaying corresponding parameters according to the result curve, such as the amplitude (amplitude) of the I wave, II wave, III wave, IV wave, V wave; and then comparing the signal with a preset curve (for example, a curve chart obtained by testing in advance when the auditory nerve is normal) to judge whether the signal is a real reaction signal, thereby obtaining a scoring result to judge whether the result curve is normal or abnormal. For example, different scores may be set, for example, different scores are given for the occurrence of I-wave and the non-occurrence of I-wave, and the same applies to II-wave, III-wave, IV-wave, and V-wave. Optionally, the amplitude of the waveform in the result curve may be compared with a first preset amplitude in a preset curve, and different thresholds may be set, for example, when an I wave occurs and an absolute value of a difference between the amplitude of the I wave and the first preset amplitude of the I wave in the preset curve is smaller than the first threshold to give a score, and when the absolute value is larger than the first threshold to give another score, the same principle is applied to the II wave, the III wave, the IV wave, and the V wave, and finally a first scoring result is obtained, so as to accurately and effectively evaluate the acoustic nerve functional integrity of the test object.
Specifically, the result curve is analyzed, and 2) the analysis includes detecting the occurrence of the waveform (e.g., I wave, II wave, III wave, IV wave, V wave) in the curve, and calculating and displaying the corresponding parameters, e.g., the amplitudes (amplitudes) of the I wave, II wave, III wave, IV wave, V wave, according to the result curve; then comparing with a preset curve (for example, a curve in a certain pathological state) to judge whether the curve is a real response signal, thereby obtaining a scoring result to judge whether the result curve is normal or abnormal. For example, different scores may be set, for example, different scores are given for the occurrence of I-wave and the non-occurrence of I-wave, and the same applies to II-wave, III-wave, IV-wave, and V-wave. Optionally, a comparison may be further performed between the amplitude of the waveform in the result curve and a second preset amplitude in a preset curve (e.g., a curve in a certain pathological state), and different thresholds may be set, for example, when an I wave appears and an absolute value of a difference between the amplitude of the I wave and the second preset amplitude of the I wave in the preset curve is smaller than the second threshold and a score is given to the I wave, and another score is given to the I wave, the III wave, the IV wave, and the V wave that are larger than the second threshold, a second scoring result is finally obtained, so as to accurately and effectively evaluate the functional integrity of the auditory nerve of the test subject.
Optionally, the scoring result may be further obtained by detecting a time interval between the waveforms and comparing the time interval with a preset time interval in a preset result curve. For example, a corresponding threshold is set, when the absolute value of the difference between the time interval and the preset time interval is smaller than a third threshold, a score is obtained, another score is obtained when the absolute value is larger than the third threshold, and then all scores are added to obtain a third scoring result. It will be appreciated that if the time interval is different from the predetermined time interval, for example, the extension means that the intermediate pathway may be diseased or abnormal.
Optionally, when obtaining the scoring result, the first scoring result, the second scoring result, or the third scoring result may be obtained through the above manner, and it may be understood that corresponding weights may be set for different scoring results, and at least two of the first scoring result, the second scoring result, and the third scoring result are used for performing weighting calculation to obtain a final scoring result. The evaluation result can be used as a reference for a tester to refer to, so that the judgment efficiency of the tester is improved.
As shown in fig. 5, a first result curve of sensorineural hearing loss (SNHL, typical) measured by the method of the present invention is a schematic diagram in the interface of software in the working system, and there are several result curves, where N is the number, and 0, 02, 03, 04, 05 represents the 1 st, 2 nd, 3 rd, 4 th and 5 th result curves in the test; the latency refers to the time required for the stimulation signal to transmit to a specific sensing organ on a corresponding auditory conduction channel to induce a response signal after the stimulation signal is emitted, and the unit is ms, namely the numerical value in the table of the schematic diagram in the interface of the software, which shows that the time used for measurement by the device is short and the efficiency is high, for example, the latency of the II wave in the 02 curve is 2.09ms, which represents that the conduction time of the signal transmitted to the II wave from the auditory nerve nucleus after the stimulation signal is emitted is 2.09ms, the II-III refers to the time required between the II wave and the III wave, and other similar reasons. Wherein optionally in this embodiment the I wave is auditory nerve action potential, the II wave originates from auditory nerve nucleus, the III wave originates from suprapontine nucleus olivopontosa and trapezium, the IV wave and V wave represent lateral thalamic and hypothalamic nuclei, respectively, while in other embodiments it may also include the VI wave and VII wave, which are the action potential waveforms of the gonad and acoustic radiation, respectively, in the thalamus; thus, the I and II waves actually represent the peripheral wave group of the auditory afferent pathway, with each wave thereafter representing the hub action potential. The first 5 waveforms, I-V, are most stable, while the amplitude (amplitude) refers to the level of excitatory potential produced by the nerves after the corresponding auditory organ has experienced a stimulus. The right hand content represents stimulation intensity, pulse width, and stimulation rate, respectively.
As shown in FIG. 6, in a second result curve of Auditory Neuropathy (AN) measured by the method of the present invention, the same reference numerals 02, 05, 07, 08 represent the results of the 2 nd, 5 th, 7 th and 8 th tests.
As shown in FIG. 7, 0, 03, 010, 011, 014 represents the 1 st, 3 rd, 10 th and 11 th result curves in this test, which is the third result curve of the stenosis of the internal auditory canal measured by the method of the present invention.
It is understood that the reason why the types of the waveforms in each example are different is that the waveforms recorded by different physiological structures in each example are different, so that different responses can be recorded due to the structural differences of different auditory conduction paths, and the physiological states and characteristics (high sensitivity) of different auditory organs can be accurately evaluated.
According to the detection device and the detection method, the detection device and the detection applicability of the detection device are wide, the detection device can be applied to different detection objects, the detection efficiency is high, the stimulation parameters and the data processing can be adjusted according to different requirements, and the detection device is more humanized.
With reference to fig. 2, embodiments of the present invention further provide a hearing test system, comprising:
the acoustic stimulation unit is used for playing an acoustic stimulation signal and receiving an acoustic stimulation neural signal generated by the acoustic stimulation signal;
the electrical stimulation unit is used for outputting an electrical stimulation signal and receiving an electrical stimulation neural signal generated by the electrical stimulation signal;
and the curve generating unit is used for generating an acoustic stimulation response curve according to the acoustic stimulation neural signal and generating an electrical stimulation response curve according to the electrical stimulation neural signal.
The steps implemented by each functional module of the system may refer to each embodiment of the hearing test method of the present invention, and are not described herein again.
Referring to fig. 3, an embodiment of the present invention provides a hearing test device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein: the computer program, when executed by the processor, implements the steps of the hearing test method.
Furthermore, an embodiment of the present invention provides a computer storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the hearing test method.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity/action/object from another entity/action/object without necessarily requiring or implying any actual such relationship or order between such entities/actions/objects; the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. The term "comprising", without further limitation, means that the element so defined is not excluded from the group of processes, methods, articles, or systems that include the element.
For the apparatus embodiment, since it is substantially similar to the method embodiment, it is described relatively simply, and reference may be made to some descriptions of the method embodiment for relevant points. The above-described apparatus embodiments are merely illustrative, in that elements described as separate components may or may not be physically separate. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the invention. One of ordinary skill in the art can understand and implement it without inventive effort.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A hearing test method, comprising the steps of:
playing an acoustic stimulation signal and receiving an acoustic stimulation neural signal generated by the acoustic stimulation signal;
outputting an electrical stimulation signal and receiving an electrical stimulation neural signal generated by the electrical stimulation signal;
and generating an acoustic stimulation response curve according to the acoustic stimulation neural signal, and generating an electrical stimulation response curve according to the electrical stimulation neural signal.
2. The hearing test method of claim 1, further comprising:
and respectively comparing the acoustic stimulation response curve and the electrical stimulation response curve with a preset standard curve to obtain a comparison result.
3. The hearing test method of claim 1, wherein generating an acoustic stimulation response curve from the acoustic stimulation neural signal comprises:
performing analog-to-digital conversion on the acoustic stimulation neural signal to obtain an acoustic stimulation analog-to-digital conversion signal;
and carrying out waveform processing on the acoustic stimulation analog-to-digital conversion signal to generate and obtain an acoustic stimulation response curve.
4. The hearing test method of claim 1, wherein the generating an electrical stimulation response curve based on the electrically stimulated neural signal comprises:
performing analog-to-digital conversion on the electrical stimulation neural signal to obtain an electrical stimulation analog-to-digital conversion signal;
and carrying out waveform processing on the electric stimulation analog-to-digital conversion signal to generate and obtain an electric stimulation response curve.
5. The hearing test method according to claim 1, wherein the acoustic stimulation signal is an acoustic stimulation signal having a wavelength of 0.1ms to 40ms and a sampling rate of 44.1 kHz.
6. The hearing test method according to claim 1, further comprising the step of generating the electrical stimulation signal, the generating step comprising the steps of:
controlling an electrical stimulator to generate the electrical stimulation signal through the setting of stimulation parameters;
wherein the stimulation parameters include at least one of stimulation intensity, maximum current, change step size, stimulation type, stimulation polarity and stimulation channel, stimulation rate, stimulation shape, pulse width.
7. The hearing test method according to claim 2, wherein the acoustic stimulation response curve and the electrical stimulation response curve are compared with a preset standard curve respectively to obtain comparison results, specifically, the comparison results are obtained
And comparing the acoustic stimulation response curve and at least one of the appearance of the waveform, the amplitude of the waveform and the time interval between the waveforms in the electrical stimulation response curve with a preset standard curve to obtain a scoring result.
8. A hearing test system, comprising:
the acoustic stimulation unit is used for playing an acoustic stimulation signal and receiving an acoustic stimulation neural signal generated by the acoustic stimulation signal;
the electrical stimulation unit is used for outputting an electrical stimulation signal and receiving an electrical stimulation neural signal generated by the electrical stimulation signal;
and the curve generating unit is used for generating an acoustic stimulation response curve according to the acoustic stimulation neural signal and generating an electrical stimulation response curve according to the electrical stimulation neural signal.
9. A hearing test device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein: the computer program, when executed by the processor, implements the steps of the hearing test method of any one of claims 1 to 7.
10. A computer storage medium, characterized in that the computer storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the hearing test method according to any one of claims 1 to 7.
CN202011114838.5A 2020-10-16 2020-10-16 Hearing detection method, system, device and storage medium Pending CN112315461A (en)

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CN101983043A (en) * 2008-04-03 2011-03-02 Med-El电气医疗器械有限公司 Synchronized diagnostic measurement for cochlear implants
CN102245092A (en) * 2008-12-11 2011-11-16 Med-El电气医疗器械有限公司 Artifact cancellation in hybrid audio prostheses
CN105992607A (en) * 2014-02-11 2016-10-05 Med-El电气医疗器械有限公司 Determination of neuronal action potential amplitude based on multidimensional differential geometry
CN108883274A (en) * 2016-02-29 2018-11-23 领先仿生公司 The system and method for determining behavioral audiogram value for using the response of induction
CN110520188A (en) * 2017-03-20 2019-11-29 领先仿生公司 Double mode auditory stimulation system
CN109620251A (en) * 2018-12-29 2019-04-16 天津工业大学 A kind of sense of hearing non-invasive detection methods based on complex nerve action potential
CN110226929A (en) * 2019-06-13 2019-09-13 上海交通大学医学院附属第九人民医院 A kind of electro physiology test method automating auditory brainstem implant

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