CN116504214A

CN116504214A - Craniomagnetic stimulus masking noise generating device, electronic apparatus, and storage medium

Info

Publication number: CN116504214A
Application number: CN202310775444.1A
Authority: CN
Inventors: 白洋; 冯珍
Original assignee: First Affiliated Hospital of Nanchang University
Current assignee: First Affiliated Hospital of Nanchang University
Priority date: 2023-06-28
Filing date: 2023-06-28
Publication date: 2023-07-28
Anticipated expiration: 2043-06-28
Also published as: CN116504214B

Abstract

The application discloses a craniomagnetic stimulus masking noise generating device, electronic equipment and a storage medium. Comprising the following steps: playing masking noise A _i‑1 Collecting a plurality of first sound signals corresponding to a plurality of coil channels; processing the plurality of first sound signals to obtain a second sound signal B _i The method comprises the steps of carrying out a first treatment on the surface of the Acquisition on multiple coil channels and multipleA plurality of first electroencephalogram signals corresponding to each of the first pulses; performing auditory evoked potential analysis on a plurality of first brain electrical signals corresponding to each first pulse to obtain an auditory evoked potential judgment result C _i Auditory evoked potential judgment result C _i When the preset condition is not satisfied, determining a result C according to the auditory evoked potential _i Determining a sound modulation parameter D _i To the second sound signal B _i Modulating to obtain masking noise A of ith+1st transcranial magnetic test _i Performing the (i+1) th transcranial magnetic test until a preset condition is met; otherwise, the noise A will be masked _i‑1 The noise is masked as a target.

Description

Craniomagnetic stimulus masking noise generating device, electronic apparatus, and storage medium

Technical Field

The invention relates to the technical field of medical treatment, in particular to a craniomagnetic stimulation masking noise generating device, electronic equipment and a storage medium.

Background

Transcranial magnetic stimulation techniques produce magnetic fields of equal strength by nuclear magnetic resonance through coils placed on the scalp and act on brain tissue unattenuated penetrating the skull, thereby depolarizing neurons, inducing the conduction of nerve impulses. Functional reorganization of the cerebral cortex is achieved by effects on neuronal excitability, networking and plasticity. The transcranial magnetic stimulation technology has the advantages of painless, safety, low cost, strong adaptability, high plasticity and the like, and has an important application value in the nerve function rehabilitation treatment of mental and neurological diseases.

However, due to sensitivity of electroencephalogram to electromagnetic environment, the combination of the two technologies puts extremely high demands on electroencephalogram noise processing. In transcranial magnetic stimulation evoked electroencephalogram technology, the 'beep' noise generated in a coil by transcranial magnetic stimulation pulses is conducted to a human brain auditory induction area through air and bones, so that a noise-related auditory induction signal is induced. Such auditory evoked signals greatly interfere with the discrimination and interpretation of transcranial magnetically evoked neural response signals. Thus, shielding of coil noise is a difficulty in transcranial magnetic stimulation induced electroencephalography.

Currently, in transcranial magnetic stimulation induced electroencephalogram assessment, a test or patient is often fitted with earplugs to reduce the effects of noise. However, this approach only reduces the noise interference, and still retains a clear auditory evoked potential in the evoked neural response signal, thereby failing to mask the noise interference. In addition, experimental studies have also employed a means of noise placement to attenuate the effects of audible noise. For example, white noise is played in the ears of a tested or patient through an in-ear earphone, or 'beep' noise generated in a collecting coil is played back to the tested through the earphone after being processed. This approach can effectively mask auditory evoked potentials. However, current techniques typically allow the subject or patient to adjust the volume to the level that masks the coil noise. In this way, there are many drawbacks, and first, because there is no clear one-to-one correspondence between the auditory noise volume and the actual auditory evoked potential of the cerebral cortex, the volume of the tested person may be too large or too small through subjective feeling adjustment, resulting in uncomfortable feeling or failure of noise shielding. Second, this approach requires the subject or patient to actively adjust the volume, which determines that this approach fails in clinical patients with brain disease. Because many brain trauma patients cannot actively fit to adjust the sound size.

Disclosure of Invention

In order to solve the above-mentioned problems in the prior art, embodiments of the present application provide a cranial magnetic stimulation masking noise generating device, an electronic apparatus, and a storage medium, which can automatically generate masking noise with high accuracy to reduce auditory noise induced by coil noise.

In a first aspect, embodiments of the present application provide a cranial magnetic stimulation masking noise generating device, the device comprising: the device comprises an electroencephalogram acquisition module, a noise acquisition module, an auditory evoked potential analysis module, a noise processing module and a sound modulation module;

a noise acquisition module for playing the masking noise A in the ith transcranial magnetic test _i-1 Under the condition of (1), a plurality of first sound signals corresponding to a plurality of coil channels are acquired, wherein i is an integer greater than or equal to 1, and noise A is masked _i-1 From the i-1 th transcranial magnetic test;

the noise processing module is used for processing the plurality of first sound signals to obtain a second sound signal B _i ；

The electroencephalogram acquisition module is used for acquiring a plurality of first electroencephalograms corresponding to each first pulse in the plurality of first pulses on the plurality of coil channels, wherein the plurality of first electroencephalograms correspond to the plurality of coil channels one by one, and the acquisition time period of the plurality of first electroencephalograms is the same as the acquisition time period of the plurality of first sound signals;

An auditory evoked potential analysis module for listening to a plurality of first brain electrical signals corresponding to each first pulseAnalysis of auditory evoked potential to obtain auditory evoked potential determination result C _i ；

A sound modulation module for determining the result C of the auditory evoked potential _i When the preset condition is not satisfied, determining a result C according to the auditory evoked potential _i Sound modulation parameter D for the i-1 th transcranial magnetic test _i-1 Adjusting to obtain sound modulation parameter D _i And based on the sound modulation parameter D _i For the second sound signal B _i Modulating to obtain masking noise A of ith+1st transcranial magnetic test _i Performing the (i+1) -th transcranial magnetic test until a preset condition is satisfied, wherein when i=1, the sound modulation parameter D ₁ Is a preset parameter;

the sound modulation module is also used for judging the result C of the auditory evoked potential _i When the preset condition is met, the noise A is masked _i-1 The noise is masked as a target.

In one possible embodiment, the second sound signal B is obtained by processing the plurality of first sound signals _i In aspect, the noise processing module is specifically configured to:

based on the amplitude of each first sound signal in the plurality of first sound signals, carrying out normalization processing on each first sound signal to obtain a plurality of third sound signals;

Randomly connecting a plurality of third sound signals in series to obtain a fourth sound signal;

randomly scrambling the phase of the noise spectrum of the fourth sound signal, and reconstructing a fifth sound signal according to the scrambled noise spectrum;

resampling the fifth sound signal for a plurality of times to obtain a plurality of sixth sound signals;

the plurality of sixth sound signals are superimposed and averaged to obtain a second sound signal B _i 。

In one possible implementation manner, the noise processing module is specifically configured to:

performing Fourier spectrum analysis on the fourth sound signal to obtain a first time sequence phase of the fourth sound signal;

randomly disturbing and reorganizing the first time sequence phase to obtain a second time sequence phase;

and reconstructing a fifth sound signal according to the second time sequence phase.

In one possible embodiment, the hearing evoked potential analysis is performed on a plurality of first brain electrical signals corresponding to each first pulse to obtain a hearing evoked potential determination result C _i In aspects, the auditory evoked potential analysis module is specifically configured to:

Noise removing processing is carried out on each first electroencephalogram signal in the plurality of first electroencephalogram signals to obtain a plurality of second electroencephalogram signals, wherein the plurality of second electroencephalogram signals are in one-to-one correspondence with the plurality of first electroencephalogram signals;

based on the moment of issuing each first pulse, intercepting each second electroencephalogram signal in a plurality of second electroencephalogram signals to obtain a plurality of first signal fragments and a plurality of second signal fragments, wherein the plurality of first signal fragments are in one-to-one correspondence with the plurality of second electroencephalogram signals, and the plurality of second signal fragments are in one-to-one correspondence with the plurality of second electroencephalogram signals;

determining an auditory evoked component in an ith transcranial magnetic test based on the plurality of first signal segments;

determining an evoked component in an ith transcranial magnetic test based on the plurality of second signal segments;

determining the hearing evoked potential determination result C based on the amplitude of the hearing evoked component and the amplitude of the evoked component _i 。

In one possible implementation manner, the hearing evoked potential analysis module is specifically configured to, in performing noise removal processing on each of the plurality of first electroencephalograms to obtain a plurality of second electroencephalograms:

interpolation is carried out on each first electroencephalogram signal of each first pulse based on the moment of issuing each first pulse, so that a plurality of third electroencephalogram signals are obtained, wherein the plurality of third electroencephalograms signals are in one-to-one correspondence with the plurality of first electroencephalograms signals;

For each of the plurality of third electroencephalograms, acquiring a mean value of the amplitude of each third electroencephalogram in a preset time period;

subtracting the average value from the amplitude of each third electroencephalogram signal at each time to obtain a plurality of fourth electroencephalogram signals, wherein the fourth electroencephalogram signals are in one-to-one correspondence with the third electroencephalogram signals;

band-pass filtering the fourth electroencephalogram signals to obtain fifth electroencephalogram signals;

performing bad channel replacement and bad data segment rejection on the plurality of fifth electroencephalogram signals to obtain a plurality of sixth electroencephalogram signals;

and performing independent component analysis on the plurality of sixth electroencephalogram signals to obtain a plurality of second electroencephalogram signals.

In one possible embodiment, the hearing evoked potential determination result C is determined based on the magnitude of the hearing evoked potential components and the magnitude of the evoked components _i In aspects, the auditory evoked potential analysis module is specifically configured to:

taking the moment of issuing each first pulse as a dividing line, and carrying out signal division on the second electroencephalogram signal of each first pulse on each channel to obtain a base line signal of each first pulse on each channel;

performing Gaussian fitting on the basis of the amplitude of the baseline signal of each first pulse on each channel to obtain an amplitude threshold;

If the amplitude of the hearing-induced component is greater than or equal to the amplitude threshold, or the amplitude of the induced component is greater than or equal to the amplitude threshold, the hearing-induced potential determination result C is determined _i For the presence of auditory evoked potential, otherwise, determining auditory evoked potential determination result C _i Is without auditory evoked potentials.

In one possible embodiment, the result C is determined based on auditory evoked potential _i Sound modulation parameter D for the i-1 th transcranial magnetic test _i-1 Adjusting to obtain sound modulation parameter D _i In aspects, the sound modulation module is specifically configured to:

sound modulation parameter D based on preset stepping unit _i-1 Each parameter or part of the parameters are adjusted step by step to obtain the sound modulationParameter D _i 。

In a second aspect, embodiments of the present application provide a method for generating cranial magnetic stimulation masking noise, where the method is applied to a cranial magnetic stimulation masking noise generating device, the device includes an electroencephalogram acquisition module, a noise acquisition module, an auditory evoked potential analysis module, a noise processing module, and a sound modulation module, and the method includes:

in the ith transcranial magnetic test, the masking noise A is played _i-1 Under the condition of (1), the noise acquisition module acquires a plurality of first sound signals corresponding to a plurality of coil channels, wherein i is an integer greater than or equal to 1, and the noise A is masked _i-1 From the i-1 th transcranial magnetic test;

the noise processing module processes the plurality of first sound signals to obtain a second sound signal B _i ；

The electroencephalogram acquisition module acquires a plurality of first electroencephalograms corresponding to each first pulse in a plurality of first pulses on a plurality of coil channels, wherein the plurality of first electroencephalograms correspond to the plurality of coil channels one by one, and the acquisition period of the plurality of first electroencephalograms is the same as the acquisition period of the plurality of first sound signals;

the hearing-induced potential analysis module analyzes the hearing-induced potentials of the plurality of first brain electrical signals corresponding to each first pulse to obtain a hearing-induced potential judgment result C _i ；

The sound modulation module judges the result C at the auditory evoked potential _i When the preset condition is not satisfied, determining a result C according to the auditory evoked potential _i Sound modulation parameter D for the i-1 th transcranial magnetic test _i-1 Adjusting to obtain sound modulation parameter D _i And based on the sound modulation parameter D _i For the second sound signal B _i Modulating to obtain masking noise A of ith+1st transcranial magnetic test _i Performing the (i+1) -th transcranial magnetic test until a preset condition is satisfied, wherein when i=1, the sound modulation parameter D ₁ Is a preset parameter;

the sound modulation module judges the result C at the auditory evoked potential _i When the preset condition is met, the noise A is masked _i-1 The noise is masked as a target.

In a third aspect, embodiments of the present application provide an electronic device, including: and a processor coupled to the memory, the memory for storing a computer program, the processor for executing the computer program stored in the memory to cause the electronic device to perform the method as in the second aspect.

In a fourth aspect, embodiments of the present application provide a computer-readable storage medium storing a computer program that causes a computer to perform the method as in the second aspect.

In a fifth aspect, embodiments of the present application provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program, the computer being operable to cause a computer to perform a method as in the second aspect.

The implementation of the embodiment of the application has the following beneficial effects:

it can be seen that in the present embodiment, the auditory evoked potential judgment result C is determined by detecting the transcranial magnetic evoked auditory potential _i Then, based on the determination result, a second sound signal B is processed from a plurality of first sound signals corresponding to a plurality of coil channels _i Modulating to obtain target masking noise so as to eliminate the influence of transcranial magnetic stimulation coil noise on evoked nerve response. Therefore, the method adapts to individuation adaptation in an automatic closed-loop feedback type adjustment mode, and then the automatic generation of individuation accurate masking noise can be realized without the active adjustment of a tested person or a patient. Therefore, the defects that the tested or the patient needs to actively adjust the noise volume or the noise masking effect is poor in the current scheme are overcome, and the artificial subjective influence of transcranial magnetic stimulation induced electroencephalogram in brain evaluation is eliminated. In addition, the embodiment of the application does not depend on the operation of a tested person or a patient, so that the masking of the transcranial magnetic stimulation coil noise can be suitable for some patients with incapacitation of active behavior, and the transcranial magnetic stimulation evoked neural response assessment can be applied to clinical severe patients.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic hardware structure of a cranial magnetic stimulation masking noise generating device according to an embodiment of the present application;

FIG. 2 is a schematic diagram of a scenario for masking noise generation by cranial magnetic stimulation according to an embodiment of the present application;

FIG. 3 is a schematic diagram of a cranial magnetic stimulation masking noise generating device according to an embodiment of the present application;

fig. 4 is a schematic diagram of performing a plurality of first sound signal acquisitions according to an embodiment of the present application;

FIG. 5 is a schematic diagram of an auditory evoked composition N100 and an evoked composition P200 according to an embodiment of the present disclosure;

FIG. 6 is a schematic diagram of noise modulation according to an embodiment of the present application;

fig. 7 is a schematic diagram of N100 and P200 in an electroencephalogram signal of a subject after target masking noise according to an embodiment of the present application;

FIG. 8 is a functional block diagram of a cranial magnetic stimulation masking noise generating device according to an embodiment of the present application;

fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, based on the embodiments herein, which would be apparent to one of ordinary skill in the art without undue burden are within the scope of the present application.

The terms "first," "second," "third," and "fourth" and the like in the description and in the claims of this application and in the drawings, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein may be combined with other embodiments.

First, in order to facilitate understanding of the technical solutions of the present application, explanation and explanation of the related art related to the present application are first made.

Transcranial magnetic stimulation induced electroencephalogram technology has very strong application value in the aspects of evaluation, diagnosis and prognosis of brain diseases. However, due to sensitivity of electroencephalogram to electromagnetic environment, the combination of the two technologies puts extremely high demands on electroencephalogram noise processing. In transcranial magnetic stimulation evoked electroencephalogram techniques, "drip" noise generated in the coil by transcranial magnetic stimulation pulses is conducted through air and bone to the human brain auditory induction area, thereby evoked noise-related auditory induction signals. Such auditory evoked signals greatly interfere with the discrimination and interpretation of transcranial magnetically evoked neural response signals.

Currently, in order to suppress the above-mentioned effects, in the transcranial magnetic stimulation induced electroencephalogram evaluation, a test or a patient is often provided with earplugs to reduce the effects of noise. However, this approach only reduces the noise interference, and still retains a clear auditory evoked potential in the evoked neural response signal, thereby failing to mask the noise interference. In addition, experimental studies have also employed a means of noise placement to attenuate the effects of audible noise. For example, white noise is played in the ears of a tested or patient through an in-ear earphone, or 'drip' noise generated in a collecting coil is processed by sound and then played back to the tested through the earphone, and the method can effectively shield hearing evoked potential. However, current techniques typically allow the subject or patient to adjust the volume to the level that masks the coil noise. In this way, there are many drawbacks, and first, because there is no clear one-to-one correspondence between the auditory noise volume and the actual auditory evoked potential of the cerebral cortex, the volume of the tested person may be too large or too small through subjective feeling adjustment, which causes the tested person to feel uncomfortable or the noise shielding fails. Second, this approach requires the subject or patient to actively adjust the volume, which determines that this approach fails in clinical patients with brain disease. Because many brain trauma patients cannot actively fit to adjust the sound size.

In summary, in transcranial magnetic stimulation treatment, the existing noise masking has lower precision, and depends on active adjustment of a subject or a patient, so that the transcranial magnetic stimulation treatment effect is poor.

Next, referring to fig. 1, fig. 1 is a schematic hardware structure of a cranial magnetic stimulation masking noise generating device according to an embodiment of the present application. The cranial magnetic stimulus masking noise generating device 100 includes at least one processor 101, a communication line 102, a memory 103, and at least one communication interface 104.

In this embodiment, the processor 101 may be a general purpose central processing unit (central processing unit, CPU), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of programs in the present application.

Communication line 102 may include a pathway to transfer information between the above-described components.

The communication interface 104, which may be any transceiver-like device (e.g., antenna, etc.), is used to communicate with other devices or communication networks, such as ethernet, RAN, wireless local area network (wireless local area networks, WLAN), etc.

The memory 103 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, or an electrically erasable programmable read-only memory (electrically erasable programmable read-only memory, EEPROM), a compact disc (compact disc read-only memory) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

In this embodiment, the memory 103 may be independently provided and connected to the processor 101 via the communication line 102. Memory 103 may also be integrated with processor 101. The memory 103 provided by embodiments of the present application may generally have non-volatility. The memory 103 is used for storing computer-executable instructions for executing the embodiments of the present application, and is controlled by the processor 101 to execute the instructions. The processor 101 is configured to execute computer-executable instructions stored in the memory 103, thereby implementing the methods provided in the embodiments of the present application described below.

In alternative embodiments, computer-executable instructions may also be referred to as application code, which is not specifically limited in this application.

In alternative embodiments, processor 101 may include one or more CPUs, such as CPU0 and CPU1 in fig. 1.

In alternative embodiments, the cranial magnetic stimulus masking noise generating device 100 may include multiple processors, each of which may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).

In an alternative embodiment, if the cranial magnetic stimulus masking noise generating device 100 is a server, for example, it may be a stand-alone server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery network (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platform. The cranial magnetic stimulus masking noise generating apparatus 100 may further include an output device 105 and an input device 106. The output device 105 communicates with the processor 101 and may display information in a variety of ways. For example, the output device 105 may be a liquid crystal display (liquid crystal display, LCD), a light emitting diode (light emitting diode, LED) display device, a Cathode Ray Tube (CRT) display device, or a projector (projector), or the like. The input device 106 is in communication with the processor 101 and may receive user input in a variety of ways. For example, the input device 106 may be a mouse, a keyboard, a touch screen device, a sensing device, or the like.

The cranial magnetic stimulation masking noise generating apparatus 100 described above may be a general purpose device or a special purpose device. The present embodiment is not limited to the type of cranial magnetic stimulation masking noise generation device 100.

Finally, referring to fig. 2, fig. 2 is a schematic diagram of a scenario of cranial magnetic stimulation masking noise generation according to an embodiment of the present application.

As shown in fig. 2, a coil is placed in the corresponding position of the subject's head and brain, and a sound playing module, such as an in-ear earphone, is placed in the ear, prior to transcranial magnetic stimulation treatment of the subject. Then, under the condition that the sound playing module plays the masking noise, the transcranial magnetic stimulation module conducts transcranial magnetic testing on the subject for multiple times through the coil to obtain target masking noise, and then the target masking noise is used as masking noise when the subject conducts transcranial magnetic stimulation treatment. Wherein the ith transcranial magnetic testing comprises the following steps:

playing masking noise A _i-1 Collecting a plurality of first sound signals corresponding to a plurality of coil channels, and processing the plurality of first sound signals to obtain a second sound signal B _i . Meanwhile, a plurality of first electroencephalograms corresponding to each first pulse in a plurality of first pulses are collected on a plurality of coil channels, and auditory evoked potential analysis is carried out on the plurality of first electroencephalograms corresponding to each first pulse to obtain an auditory evoked potential judgment result C _i . The plurality of first electroencephalogram signals are in one-to-one correspondence with the plurality of coil channels, and the acquisition time period of the plurality of first electroencephalogram signals is the same as the acquisition time period of the plurality of first sound signals. Then, at the auditory evoked potential judgment result C _i When the preset condition is not satisfied, determining a result C according to the auditory evoked potential _i Sound modulation parameter D for the i-1 th transcranial magnetic test _i-1 Adjusting to obtain sound modulation parameter D _i And based on the sound modulation parameter D _i For the second sound signal B _i Modulating to obtain masking noise A of ith+1st transcranial magnetic test _i Performing the (i+1) -th transcranial magnetic test until a preset condition is satisfied, wherein when i=1, the sound modulation parameter D ₁ Is a preset parameter; auditory evoked potential judgment result C _i When the preset condition is met, the noise A is masked _i-1 The noise is masked as a target.

Hereinafter, a craniomagnetic stimulus masking noise generating apparatus disclosed in the present application will be described in detail.

Referring to fig. 3, fig. 3 is a schematic diagram of a cranial magnetic stimulation masking noise generating device according to an embodiment of the present application. The cranial magnetic stimulation masking noise generating apparatus may include: the device comprises an electroencephalogram acquisition module, a noise acquisition module, an auditory evoked potential analysis module, a noise processing module and a sound modulation module.

In the present embodiment, in performing the ith transcranial magnetic test, the masking noise A generated by the ith-1 th transcranial magnetic test is played _i-1 . Illustratively, in the 2 nd transcranial magnetic test, the masking noise A generated when the 1 st transcranial magnetic test is to be played to the subject ₁ And at the 1 st passIn the craniomagnetic test, since there is no previous test, white noise can be played as masking noise A ₀ Or no noise is played.

In this case, the noise acquisition module acquires a plurality of first sound signals corresponding to the plurality of coil channels, and at the same time, the electroencephalogram acquisition module acquires a plurality of first electroencephalograms corresponding to each of the plurality of first pulses on the plurality of coil channels. Specifically, the acquisition time periods of the plurality of first brain electrical signals are the same as the acquisition time periods of the plurality of first sound signals, and are all time periods of the ith transcranial magnetic testing.

After a plurality of first sound signals are collected, the noise processing module processes the plurality of first sound signals to obtain a second sound signal B _i . For example, first, each of the plurality of first sound signals may be normalized based on an amplitude of each of the plurality of first sound signals, to obtain a plurality of third sound signals. Then, a plurality of third sound signals can be randomly connected in series to obtain a fourth sound signal, the phase of the noise spectrum of the fourth sound signal is randomly disturbed, and a fifth sound signal is reconstructed according to the disturbed noise spectrum. Finally, the fifth sound signal can be resampled for multiple times to obtain multiple sixth sound signals, and then the multiple sixth sound signals are stacked and averaged to obtain a second sound signal B _i 。

Specifically, as shown in fig. 4, the noise collection module collects a plurality of first sound signals corresponding to a plurality of coil channels. The transcranial magnetic stimulation module delivers a plurality of first pulses to the subject, for example: after the first pulse 1, the first pulse 2, … and the first pulse n, the noise collecting module may generate a plurality of coil channels, for example: on the channels 1 and …, a plurality of first sound signals corresponding to each first pulse are collected, wherein the coil channels are in one-to-one correspondence with the first sound signals. It should be understood that the noise acquisition module may always acquire the noise signal during the whole process of masking noise generation, however, the present application only needs to study the change situation of the noise signal of the coil before and after the pulse is issued. Therefore, the first sound signal is obtained by only taking the moment of generating the beep by the coil when each first pulse is issued as a reference and performing signal interception on the noise signal acquired by the noise acquisition module. As shown in fig. 4, taking the first pulse 1 as an example, taking the time t1 when the first pulse 1 is issued to cause the coil to generate the ticker as a boundary, the noise signals of the previous Δt1 time period and the next Δt2 time period are intercepted, and a plurality of first sound signals of each first pulse on a plurality of coil channels can be obtained. For example: Δt1 may be 10ms before the time when the coil generates the "beep", and Δt2 may be 50ms after the time when the coil generates the "beep", which is not limited in this application.

Based on this, in the present embodiment, normalization processing may be performed on each first sound signal based on the noise amplitude of each first sound signal, resulting in a plurality of third sound signals. Then, each third sound signal is randomly connected in series again according to a time pseudo-random mode, and a fourth sound signal is obtained. For example, there are 4 coils, and then there are 4 coil channels and 4 third sound signals obtained after normalization, which are respectively recorded as: sound 1, sound 2, sound 3, and sound 4. The temporal order of the 4 third sound signals is determined by means of a temporal pseudo-random approach, for example: the time sequence of sound 1 is 2, the time sequence of sound 2 is 3, the time sequence of sound 3 is 1, the time sequence of sound 4 is 4, the fourth sound signal after series connection is: sound 3-sound 1-sound 2-sound 4.

Then, fourier spectrum analysis can be performed on the time sequence signal of the fourth sound signal which is re-connected in series, the first time sequence phase is extracted, and the phase of the first time sequence phase is disturbed according to a pseudo random method, so that the second time sequence phase is obtained. And then reconstructing a fifth sound signal corresponding to the time series based on the second time series phase.

Finally, the fifth sound signal can be resampled for multiple times to obtain multiple sixth sound signals, and then the multiple sixth sound signals are superimposed and averaged to obtain a second sound signal B for eliminating the rhythm characteristics of the noise signal _i . The sampling rate of resampling may be, for example, the original sampling rate + -10, 20, 30, 40,50Hz, etc.

In the present embodiment, the hearing-induced potential analysis module performs hearing-induced potential analysis on the plurality of first electroencephalogram signals corresponding to each first pulse while processing the plurality of first sound signals, and obtains the hearing-induced potential determination result C _i 。

Specifically, similar to the first sound signal, the electroencephalogram acquisition module performs electroencephalogram acquisition on the multi-coil channel. Therefore, after the transcranial magnetic stimulation module distributes a plurality of first pulses to the subject, the electroencephalogram acquisition module acquires a plurality of first electroencephalograms corresponding to each first pulse on a plurality of coil channels, wherein the plurality of coil channels are in one-to-one correspondence with the plurality of first electroencephalograms. It should be understood that the electroencephalogram acquisition module can always acquire electroencephalogram signals in the whole process of masking noise generation, however, the electroencephalogram signal change condition of a subject only needs to be studied before and after pulse emission. Therefore, the first electroencephalogram signal is obtained by only taking the moment of issuing each first pulse as a reference and intercepting the electroencephalogram signal acquired by the electroencephalogram acquisition module. Therefore, the peak value of the electroencephalogram response signal amplitude caused by each first pulse is taken as a reference, the electroencephalogram signals in the time period delta t3 before the peak value and in the time period delta t4 after the peak value are intercepted, and a plurality of first electroencephalogram signals of each first pulse on a plurality of coil channels can be obtained. For example: Δt3 can be 300ms before the peak and Δt4 can be 500ms after the peak, which is not limited in this application.

In view of this, in the present embodiment, first, noise removal processing may be performed on each of the plurality of first electroencephalograms to obtain a plurality of second electroencephalograms corresponding to the plurality of first electroencephalograms one by one. Specifically, the hearing evoked potential analysis module respectively interpolates the plurality of first electroencephalograms based on the moment of issuing each first pulse to obtain a plurality of third electroencephalograms corresponding to the plurality of first electroencephalograms one by one. Specifically, an interpolation algorithm is utilized to interpolate the electroencephalogram signals of each first pulse in the previous Δt5 time period and interpolate the electroencephalogram signals of the later Δt6 time period of the first electroencephalogram signals on each channel respectively, so as to obtain a plurality of third electroencephalogram signals. For example: Δt5 can be 3ms before the pulse and Δt6 can be 20ms after the pulse, which is not limited in this application.

Then, for each third electroencephalogram signal, a mean value of the amplitude values of the third electroencephalogram signal in a preset time period is obtained. For example, the preset time period is a previous Δt3 time period of the time when the first pulse is issued. Then, subtracting the average value from the amplitude of the third electroencephalogram at each time to obtain a fourth electroencephalogram corresponding to the third electroencephalogram, namely, performing baseline correction on the third electroencephalogram to obtain a fourth electroencephalogram corresponding to the third electroencephalogram, and further obtaining a plurality of fourth electroencephalograms of each first pulse on a plurality of channels.

Then, the fourth electroencephalogram signals are subjected to band-pass filtering to obtain fifth electroencephalogram signals, and all data are subjected to band-pass filtering to 1-45Hz.

And then, carrying out bad channel replacement and bad data segment rejection on the plurality of fifth electroencephalogram signals to obtain a plurality of sixth electroencephalogram signals. In this embodiment, a plurality of pulses are issued to a plurality of coil channels during each transcranial magnetic testing, and then a plurality of first electroencephalograms corresponding to the plurality of pulses are generated in each coil channel, that is, a plurality of first electroencephalograms corresponding to each coil channel. Based on this, the data segment refers to the first electroencephalogram signal after the above-mentioned various processes, namely, the fifth electroencephalogram signal, and the bad channel replacement and bad data segment rejection will be described in detail below.

Specifically, the power spectrum of all data segment signals corresponding to each coil channel is calculated firstly, and then the total energy of the power spectrum in the frequency range of 1-30Hz is calculated. Taking the standard deviation of the average value of the total energy of the power spectrum of each coil channel as a reference value, marking the coil channels with the total energy of the power spectrum larger than 3.5 standard deviations or smaller than-5 standard deviations as bad channels and replacing the bad channels by the three-dimensional sphere difference data. When the cubic sphere difference value is calculated, all data segments of the coil channels which are marked as bad channels and are directly adjacent to each other on the physical position of the coil channels are used as input data, and corresponding replacement data are calculated to replace the data of the bad channels. Then, for all coil channels in each data segment, the total energy of the power spectrum of the 1-30Hz band is calculated, and for each coil channel, the total energy of the power spectrum of the coil channel in all data segments is calculated. If the total energy of the power spectrum of the current data segment is greater than the average value of the total energy of the power spectrum of all the data segments by 3.5 standard deviations or less than-5 standard deviations, judging the current data segment as bad data, and rejecting the bad data. And finally, correspondingly arranging the line of data subjected to bad channel replacement and bad data segment removal, and obtaining a plurality of sixth electroencephalogram signals.

And finally, performing independent component analysis on the plurality of sixth electroencephalogram signals to obtain a plurality of second electroencephalogram signals. Specifically, the transcranial magnetic stimulation induced brain electrical noise independent component identification method provided in the art database may be used to perform independent component analysis on the plurality of sixth brain electrical signals, and then obtain a plurality of second brain electrical signals from which noise is removed.

In this embodiment, after obtaining the plurality of second electroencephalograms, based on the time when each first pulse is issued, each of the plurality of second electroencephalograms is intercepted, and a plurality of first signal segments and a plurality of second signal segments are obtained, where the plurality of first signal segments and the plurality of second electroencephalograms are in one-to-one correspondence, and the plurality of second signal segments and the plurality of second electroencephalograms are in one-to-one correspondence. Specifically, a signal in a Δt7 period after the time when each first pulse is issued may be extracted as a first signal segment, and a signal in a Δt8 period after the time when each first pulse is issued may be extracted as a second signal segment. For example: Δt7 can be 90-110ms after the pulse, and Δt8 can be 180-220ms after the pulse, which is not limited in this application.

Then, as shown in fig. 5, the hearing induction component N100 in the ith transcranial magnetic test is determined based on the plurality of first signal segments. The evoked component P200 in the ith transcranial magnetic test is determined based on the plurality of second signal segments. And determining the hearing-induced potential determination result C based on the amplitude of the hearing-induced component N100 and the amplitude of the induced component P200 _i . Specifically, to dispenseAnd the moment of each first pulse is a dividing line, and the second electroencephalogram signal of each first pulse on each channel is subjected to signal division to obtain a baseline signal of each first pulse on each channel. Based on using boottrap analysis, a gaussian fit is made to the amplitude of the baseline signal on each channel for each first pulse, and an amplitude threshold is determined with confidence p=0.05. Then, when the amplitude of the hearing-induced component N100 is higher than or equal to the amplitude threshold, or the amplitude of the induced component P200 is higher than or equal to the amplitude threshold, the hearing-induced potential determination result C is determined _i For the presence of auditory evoked potential, otherwise, determining auditory evoked potential determination result C _i Is without auditory evoked potentials. In addition, the magnitudes of N100 and P200 can be stored and compared to historical magnitudes to evaluate the effect of current masking noise on auditory evoked potentials.

In the present embodiment, the hearing evoked potential judgment result C is determined _i The sound modulation module can then determine the result C based on the auditory evoked potential _i A target masking noise is determined. Illustratively, when the auditory evoked potential determination results C _i Does not satisfy the preset condition, the auditory evoked potential judgment result C _i In the presence of auditory evoked potential, the result C is determined based on the auditory evoked potential _i Sound modulation parameter D for the i-1 th transcranial magnetic test _i-1 Adjusting to obtain sound modulation parameter D _i And based on the sound modulation parameter D _i For the second sound signal B _i Modulating to obtain masking noise A of ith+1st transcranial magnetic test _i And (3) performing the (i+1) th transcranial magnetic test until the preset condition is met.

Specifically, in the 1 st transcranial magnetic test, i.e., i=1, the sound modulation parameter D ₀ Is empty and the sound modulation parameter D ₁ Is a preset parameter. In each subsequent transcranial magnetic test, the sound modulation parameter D may then be based on a preset step unit _i-1 Each parameter or part of the parameters in the audio signal are subjected to step adjustment to obtain an audio modulation parameter D _i . Illustratively, the sound modulation parameters may include a mixed noise ratio and a volume. Wherein the mixed noise ratio is used for adjusting the white noise and the firstTwo sound signals B _i Mixing ratio (white noise ratio second sound signal B) _i ) It may range from 0.1 to 0.5 in steps of 0.1. The volume is used to adjust the volume of the mixed masking noise, which may range from 60dB to 100dB, in steps of 10dB. Based on this, in the 1 st transcranial magnetic test, the sound modulation parameter D ₀ At this time, if the auditory evoked potential judgment result C is empty _i If the preset condition is not satisfied, setting the sound modulation parameter D ₁ The mixing noise ratio was 0.1 and the volume was 60dB. And in the subsequent transcranial magnetic testing, each time the mixed noise proportion and/or volume is adjusted to increase in step units, the adjusted sound modulation parameters are obtained. For example: in the 2 nd transcranial magnetic test, if the auditory evoked potential is judged to be result C _i If the preset condition is not satisfied, the following 3 adjustment modes can exist:

(1) The mixing noise ratio is increased by a stepping unit amount, and the volume is kept unchanged, namely, the mixing noise ratio is 0.2, and the volume is 60dB.

(2) The mixing noise ratio remains unchanged and the volume is increased by a step unit, i.e. the mixing noise ratio is 0.1 and the volume is 70dB.

(3) Both the mixed noise ratio and the volume are increased by a step unit, i.e. the mixed noise ratio is 0.2 and the volume is 70dB.

In this embodiment, the parameter adjustment may be optionally performed in one of the ways, which is not limited in this application.

In the present embodiment, the masking noise modulation process is to modulate the white noise to the second sound signal B _i And mixing and superposing according to the mixed noise proportion, and adjusting the volume of the superposed noise to be the value of the volume parameter. The white noise is noise with normalized random frequency, so as to generate a mixed noise with a frequency spectrum similar to that of the coil noise after superposition, as shown in fig. 6, and then the noise of the coil can be effectively suppressed.

In the present embodiment, when the hearing evoked potential judgment result C _i Meets the preset condition, namely, when the hearing evoked potential judgment result Ci is that no hearing evoked potential existsThen the masking noise A can be directly used _i-1 The noise is masked as a target.

In this embodiment, after determining the target masking noise, the target masking noise may be used as the masking noise used in the subsequent transcranial magnetic stimulation treatment, as shown in fig. 7, and after using the target masking noise obtained by the above method, N100 and P200 in the electroencephalogram signal of the subject are obviously suppressed, so as to eliminate the influence of transcranial magnetic stimulation coil noise on the evoked neural response.

In summary, in the method for generating the masking noise by craniomagnetic stimulation provided by the invention, the judgment result C of the auditory evoked potential is determined by detecting the transcranial magnetic evoked auditory potential _i Then, based on the determination result, a second sound signal B is processed from a plurality of first sound signals corresponding to a plurality of coil channels _i Modulating to obtain target masking noise so as to eliminate the influence of transcranial magnetic stimulation coil noise on evoked nerve response. Therefore, the method adapts to individuation adaptation in an automatic closed-loop feedback type adjustment mode, and then the automatic generation of individuation accurate masking noise can be realized without the active adjustment of a tested person or a patient. Therefore, the defects that the tested or the patient needs to actively adjust the noise volume or the noise masking effect is poor in the current scheme are overcome, and the artificial subjective influence of transcranial magnetic stimulation induced electroencephalogram in brain evaluation is eliminated. In addition, the embodiment of the application does not depend on the operation of a tested person or a patient, so that the masking of the transcranial magnetic stimulation coil noise can be suitable for some patients with incapacitation of active behavior, and the transcranial magnetic stimulation evoked neural response assessment can be applied to clinical severe patients.

Referring to fig. 8, fig. 8 is a flow chart of a method for generating masking noise for craniomagnetic stimulation according to an embodiment of the present application. As shown in fig. 8, the cranial magnetic stimulation masking noise generation method includes, but is not limited to, the following steps:

s801: in the ith transcranial magnetic test, the masking noise A is played _i-1 In the case of (a), a plurality of first sound signals corresponding to a plurality of coil channels are acquired.

In the present embodiment, i is 1 or moreMasking noise a _i-1 From the i-1 th transcranial magnetic test;

s802: processing the plurality of first sound signals to obtain a second sound signal B _i 。

S803: a plurality of first brain electrical signals corresponding to each of a plurality of first pulses are acquired on a plurality of coil channels.

In this embodiment, the plurality of first electroencephalograms are in one-to-one correspondence with the plurality of coil channels, and the acquisition period of the plurality of first electroencephalograms is the same as the acquisition period of the plurality of first sound signals;

s804: performing auditory evoked potential analysis on a plurality of first brain electrical signals corresponding to each first pulse to obtain an auditory evoked potential judgment result C _i 。

S805: auditory evoked potential judgment result C _i When the preset condition is not satisfied, determining a result C according to the auditory evoked potential _i Sound modulation parameter D for the i-1 th transcranial magnetic test _i-1 Adjusting to obtain sound modulation parameter D _i And based on the sound modulation parameter D _i For the second sound signal B _i Modulating to obtain masking noise A of ith+1st transcranial magnetic test _i And (3) performing the (i+1) th transcranial magnetic test until the preset condition is met.

In the present embodiment, when i=1, the sound modulation parameter D ₁ Is a preset parameter;

s806: auditory evoked potential judgment result C _i When the preset condition is met, the noise A is masked _i-1 The noise is masked as a target.

The specific implementation process of step S801 to step S806 may refer to specific functions of the electroencephalogram acquisition module, the noise acquisition module, the hearing evoked potential analysis module, the noise processing module, and the sound modulation module, which are not described herein.

Referring to fig. 9, fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 9, the electronic device 900 includes a transceiver 901, a processing unit 902, and a storage 903. Which are connected by a bus 904. The memory 903 is used to store computer programs and data, and the data stored in the memory 903 may be transferred to the processing unit 902.

The processing unit 902 is configured to read the computer program in the storage 903 to perform the following operations:

In the ith transcranial magnetic test, the masking noise A is played _i-1 Under the condition of (1), a plurality of first sound signals corresponding to a plurality of coil channels are acquired, wherein i is an integer greater than or equal to 1, and noise A is masked _i-1 From the i-1 th transcranial magnetic test;

processing the plurality of first sound signals to obtain a second sound signal B _i ；

Collecting a plurality of first electroencephalograms corresponding to each first pulse in a plurality of first pulses on a plurality of coil channels, wherein the plurality of first electroencephalograms are in one-to-one correspondence with the plurality of coil channels, and the collecting period of the plurality of first electroencephalograms is the same as the collecting period of the plurality of first sound signals;

performing auditory evoked potential analysis on a plurality of first brain electrical signals corresponding to each first pulse to obtain an auditory evoked potential judgment result C _i ；

Auditory evoked potential judgment result C _i When the preset condition is not satisfied, determining a result C according to the auditory evoked potential _i Sound modulation parameter D for the i-1 th transcranial magnetic test _i-1 Adjusting to obtain sound modulation parameter D _i And based on the sound modulation parameter D _i For the second sound signal B _i Modulating to obtain masking noise A of ith+1st transcranial magnetic test _i Performing the (i+1) -th transcranial magnetic test until a preset condition is satisfied, wherein when i=1, the sound modulation parameter D ₁ Is a preset parameter;

auditory evoked potential judgment result C _i When the preset condition is met, the noise A is masked _i-1 The noise is masked as a target.

In an embodiment of the present invention, the second sound signal B is obtained by processing the plurality of first sound signals _i In aspects, the processing unit 902 is specifically configured to perform the following steps:

In an embodiment of the present invention, the processing unit 902 is specifically configured to perform the following steps in performing random scrambling on the phase of the noise spectrum of the fourth sound signal, and reconstructing the fifth sound signal according to the scrambled noise spectrum:

In an embodiment of the present invention, the hearing-induced potential analysis is performed on the plurality of first electroencephalogram signals corresponding to each first pulse to obtain the hearing-induced potential determination result C _i In aspects, the processing unit 902 is specifically configured to perform the following steps:

In an embodiment of the present invention, the processing unit 902 is specifically configured to perform the following steps in performing noise removal processing on each of the plurality of first electroencephalograms to obtain a plurality of second electroencephalograms:

In the embodiment of the present invention, the hearing-induced potential determination result C is determined based on the magnitude of the hearing-induced component and the magnitude of the induced component _i In aspects, the processing unit 902 is specifically configured to perform the following steps:

In the embodiment of the present invention, the result C is determined based on the auditory evoked potential _i Sound modulation parameter D for the i-1 th transcranial magnetic test _i-1 Adjusting to obtain sound modulation parameter D _i In aspects, the processing unit 902 is specifically configured to perform the following steps:

Sound modulation parameter D based on preset stepping unit _i-1 Each parameter or part of the parameters in the audio signal are subjected to step adjustment to obtain an audio modulation parameter D _i 。

It should be understood that the cranial magnetic stimulation masking noise generating device in the present application may include a smart Phone (such as an Android Phone, iOS Phone, windows Phone, etc.), a tablet computer, a palm computer, a notebook computer, a mobile internet device MID (Mobile Internet Devices, abbreviated as MID), a robot, a wearable device, etc. The above-described cranial magnetic stimulation masking noise generating device is merely exemplary and not exhaustive, including but not limited to the above-described cranial magnetic stimulation masking noise generating device. In practical application, the cranial magnetic stimulation masking noise generating device may further include: intelligent vehicle terminals, computer devices, etc.

From the above description of embodiments, it will be apparent to those skilled in the art that the present invention may be implemented in software in combination with a hardware platform. With such understanding, all or part of the technical solution of the present invention contributing to the background art may be embodied in the form of a software product, which may be stored in a storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in the various embodiments or parts of the embodiments of the present invention.

Accordingly, embodiments of the present application also provide a computer-readable storage medium storing a computer program that is executed by a processor to implement some or all of the steps of any of the cranial magnetic stimulation masking noise generation methods described in the method embodiments above. For example, the storage medium may include a hard disk, a floppy disk, an optical disk, a magnetic tape, a magnetic disk, a flash memory, etc.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the cranial magnetic stimulation masking noise generation methods described in the method embodiments above.

It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously according to the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all alternative embodiments, and that the acts and modules referred to are not necessarily required in the present application.

In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, such as the division of the units, merely a logical function division, and there may be additional divisions when actually implemented, such as multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist alone physically, or two or more units may be integrated into one unit. The integrated units described above may be implemented either in hardware or in software program modules.

The integrated units, if implemented in the form of software program modules, may be stored in a computer-readable memory for sale or use as a stand-alone product. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, and the memory may include: flash disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.

The foregoing has outlined rather broadly the more detailed description of the embodiments herein, and the detailed description of the principles and embodiments herein has been presented in terms of specific examples only to assist in the understanding of the methods and concepts of the present application; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims

1. The device is characterized by comprising an electroencephalogram acquisition module, a noise acquisition module, an auditory evoked potential analysis module, a noise processing module and a sound modulation module;

The noise acquisition module is used for playing the masking noise A in the ith transcranial magnetic test _i-1 In the case of (1), a plurality of first sound signals corresponding to a plurality of coil channels are acquired, wherein i is an integer greater than or equal to 1, and the masking noise A _i-1 From the i-1 th transcranial magnetic test;

The electroencephalogram acquisition module is used for acquiring a plurality of first electroencephalograms corresponding to each first pulse in a plurality of first pulses on the plurality of coil channels, wherein the plurality of first electroencephalograms are in one-to-one correspondence with the plurality of coil channels, and the acquisition time period of the plurality of first electroencephalograms is the same as the acquisition time period of the plurality of first sound signals;

the hearing evoked potential analysis module is used for carrying out hearing evoked potentials on the plurality of first brain electrical signals corresponding to each first pulseAnalysis to obtain auditory evoked potential judgment result C _i ；

The sound modulation module is used for judging the result C of the hearing evoked potential _i When the preset condition is not satisfied, determining a result C according to the hearing evoked potential _i Sound modulation parameter D for the i-1 th transcranial magnetic test _i-1 Adjusting to obtain sound modulation parameter D _i And based on the sound modulation parameter D _i For the second sound signal B _i Modulating to obtain masking noise A of ith+1st transcranial magnetic test _i Performing the (i+1) -th transcranial magnetic test until a preset condition is met, wherein when i=1, the sound modulation parameter D ₁ Is a preset parameter;

the sound modulation module is also used for judging the result C of the hearing evoked potential _i When the preset condition is met, masking noise A _i-1 The noise is masked as a target.

2. The apparatus of claim 1, wherein the device comprises a plurality of sensors,

processing the plurality of first sound signals to obtain a second sound signal B _i In an aspect, the noise processing module is specifically configured to:

normalizing each first sound signal based on the amplitude of each first sound signal in the plurality of first sound signals to obtain a plurality of third sound signals;

randomly connecting the plurality of third sound signals in series to obtain a fourth sound signal;

the plurality of sixth sound signals are superimposed and averaged to obtain the second sound signal B _i 。

3. The apparatus of claim 2, wherein the device comprises a plurality of sensors,

the noise processing module is specifically configured to:

reconstructing the fifth sound signal according to the second time series phase.

4. A device according to any one of claims 1 to 3, wherein,

performing auditory evoked potential analysis on the plurality of first electroencephalogram signals corresponding to each first pulse to obtain an auditory evoked potential judgment result C _i In an aspect, the auditory evoked potential analysis module is specifically configured to:

performing noise removal processing on each of the plurality of first electroencephalogram signals to obtain a plurality of second electroencephalogram signals, wherein the plurality of second electroencephalogram signals are in one-to-one correspondence with the plurality of first electroencephalogram signals;

Based on the moment of issuing each first pulse, intercepting each second electroencephalogram signal in the plurality of second electroencephalogram signals to obtain a plurality of first signal fragments and a plurality of second signal fragments, wherein the plurality of first signal fragments are in one-to-one correspondence with the plurality of second electroencephalogram signals, and the plurality of second signal fragments are in one-to-one correspondence with the plurality of second electroencephalogram signals;

determining an auditory evoked component in the ith transcranial magnetic test based on the plurality of first signal segments;

determining an evoked component in the ith transcranial magnetic test based on the plurality of second signal segments;

based on the amplitude of the hearing-inducing component and the amplitude of the inducing componentDetermining the hearing evoked potential determination result C _i 。

5. The apparatus of claim 4, wherein the device comprises a plurality of sensors,

in the aspect of performing noise removal processing on each of the plurality of first electroencephalogram signals to obtain a plurality of second electroencephalogram signals, the hearing evoked potential analysis module is specifically configured to:

based on the moment of issuing each first pulse, respectively interpolating each first pulse on each first electroencephalogram signal to obtain a plurality of third electroencephalogram signals, wherein the plurality of third electroencephalogram signals are in one-to-one correspondence with the plurality of first electroencephalogram signals;

For each third electroencephalogram signal in a plurality of third electroencephalogram signals, acquiring an average value of amplitude values of each third electroencephalogram signal in a preset time period;

subtracting the average value from the amplitude value of each third electroencephalogram signal at each time to obtain a plurality of fourth electroencephalogram signals, wherein the fourth electroencephalogram signals are in one-to-one correspondence with the third electroencephalogram signals;

and performing independent component analysis on the plurality of sixth electroencephalogram signals to obtain the plurality of second electroencephalogram signals.

6. The apparatus of claim 4, wherein the device comprises a plurality of sensors,

determining the hearing evoked potential determination result C based on the magnitude of the hearing-induced component and the magnitude of the induced component _i In an aspect, the auditory evoked potential analysis module is specifically configured to:

taking the time of issuing each first pulse as a dividing line, and carrying out signal division on the second electroencephalogram signal of each first pulse on each channel to obtain a baseline signal of each first pulse on each channel;

if the amplitude of the hearing-induced component is higher than or equal to the amplitude threshold, or the amplitude of the induced component is higher than or equal to the amplitude threshold, the hearing-induced potential determination result C is determined _i In the presence of auditory evoked potential, otherwise, determining the auditory evoked potential determination result C _i Is without auditory evoked potentials.

7. A device according to any one of claims 1 to 3, wherein,

at the result C of the judgment according to the auditory evoked potential _i Sound modulation parameter D for the i-1 th transcranial magnetic test _i-1 Adjusting to obtain sound modulation parameter D _i In an aspect, the sound modulation module is specifically configured to:

the sound modulation parameter D is based on a preset stepping unit _i-1 Each parameter or part of parameters in the audio signal are subjected to step adjustment to obtain the audio modulation parameter D _i 。

8. An electronic device comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the one or more programs comprising instructions for:

In the ith transcranial magnetic test, the masking noise A is played _i-1 In the case of (1), a plurality of first sound signals corresponding to a plurality of coil channels are acquired, wherein i is an integer greater than or equal to 1, and the masking noise A _i-1 From the i-1 th transcranial magnetic test;

Collecting a plurality of first electroencephalograms corresponding to each first pulse in a plurality of first pulses on the plurality of coil channels, wherein the plurality of first electroencephalograms are in one-to-one correspondence with the plurality of coil channels, and the collecting period of the plurality of first electroencephalograms is the same as the collecting period of the plurality of first sound signals;

performing auditory evoked potential analysis on the plurality of first electroencephalogram signals corresponding to each first pulse to obtain an auditory evoked potential judgment result C _i ；

At the hearing evoked potential determination result C _i When the preset condition is not satisfied, determining a result C according to the hearing evoked potential _i Sound modulation parameter D for the i-1 th transcranial magnetic test _i-1 Adjusting to obtain sound modulation parameter D _i And based on the sound modulation parameter D _i For the second sound signal B _i Modulating to obtain masking noise A of ith+1st transcranial magnetic test _i Performing the (i+1) -th transcranial magnetic test until a preset condition is met, wherein when i=1, the sound modulation parameter D ₁ Is a preset parameter;

at the hearing evoked potential determination result C _i When the preset condition is met, masking noise A _i-1 The noise is masked as a target.

9. A computer readable storage medium, wherein the computer readable storage medium stores a computer program, the computer program being executed by a processor to: