WO2024103445A1

WO2024103445A1 - Neuromodulation system

Info

Publication number: WO2024103445A1
Application number: PCT/CN2022/135409
Authority: WO
Inventors: 刘雪; 王枫
Original assignee: 深圳先进技术研究院; 中国科学院深圳理工大学(筹)
Priority date: 2022-11-18
Filing date: 2022-11-30
Publication date: 2024-05-23
Also published as: CN115887918A

Abstract

A neuromodulation system, comprising: a neuromodulation module (110), a nanosensor (120), and a signal analysis module (130), wherein the neuromodulation module (110) is configured for transmitting a stimulation signal to a modulation brain region on the basis of a modulation parameter sent by the signal analysis module (130), so as to perform neuromodulation of the modulation brain region; the nanosensor (120) comprises a probing unit (121) and a signal transmission unit (122), and the signal transmission unit (122) is configured for sending a feedback electroencephalographic signal collected by the probing unit (121) to the signal analysis module (130); wherein the nanosensor (120) is placed into the modulation brain region by means of a blood vessel; the signal analysis module (130) is configured for generating a correction parameter on the basis of the received feedback electroencephalographic signal and sending the modulation parameter corrected on the basis of the correction parameter to the neuromodulation module (110). By providing the neuromodulation system having a feedback mechanism, the problem that existing neuromodulation systems depend on the experience of professionals is solved, and the modulation effect of the neuromodulation system is improved.

Description

Neural regulatory system

This application claims priority to the Chinese patent application filed with the China Patent Office on November 18, 2022, with application number 202211445964.8. The entire contents of the above application are incorporated by reference into this application.

Technical Field

The present application relates to the field of medical device technology, for example, to a neural regulation system.

Background technique

Neuromodulation technology can reversibly regulate the activity of the central nervous system, peripheral nervous system or autonomic nervous system using implantable or non-implantable technology, thereby improving the patient's clinical symptoms. Many forms of neuromodulation have been used to regulate brain function and treat brain diseases. Some physical methods, such as electrical, magnetic, optical, and acoustic stimulation, can manipulate neuronal activity to achieve neuromodulation.

During use, the existing neuroregulatory system needs to perform neuroregulation on the regulated brain area based on pre-set regulation parameters. The regulation effect depends entirely on the practical experience of professionals, and the regulation accuracy is not high.

Summary of the invention

An embodiment of the present application provides a neural regulation system.

According to one embodiment of the present application, a neural regulation system is provided, the system comprising: a neural regulation module, a nanosensor and a signal analysis module;

Wherein, the neural regulation module is configured to transmit a stimulation signal to the regulated brain area based on the regulation parameters sent by the signal analysis module, so as to perform neural regulation on the regulated brain area;

The nanosensor comprises a detection unit and a signal transmitting unit, wherein the signal transmitting unit is configured to send the feedback EEG signal collected by the detection unit to the signal analysis module; wherein the nanosensor is placed in the regulated brain area through a blood vessel;

The signal analysis module is configured to generate correction parameters based on the received feedback EEG signal, and send the control parameters corrected based on the correction parameters to the neural control module.

It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic diagram of the structure of a neural regulation system provided by one embodiment of the present application;

FIG2 is a schematic diagram of the structure of another neural regulation system provided by an embodiment of the present application;

FIG3 is a schematic structural diagram of a specific example of a neural regulation system provided by an embodiment of the present application;

FIG4 is a schematic diagram of the structure of another neural regulation system provided by an embodiment of the present application;

FIG5 is a schematic diagram of the structure of another neural regulation system provided by an embodiment of the present application;

FIG6 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present application.

Detailed ways

In order to enable those skilled in the art to better understand the embodiments of the present application, the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work should fall within the scope of protection of this application.

It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

FIG1 is a schematic diagram of the structure of a neural regulation system provided by an embodiment of the present application. The present embodiment is applicable to the case of regulating the nervous system function of the brain region of interest of the subject under test. The system can be implemented in software and/or hardware.

In this embodiment, the neuroregulatory system includes: a neuroregulatory module 110, a nanosensor 120 and a signal analysis module 130; wherein the neuroregulatory module 110 is used to transmit a stimulation signal to the regulated brain area based on the control parameters sent by the signal analysis module 130, so as to perform neuroregulation on the regulated brain area; the nanosensor 120 includes a detection unit 121 and a signal transmission unit 122, and the signal transmission unit 122 is used to send the feedback EEG signal collected by the detection unit 121 to the signal analysis module 130; wherein the nanosensor 120 is placed in the regulated brain area through a blood vessel; the signal analysis module 130 is used to generate a correction parameter based on the received feedback EEG signal, and send the control parameter corrected based on the correction parameter to the neuroregulatory module 110.

For example, the neuroregulatory module 110 is used to represent a functional module that performs neuroregulatory operations on the regulated brain area. Exemplarily, the neuroregulatory module 110 includes but is not limited to a transcranial electrical stimulation module, a transcranial magnetic stimulation module, an ultrasound stimulation module, an optogenetic module, or an infrared stimulation module. The neuroregulatory module 110 is not limited here.

In an optional embodiment, when the neural regulation module 110 is a transcranial electrical stimulation module, the stimulation signal is an electrical signal, and the control parameters include but are not limited to the stimulation position, electrical stimulation intensity, electrical stimulation frequency, and coverage, etc. When the neural regulation module 110 is a transcranial stimulation module, the stimulation signal is a magnetic signal, and the control parameters include but are not limited to the stimulation position, magnetic stimulation intensity, magnetic stimulation frequency, and coverage, etc. When the neural regulation module 110 is an ultrasonic stimulation module, the stimulation signal is an ultrasonic signal, and the control parameters include but are not limited to the stimulation position, ultrasonic intensity, ultrasonic frequency, ultrasonic wavelength, and coverage, etc. When the neural regulation module 110 is an optogenetic module or an infrared stimulation module, the stimulation signal is an optical signal, and the control parameters include but are not limited to the stimulation position, light source intensity, light source frequency, light source wavelength, and coverage, etc. The specific control parameters are not limited here, and users can customize the settings according to actual needs.

For example, the nanosensor 120 is used to characterize a sensor whose size reaches the nanometer level. In this embodiment, the detection unit 121 in the nanosensor 120 is used to collect feedback EEG signals of the regulated brain area during the neural regulation process, and the signal transmitting unit 122 is used to send the feedback EEG signals collected by the detection unit 121 to the signal analysis module 130.

In an optional embodiment, the nanosensor 120 reaches the regulated brain region through blood vessels via femoral artery puncture. The advantage of using the nanosensor 120 is that the minimally invasive intervention method can not only collect feedback EEG signals from deeper regulated brain regions, increase the stimulation depth of the neural regulation system, and expand the application range of the neural regulation system, but also avoid invasive craniotomy on the subject being measured, reducing the degree of trauma to the subject being measured.

Wherein, for example, the signal type of the feedback EEG signal is related to the brain partition to which the regulated brain area belongs, and the signal type of the feedback EEG signal includes spontaneous EEG signals and/or induced EEG signals. Wherein, the spontaneous EEG signal is used to characterize the potential changes spontaneously generated by the measured object in the absence of external stimulation, and the induced EEG signal is used to characterize the potential changes generated by the measured object under external stimulation. Exemplarily, spontaneous EEG signals include but are not limited to sleep EEG signals, delta waves, beta waves, alpha waves, etc., and induced EEG signals include but are not limited to somatosensory evoked potential signals, visual evoked potential signals, brainstem auditory evoked potential signals, motor evoked potential signals, event-related potential signals, etc.

For example, the correction parameter can be used to characterize the correction direction and correction amplitude of the control parameter. For example, when the control parameter includes signal strength, the correction direction can be increase or decrease, such as when the correction parameter includes -3, which represents that the signal strength in the control parameter is reduced by 3 units. When the control parameter includes stimulation position, the correction direction can represent the correction direction of the stimulation position, such as upward, downward, left or right, etc.

In an optional embodiment, the signal analysis module 130 is used to: generate EEG parameters based on the feedback EEG signal, and generate correction parameters based on the EEG parameters when the EEG parameters do not meet the preset parameter conditions; wherein the EEG parameters include at least one of the EEG amplitude, EEG frequency and real-time EEG waveform, and the correction parameters include at least one of the correction intensity, correction frequency, correction wavelength, correction coverage and correction position of the control parameters.

Among them, exemplarily, the EEG amplitude can be the maximum amplitude, minimum amplitude or average amplitude of the feedback EEG signal, etc., and the EEG frequency can be the maximum frequency, minimum frequency or average frequency of the feedback EEG signal, etc.

For example, the preset parameter condition corresponding to the EEG amplitude is a preset amplitude range, the preset parameter condition corresponding to the EEG frequency is a preset frequency range, and the preset parameter condition corresponding to the real-time EEG waveform is a similarity range determined between the normal EEG waveform of the regulated brain area and the original EEG waveform before neural regulation, wherein the minimum similarity in the similarity range is the similarity between the normal EEG waveform and the original EEG waveform. Exemplarily, the preset amplitude range is 5-200 μV, the preset frequency range is 1-30 Hz, and the similarity range is 50%-100%.

The reason for setting the similarity range in this way is that the original EEG waveform before neural regulation is usually disordered and quite different from the normal EEG waveform, and the purpose of neural regulation is to correct the original EEG waveform to a normal EEG waveform. Therefore, in the process of neural regulation, the real-time EEG waveform of the regulated brain area will gradually approach the normal EEG waveform, and accordingly, the similarity between the real-time EEG waveform and the normal EEG waveform will become greater and greater.

In an optional embodiment, determining whether the EEG parameters meet preset parameter conditions includes: when the EEG parameters include a real-time EEG waveform, determining the similarity between the real-time EEG waveform and a normal EEG waveform, and determining whether the similarity meets a similarity range.

For example, when the number of EEG parameters is at least two, if there is at least one EEG parameter that does not satisfy the corresponding preset parameter condition, a correction parameter is generated based on the EEG parameter.

Among them, exemplarily, if the EEG amplitude is less than the minimum amplitude corresponding to the preset amplitude range, the correction direction of the correction strength is to increase, and the correction amplitude can be determined based on the amplitude difference between the EEG amplitude and the minimum amplitude, such as correction amplitude = a (minimum amplitude - EEG amplitude), where a represents the first preset weight. If the EEG amplitude is greater than the maximum amplitude corresponding to the preset amplitude range, the correction direction of the correction strength is to decrease, and the correction amplitude can be determined based on the amplitude difference between the EEG amplitude and the maximum amplitude, such as correction amplitude = b (EEG amplitude - maximum amplitude), where b represents the second preset weight. If the EEG frequency is less than the minimum frequency corresponding to the preset frequency range, the correction direction of the correction strength is to increase, and the correction amplitude can be determined based on the frequency difference between the EEG frequency and the minimum frequency, such as correction amplitude = c (minimum frequency - EEG frequency), where c represents the third preset weight. If the EEG frequency is greater than the maximum frequency corresponding to the preset frequency range, the correction direction of the correction strength is to decrease, and the correction amplitude can be determined based on the frequency difference between the EEG frequency and the maximum frequency, such as correction amplitude = d (EEG frequency - maximum frequency), where d represents the fourth preset weight. Among them, a, b, c and d can be the same or different.

Among them, exemplarily, if the similarity between the real-time EEG waveform and the normal EEG waveform does not meet the similarity range, at least one of the default correction wavelength, the default correction coverage range and the default correction position is used as a correction parameter. Exemplarily, the default correction wavelength can be a wavelength reduced by 1 unit, the default correction coverage range can be a coverage range reduced by 1 unit, and the default correction position can be moved upward by 1 unit distance.

In an optional embodiment, the signal analysis module 130 is used to: when the similarity between the current real-time EEG waveform and the original EEG waveform does not satisfy the similarity range, obtain the changing trend of the historical similarity difference between the historical similarity corresponding to the historical correction operation and the minimum similarity corresponding to the similarity range; if the changing trend is decreasing, continue to use the last correction wavelength, the last correction coverage range or the last correction position as the current correction parameter; if the changing trend is increasing, reversely adjust the correction direction in the last correction wavelength, the last correction coverage range or the last correction position, and use the adjusted correction wavelength, the adjusted correction coverage range or the adjusted correction position as the current correction parameter.

Among them, for example, the changing trend of the historical similarity difference needs to be determined based on the previous similarity corresponding to the previous correction operation and the previous similarity corresponding to the previous correction operation, wherein the previous correction parameter corresponding to the previous correction operation is at least one of the default correction wavelength, the default correction coverage range and the default correction position, or the previous correction parameter is a correction parameter after adjusting the correction direction of at least one of the default correction wavelength, the default correction coverage range and the default correction position.

For example, assuming that the last corrected wavelength is a wavelength that is reduced by 1 unit, when the change trend is increasing, the adjusted corrected wavelength in the current correction parameter is a wavelength that is increased by 1 unit.

In this embodiment, a nanosensor and a signal analysis module are set in the neural regulation system. The neural regulation module in the neural regulation system is used to transmit a stimulation signal to the regulated brain area based on the regulation parameters sent by the signal analysis module to perform neural regulation on the regulated brain area. The nanosensor includes a detection unit and a signal transmission unit. The signal transmission unit is used to send the feedback EEG signal collected by the detection unit to the signal analysis module, wherein the nanosensor is placed in the regulated brain area through a blood vessel. The signal analysis module is used to generate a correction parameter based on the received feedback EEG signal, and send the correction parameter based on the correction parameter to the neural regulation module. The embodiment of the present application provides a neural regulation system with a feedback mechanism, which solves the problem that the existing neural regulation system relies on the experience of professionals and improves the regulation effect of the neural regulation system.

FIG2 is a schematic diagram of the structure of another neural regulation system provided by an embodiment of the present application. This embodiment describes the neural regulation system in the above embodiment.

As shown in FIG. 2 , the neural regulation module 110 in the neural regulation system is an infrared stimulation module, and the stimulation signal is an infrared light regulation signal.

Exemplarily, the infrared band of the infrared light control signal can be a near infrared band or a mid-infrared band. The frequency of mid-infrared light belongs to the frequency range of chemical bond vibration, which produces a non-thermal effect on the biological system and can reduce tissue damage caused by nerve stimulation.

In an optional embodiment, the infrared stimulation module includes a light source, a beam shaping unit, an optical fiber processor, a parameter receiver, an infrared light controller and an optical fiber probe, wherein the light source is used to generate high-frequency electromagnetic pulses; the beam shaping unit is used to perform a shaping operation on the high-frequency electromagnetic pulses generated by the light source, and focus the shaped high-frequency electromagnetic pulses and input them into the optical fiber processor; the optical fiber processor is used to perform a coupling operation on the received focused high-frequency electromagnetic pulses; the parameter receiver is used to receive the control parameters sent by the signal analysis module 130; the infrared light controller is used to determine the infrared light control signal based on the control parameters and the received coupled high-frequency electromagnetic pulses; the optical fiber probe includes a first transmitter, and the first transmitter is used to transmit the infrared light control signal to the regulated brain area.

In an optional embodiment, the light source is a frequency-adjustable high-frequency electromagnetic wave source. Exemplarily, the frequency-adjustable high-frequency electromagnetic wave source has a wavelength range of 5-11 μm, a maximum pulse width of 500 ns, and a maximum repetition frequency of 100 kHz.

For example, the beam shaping unit may be made of a material having a transmittance to infrared light higher than a preset threshold and capable of achieving a focusing function.

In an optional embodiment, the optical fiber processor includes an optical fiber input end, an optical fiber coupler and a three-dimensional fine-tuning platform. The optical fiber input end is fixed on the optical fiber coupler, and the optical fiber coupler is fixed on the three-dimensional fine-tuning platform. The optical fiber input end is used to perform a coupling operation on the received focused high-frequency electromagnetic pulse and send the coupled high-frequency electromagnetic pulse to the infrared light controller. The three-dimensional fine-tuning platform is used to fine-tune the alignment of the optical fiber input end with the light spot.

Wherein, illustratively, the optical fiber input end is fixed on the optical fiber coupler by a knob. Wherein, for example, the optical fiber input end has a bevel angle of Brewster's angle, and when the polarization direction of the incident light is parallel to the incident plane, the coupling efficiency is optimal.

In an optional embodiment, the beam shaping unit can be arranged at a position of 3 cm from the light source outlet. The advantage of such arrangement is that if the distance is too far, the high-frequency electromagnetic wave will be attenuated too much in the air, and if the distance is too close, the effect of fine-tuning the three-dimensional fine-tuning platform will not be obvious.

For example, the three-dimensional fine-tuning platform includes a fine-tuning frame, and the fine-tuning frame includes five adjustment modes: horizontal rotation, overall horizontal displacement, overall vertical displacement, coupler horizontal displacement, and coupler vertical displacement, and the fine-tuning step length of each dimension is 0.1 mm. For example, the three-dimensional fine-tuning platform can fine-tune the position of the lens and the fiber holder and their relative positions.

Among them, the infrared light controller has an optical stimulation system with different frequencies and light intensities. The wavelength range of the adjustable infrared light is 1000-1700nm, and the maximum light intensity is 10mW/mm ^-2 . The optical stimulation source of the corresponding wavelength band and light intensity can be determined according to the control parameters.

Among them, the distance between the end of the fiber optic probe and the head can be within 20 cm to play the function of neuroregulation.

Among them, by way of example, the optical fiber used in this embodiment can be a multi-mode optical fiber with an inner diameter of 9-12μm, an outer diameter of 170μm, a numerical aperture of 0.3, and an effective band of 1.5μm-9.5μm. A rubber sleeve is provided in the middle section of the optical fiber to protect the optical fiber and enhance the mechanical structure strength of the optical fiber. The end of the optical fiber is in a cut state, and the cut surface is smooth and flat.

Fig. 3 is a schematic diagram of a specific example of a neural regulation system provided by an embodiment of the present application. For example, the neural regulation system includes an infrared stimulation module, a nanosensor 120 and a signal analysis module 130, wherein the infrared stimulation module includes a frequency-adjustable high-frequency electro-magnetic wave source, a beam shaping unit, a fiber coupler, a three-dimensional fine-tuning platform, a parameter receiver, an infrared light controller and a fiber probe.

Based on the above embodiment, optionally, the nanosensor 120 also includes negatively charged nanoparticles, which cover the surface of the nanosensor 120. The nanoparticles are used to convert the received infrared light control signal into heat to activate the thermosensitive ion channels in the control brain area and perform neural control on the control brain area.

Among them, for example, thermosensitive ion channels are used to characterize ion channels that are sensitive to heat on neurons. Exemplarily, thermosensitive ion channels include but are not limited to temperature-sensitive transient receptor potential ion channel subfamily V member 1 (TRPV1), temperature-sensitive transient receptor potential ion channel subfamily V member 2 (TRPV2), temperature-sensitive transient receptor potential ion channel subfamily V member 3 (TRPV3) and temperature-sensitive transient receptor potential ion channel subfamily V member 4 (TRPV4), etc.

The advantage of this arrangement is that the nanosensor 120 can both collect and feedback EEG signals and perform neuroregulatory operations on the regulated brain area, while improving the regulatory effect and efficiency of the neuroregulatory system.

In this embodiment, the neural control module is set as an infrared stimulation module, which includes a light source, a beam shaping unit, an optical fiber processor, a parameter receiver, an infrared light controller and an optical fiber probe, so as to introduce high-frequency infrared light control signals into the control brain area, thereby solving the problem of poor control effect of the existing infrared stimulation module. Furthermore, in this embodiment, by covering the surface of the nanosensor with negatively charged nanoparticles, the nanosensor and the infrared stimulation module are efficiently combined, thereby further improving the control effect and efficiency of the neural control system.

FIG4 is a schematic diagram of the structure of another neural regulation system provided by an embodiment of the present application. This embodiment describes the neural regulation system in the above embodiment.

As shown in FIG4 , the neuroregulatory system further includes an imaging module 140, which is used to collect at least one brain region image of the regulated brain region and send each brain region image to the signal analysis module 130 respectively; correspondingly, the signal analysis module 130 is used to generate correction parameters based on the received feedback EEG signal and each brain region image.

Among them, exemplary, the imaging module 140 includes but is not limited to a direct digital radiography system (Direct Digit Radiography, DR), a computed tomography (Computed Tomography, CT), a magnetic resonance imaging (Magnetic Resonance Imaging, MRI), a positron emission computed tomography (Positron Emission Computed Tomography, PET) or an ultrasound device, etc.

For example, EEG parameters are generated based on feedback EEG signals, and control results are generated based on images of each brain region. When the EEG parameters do not meet the preset parameter conditions and/or the control results do not meet the preset control conditions, correction parameters are generated based on the EEG parameters and/or the control results.

Among them, for example, when the EEG parameters do not meet the preset parameter conditions, correction parameters are generated based on the EEG parameters; when the control results do not meet the preset control conditions, correction parameters are generated based on the control results; when the EEG parameters do not meet the preset parameter conditions and the control results do not meet the preset control conditions, correction parameters are generated based on the EEG parameters and the control results.

In an optional embodiment, the control result includes the control center position and/or the change trend of the region of interest. For example, the control center position can be used to characterize the center position coordinates of the region of interest in the regulated brain area, and the change trend of the region of interest can be used to characterize the change trend of the color or size of the region of interest in the regulated brain area. Exemplarily, the change trend of the region of interest is a lighter color or a smaller size.

In this embodiment, correspondingly, the preset control condition includes a preset distance range and/or a trend of the change of the region of interest as a lighter color or a smaller size. For example, the preset distance range can be used to characterize the distance range of the control center position relative to the current center position corresponding to the current control parameter, wherein the current control center position is used to characterize the position coordinates of the current control center. Exemplarily, the distance range can be [0 2mm].

In one embodiment, for example, when the distance between the control center position and the current center position does not meet the distance range, it is considered that the control result does not meet the preset control conditions, and the direction of the control center position relative to the current center position is used as the correction direction of the correction position in the correction parameters, and the distance of the control center position relative to the current center position is used as the correction amplitude of the correction position in the correction parameters.

In one embodiment, for example, when the change trend of the region of interest does not meet the preset control condition, the correction direction in the last correction parameter is adjusted in the reverse direction to obtain the adjusted correction parameter, and the adjusted correction parameter is used as the current correction parameter. The last correction parameter includes at least one of the last correction intensity, the last correction frequency, the last correction wavelength, the last correction coverage, and the last correction position of the control parameter.

When the EEG parameters do not satisfy the preset parameter conditions and the control results do not satisfy the preset control conditions, correction parameters are generated based on the EEG parameters and the control results.

In one embodiment, when the EEG amplitude does not meet the preset amplitude range or the EEG frequency does not meet the preset frequency range, the correction intensity in the correction parameter is determined based on the EEG amplitude or the correction frequency is determined based on the EEG frequency. When the control center position does not meet the distance between the control center position and the current center position does not meet the distance range, the correction position in the correction parameter is determined based on the control center position.

In one embodiment, when the similarity between the real-time EEG waveform and the normal EEG waveform does not meet the similarity range, and the change trend of the region of interest meets the preset control conditions, the previous correction parameter is used as the current correction parameter, and the correction direction in the previous correction parameter is adjusted in reverse to obtain the adjusted correction parameter, and the adjusted correction parameter is used as the current correction parameter. The previous correction parameter includes the previous correction wavelength and/or the previous coverage range.

In an optional embodiment, the imaging module 140 includes an imaging transmitting unit and a receiving unit. The imaging transmitting unit is used to transmit an imaging signal to the regulated brain area based on the imaging parameters, and the receiving unit is used to generate a brain area image based on the received reflection signal.

In an optional embodiment, when the neural regulation module 110 is an infrared stimulation module, the imaging module 140 is an infrared imaging module, the imaging signal is an infrared light imaging signal, the imaging transmitting unit is a second transmitter, and the second transmitter is installed on the optical fiber probe in the infrared stimulation module; accordingly, the infrared light controller in the infrared stimulation module is also used to: determine the infrared light imaging signal based on the imaging parameters and the received coupled high-frequency electromagnetic pulse; the second transmitter is used to transmit the infrared light imaging signal to the regulated brain area.

FIG5 is a schematic diagram of the structure of another neural regulation system provided by an embodiment of the present application. For example, when the neural regulation module 110 in the neural regulation system is an infrared stimulation module, the imaging module 140 is an infrared imaging module.

The advantage of such a configuration is that the infrared imaging module can share light sources, beam shaping units, optical fiber processors, parameter receivers, infrared light controllers, optical fiber probes and other devices with the infrared stimulation module, which can not only reduce the space occupied by the neural regulation system, but also reduce the mutual interference between the signals of the infrared imaging module and the infrared stimulation module, while ensuring the stability of the infrared light regulation signal and the infrared light imaging signal, thereby ensuring the neural regulation effect of the infrared stimulation module and the imaging effect of the infrared imaging module 140.

In an optional embodiment, the imaging parameters include an imaging frequency and an imaging wavelength. The imaging frequency corresponds to a frequency range of 0.1-10 THz, and the imaging wavelength corresponds to a wavelength range of 0.03-3 mm.

The advantage of this setting is that terahertz waves are between microwave and infrared bands. Since terahertz waves are highly sensitive to interstitial water and cell density and their spatial arrangement, terahertz spectroscopy can be used in medicine to determine the development of areas of interest in the brain. The amount of water content can also be used to distinguish between normal tissue areas and areas of interest, thus ensuring the image quality of brain images.

In this embodiment, an imaging module is provided in the neural regulation system, and the imaging module is used to collect at least one brain region image of the regulated brain region, and send each brain region image to the signal analysis module respectively. Correspondingly, the signal analysis module is used to generate correction parameters based on the received feedback EEG signals and each brain region image, thereby solving the problem of low accuracy of the correction parameters and further improving the regulation effect of the neural regulation system.

Fig. 6 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present application. The electronic device 10 can be configured with the functional device in the signal analysis module 130 in the embodiment of the present application.

The electronic device 10 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device 10 may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown in the embodiments of the present application, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and/or required herein.

As shown in FIG6 , the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor 11, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the ROM 12 or the computer program loaded from the storage unit 18 to the RAM 13. Various programs and data required for the operation of the electronic device 10 can also be stored in the RAM 13. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input/output (I/O) interface 15 is also connected to the bus 14.

A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices through a computer network such as the Internet and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a method for performing signal analysis on feedback EEG signals and/or brain area images.

In some embodiments, the method for performing signal analysis on feedback EEG signals and/or brain area images may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed on the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the method for performing signal analysis on feedback EEG signals and/or brain area images in any other appropriate manner (e.g., by means of firmware).

Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that are executable and/or interpreted on a programmable system that includes at least one programmable processor that may be a special purpose or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

It should be understood that the various forms of modules shown above can be used to reorder, add or delete modules. For example, the modules described in this application can be executed in parallel, sequentially or in different orders, as long as the desired results of the embodiments of this application can be achieved, and this document does not limit this.

It should be apparent to those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made depending on design requirements and other factors.

Claims

A neural regulation system comprises: a neural regulation module (110), a nanosensor (120) and a signal analysis module (130);

Wherein, the neural regulation module (110) is configured to transmit a stimulation signal to the regulated brain area based on the regulation parameters sent by the signal analysis module (130) so as to perform neural regulation on the regulated brain area;

The nanosensor (120) comprises a detection unit (121) and a signal transmitting unit (122), wherein the signal transmitting unit (122) is configured to send the feedback electroencephalogram signal collected by the detection unit (121) to the signal analysis module (130); wherein the nanosensor (120) is placed in the regulated brain region through a blood vessel;

The signal analysis module (130) is configured to generate correction parameters based on the received feedback EEG signal, and to send the control parameters corrected based on the correction parameters to the neural control module (110).
The neural regulation system according to claim 1, wherein the signal analysis module (130) is configured to:

Based on the feedback EEG signal, an EEG parameter is generated, and in response to the EEG parameter not satisfying a preset parameter condition, a correction parameter is generated based on the EEG parameter;

Among them, the EEG parameters include at least one of EEG amplitude, EEG frequency and real-time EEG waveform, and the correction parameters include at least one of the correction intensity, correction frequency, correction wavelength, correction coverage and correction position of the control parameters.
The neural regulation system according to claim 1, wherein the neural regulation module (110) is an infrared stimulation module, and the stimulation signal is an infrared light regulation signal.
According to the neural regulation system of claim 3, the nanosensor (120) further includes negatively charged nanoparticles, which cover the surface of the nanosensor (120), and the nanoparticles are used to convert the received infrared light regulation signal into heat to activate the thermosensitive ion channels in the regulated brain area, thereby performing neural regulation on the regulated brain area.
According to the neural regulation system according to claim 3, the infrared stimulation module includes a light source, a beam shaping unit, an optical fiber processor, a parameter receiver, an infrared light controller and an optical fiber probe, wherein the light source is configured to generate a high-frequency electromagnetic pulse; the beam shaping unit is configured to perform a shaping operation on the high-frequency electromagnetic pulse generated by the light source, and focus the shaped high-frequency electromagnetic pulse and input it into the optical fiber processor; the optical fiber processor is configured to perform a coupling operation on the received focused high-frequency electromagnetic pulse; the parameter receiver is configured to receive the control parameters sent by the signal analysis module (130); the infrared light controller is configured to determine the infrared light control signal based on the control parameters and the received coupled high-frequency electromagnetic pulse; the optical fiber probe includes a first transmitter, and the first transmitter is configured to transmit the infrared light control signal to the regulated brain area.
The neural regulation system according to claim 5, wherein the optical fiber processor comprises an optical fiber input end, an optical fiber coupler and a three-dimensional fine-tuning platform, the optical fiber input end is fixed on the optical fiber coupler, the optical fiber coupler is fixed on the three-dimensional fine-tuning platform, the optical fiber input end is configured to perform a coupling operation on the received focused high-frequency electromagnetic pulse and send the coupled high-frequency electromagnetic pulse to the infrared light controller, and the three-dimensional fine-tuning platform is configured to fine-tune the alignment of the optical fiber input end with the light spot.
The neural regulation system according to claim 1, further comprising an imaging module (140), wherein the imaging module (140) is configured to collect at least one brain region image of the regulated brain region and send each of the brain region images to the signal analysis module (130);

The signal analysis module (130) is configured to generate correction parameters based on the received feedback electroencephalogram signal and each of the brain region images.
According to the neuroregulatory system according to claim 7, the imaging module (140) includes an imaging transmitting unit and a receiving unit, the imaging transmitting unit is configured to transmit an imaging signal to the regulated brain area based on imaging parameters, and the receiving unit is configured to generate a brain area image based on the received reflection signal.
The neural regulation system according to claim 8, wherein, when the neural regulation module (110) is an infrared stimulation module, the imaging module (140) is an infrared imaging module, the imaging signal is an infrared light imaging signal, the imaging emission unit is a second emitter, and the second emitter is installed on the optical fiber probe in the infrared stimulation module;

The infrared light controller in the infrared stimulation module is also configured to: determine an infrared light imaging signal based on imaging parameters and the received coupled high-frequency electromagnetic pulses; and the second transmitter is configured to transmit the infrared light imaging signal to the regulated brain area.
The neural regulation system according to claim 9, wherein the imaging parameters include imaging frequency and imaging wavelength, the frequency range corresponding to the imaging frequency is 0.1-10 THz, and the wavelength range of the imaging wavelength is 0.03-3 mm.