A neural regulatory system

Abstract

The present invention discloses a neuroregulatory system, which includes: a neuroregulatory module, a nanosensor, and a signal analysis module; wherein the neuroregulatory module is used to transmit a stimulation signal to a regulated brain region based on the control parameters sent by the signal analysis module, so as to perform neuroregulation on the regulated brain region; the nanosensor includes a detection unit and a signal transmission unit, and the signal transmission unit is used to transmit the feedback EEG signal collected by the detection unit to the signal analysis module; wherein the nanosensor is placed in the regulated brain region through a blood vessel; the signal analysis module is used to generate a correction parameter based on the received feedback EEG signal, and transmit the correction parameter based on the correction parameter to the neuroregulatory module. An embodiment of the present invention provides a neuroregulatory system with a feedback mechanism, which solves the problem that the existing neuroregulatory system relies on the experience of professionals and improves the control effect of the neuroregulatory system.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular to a neural regulation system. Background Art

[0002] Neuromodulation technology can reversibly regulate the activity of the central nervous system, peripheral nervous system, or autonomic nervous system using implantable or non-implantable technologies, thereby improving patients' 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.

[0003] During use, the existing neuroregulatory system needs to perform neuroregulation on the regulated brain area based on pre-set control parameters. The control effect depends entirely on the practical experience of professionals, and the control accuracy is not high. Summary of the Invention

[0004] The embodiments of the present invention provide a neural regulation system to solve the problem that existing neural regulation systems rely on the experience of professionals, thereby improving the regulation effect of the neural regulation system.

[0005] According to one embodiment of the present invention, a neural regulation system is provided, the system comprising: a neural regulation module, a nanosensor, and a signal analysis module;

[0006] The neural regulation module is configured to transmit a stimulation signal to the regulated brain region based on the regulation parameters sent by the signal analysis module, so as to perform neural regulation on the regulated brain region;

[0007] The nanosensor includes a detection unit and a signal transmitting unit, wherein the signal transmitting 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;

[0008] The signal analysis module is used 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.

[0009] In an optional embodiment, the signal analysis module is specifically configured to:

[0010] generating an EEG parameter based on the feedback EEG signal, and generating a correction parameter based on the EEG parameter if the EEG parameter does not meet a preset parameter condition;

[0011] 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.

[0012] In an optional embodiment, the neural regulation module is an infrared stimulation module, and the stimulation signal is an infrared light regulation signal.

[0013] In an optional embodiment, the nanosensor also includes negatively charged nanoparticles, which cover the surface of the nanosensor. 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 regulation on the control brain area.

[0014] 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; 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.

[0015] 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, 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, and the three-dimensional fine-tuning platform is used to fine-tune the alignment of the optical fiber input end and the light spot.

[0016] In an optional embodiment, the neuroregulatory system further includes an imaging module, the imaging module being configured to acquire at least one brain region image of the regulated brain region and send each of the brain region images to the signal analysis module;

[0017] Correspondingly, the signal analysis module is specifically used to generate correction parameters based on the received feedback EEG signal and the images of each brain region.

[0018] In an optional embodiment, the imaging module includes an imaging transmitting unit and a receiving unit, wherein the imaging transmitting unit is used to transmit an imaging signal to the regulated brain area based on imaging parameters, and the receiving unit is used to generate a brain area image based on the received reflection signal.

[0019] In an optional embodiment, when the neural regulation module is an infrared stimulation module, the imaging module is an infrared imaging module, the imaging signal is an infrared light imaging signal, and the imaging emission unit is a second emitter, which is installed on the optical fiber probe in the infrared stimulation module;

[0020] Correspondingly, 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 emitter is used to transmit the infrared light imaging signal to the regulated brain area.

[0021] In an optional embodiment, the imaging parameters include imaging frequency and 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.

[0022] The technical solution of the embodiment of the present invention is to set a nanosensor and a signal analysis module in a 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 invention 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.

[0023] 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 invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 A schematic diagram of the structure of a neural regulation system provided by one embodiment of the present invention;

[0026] Figure 2 A schematic diagram of the structure of another neural regulation system provided by one embodiment of the present invention;

[0027] Figure 3 A schematic structural diagram of a specific example of a neural regulation system provided by one embodiment of the present invention;

[0028] Figure 4 A schematic diagram of the structure of another neural regulation system provided by one embodiment of the present invention;

[0029] Figure 5 A schematic diagram of the structure of another neural regulation system provided by one embodiment of the present invention;

[0030] Figure 6 The present invention provides a schematic structural diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0032] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention 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 numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes 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.

[0033] Figure 1This is a structural diagram of a neural regulation system provided by an embodiment of the present invention. This embodiment is applicable to the case of regulating the nervous system function of the brain area of ​​interest of the subject, and the system can be implemented in software and / or hardware.

[0034] 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 transmitting unit 122, and the signal transmitting 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 blood vessels; the signal analysis module 130 is used to generate correction parameters based on the received feedback EEG signal, and send the control parameters corrected based on the correction parameters to the neuroregulatory module 110.

[0035] Specifically, the neuromodulation module 110 represents a functional module that performs neuromodulation operations on the regulated brain region. Exemplarily, the neuromodulation module 110 includes, but is not limited to, a transcranial electrical stimulation module, a transcranial magnetic stimulation module, an ultrasound stimulation module, an optogenetics module, or an infrared stimulation module. The neuromodulation module 110 is not limited herein.

[0036] In an optional embodiment, when the neuroregulatory 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 range. When the neuroregulatory 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 range. When the neuroregulatory 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 range. When the neuroregulatory 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 range. There is no limitation on the specific control parameters here, and users can customize the settings according to actual needs.

[0037] Specifically, the nanosensor 120 is used to characterize sensors with nanometer-scale dimensions. In this embodiment, the detection unit 121 in the nanosensor 120 is used to collect feedback EEG signals from the regulated brain area during the neuromodulation process, and the signal transmission unit 122 is used to transmit the feedback EEG signals collected by the detection unit 121 to the signal analysis module 130.

[0038] In an alternative embodiment, nanosensor 120 is delivered to the regulated brain region via femoral artery puncture. The advantage of using nanosensor 120 is that this minimally invasive approach can both capture EEG feedback signals from deeper regulated brain regions, increasing the stimulation depth of the neuroregulatory system and broadening its application range, while also avoiding the invasive procedure of craniotomy and reducing the degree of trauma to the subject.

[0039] Specifically, 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 evoked EEG signals. The spontaneous EEG signal is used to characterize the potential changes spontaneously generated by the subject in the absence of external stimulation, and the evoked EEG signal is used to characterize the potential changes generated by the subject under external stimulation. Exemplarily, spontaneous EEG signals include but are not limited to sleep EEG signals, delta waves, beta waves, alpha waves, etc., and evoked 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, and event-related potential signals, etc.

[0040] Specifically, 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 an increase or decrease. For example, if the correction parameter includes -3, it represents a decrease of 3 units in the signal strength of the control parameter. When the control parameter includes stimulation position, the correction direction can represent the correction direction of the stimulation position, such as up, down, left, or right.

[0041] In an optional embodiment, the signal analysis module 130 is specifically 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.

[0042] For example, the EEG amplitude may be the maximum amplitude, minimum amplitude or average amplitude of the feedback EEG signal, and the EEG frequency may be the maximum frequency, minimum frequency or average frequency of the feedback EEG signal.

[0043] Specifically, 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. For example, the preset amplitude range is 5-200 μV, the preset frequency range is 1-30 Hz, and the similarity range is 50%-100%.

[0044] 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, during the process of neural regulation, the real-time EEG waveform of the regulated brain area will gradually approach the normal EEG waveform. Correspondingly, the similarity between the real-time EEG waveform and the normal EEG waveform will become greater and greater.

[0045] 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.

[0046] Specifically, when the number of EEG parameters is at least two, if at least one EEG parameter does not satisfy the corresponding preset parameter condition, a correction parameter is generated based on the EEG parameter.

[0047] Among them, illustratively, if the EEG amplitude is less than the minimum amplitude corresponding to the preset amplitude range, the correction direction of the correction intensity 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 intensity 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 intensity 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.

[0048] Among them, for example, 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 will be used as a correction parameter. For example, 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.

[0049] In an optional embodiment, the signal analysis module 130 is specifically used to: when the similarity between the current real-time EEG waveform and the original EEG waveform does not meet 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.

[0050] Specifically, 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 the 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.

[0051] 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.

[0052] The technical solution of this embodiment is to set a nanosensor and a signal analysis module in a neuroregulatory system. The neuroregulatory module in the neuroregulatory system is used to transmit a stimulation signal to the regulated brain area based on the control parameters sent by the signal analysis module, so as to perform neuroregulation 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 control parameter corrected based on the correction parameter to the neuroregulatory module. The embodiment of the present invention provides a neuroregulatory system with a feedback mechanism, which solves the problem that the existing neuroregulatory system relies on the experience of professionals and improves the control effect of the neuroregulatory system.

[0053] Figure 2 This is a schematic structural diagram of another neural regulation system provided by an embodiment of the present invention. This embodiment further refines the neural regulation system in the above embodiment.

[0054] like Figure 2 As shown, 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.

[0055] For example, the infrared wavelength band of the infrared light control signal can be the near-infrared band or the mid-infrared band. The frequency of mid-infrared light falls within the frequency range of chemical bond vibrations, producing a non-thermal effect on biological systems and reducing tissue damage caused by nerve stimulation.

[0056] 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 emitter, and the first emitter is used to transmit the infrared light control signal to the regulated brain area.

[0057] 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.

[0058] Specifically, 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.

[0059] 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 and the light spot.

[0060] Exemplarily, the fiber input end is fixed to the fiber coupler by a knob. Specifically, the fiber input end has a Brewster angle bevel, and when the polarization direction of the incident light is parallel to the incident plane, the coupling efficiency is optimal.

[0061] In an optional embodiment, the beam shaping unit can be placed 3 cm from the light source outlet. The advantage of this arrangement is that if the distance is too far, the high-frequency electromagnetic waves will be excessively attenuated in the air, while if the distance is too close, the effect of fine-tuning the three-dimensional fine-tuning platform will be less obvious.

[0062] Specifically, the 3D fine-tuning platform includes a fine-tuning frame with five adjustment modes: horizontal rotation, overall horizontal displacement, overall vertical displacement, coupler horizontal displacement, and coupler vertical displacement. Each dimension can be fine-tuned in 0.1mm increments. Specifically, the 3D fine-tuning platform can fine-tune the position of the lens and fiber holder, as well as their relative positions.

[0063] 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 and light intensity can be determined according to the control parameters.

[0064] Among them, the distance between the end of the fiber optic probe and the head can be within 20 cm to play the role of neural regulation.

[0065] Among them, by way of example, the optical fiber used in this embodiment can be a multimode 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.

[0066] Figure 3 This is a schematic diagram of a specific example of a neuromodulation system provided by one embodiment of the present invention. Specifically, the neuromodulation system includes an infrared stimulation module, a nanosensor 120, and a signal analysis module 130. The infrared stimulation module includes a frequency-adjustable high-frequency electromagnetic 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.

[0067] 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.

[0068] Specifically, 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.

[0069] The advantage of this setting is that the nanosensor 120 can not only collect and feedback EEG signals, but also perform neural control operations on the regulated brain areas, while improving the control effect and efficiency of the neural control system.

[0070] The technical solution of this embodiment is to set the neural control module 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, this embodiment covers the surface of the nanosensor with negatively charged nanoparticles, so that the nanosensor and the infrared stimulation module are efficiently combined, thereby further improving the control effect and control efficiency of the neural control system.

[0071] Figure 4 This is a schematic structural diagram of another neural regulation system provided by an embodiment of the present invention. This embodiment further refines the neural regulation system in the above embodiment.

[0072] like Figure 4 As shown, the neuroregulatory system also includes an imaging module 140, which is used to collect at least one brain area image of the regulated brain area and send each brain area image to the signal analysis module 130 respectively; accordingly, the signal analysis module 130 is specifically used to generate correction parameters based on the received feedback EEG signal and each brain area image.

[0073] Among them, exemplary, the imaging module 140 includes but is not limited to a direct digital radiography system (DR), a computed tomography (CT), a magnetic resonance imaging (MRI), a positron emission tomography (PET) or an ultrasound device, etc.

[0074] Specifically, EEG parameters are generated based on the feedback EEG signals, and control results are generated based on the 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.

[0075] Specifically, 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.

[0076] In an optional embodiment, the control result includes the control center position and / or the change trend of the region of interest. Specifically, the control center position can be used to represent the coordinates of the center position of the region of interest in the regulated brain region, and the change trend of the region of interest can be used to represent the change trend of the color or size of the region of interest in the regulated brain region. For example, the change trend of the region of interest is a lighter color or a smaller size.

[0077] In this embodiment, the preset control conditions include a preset distance range and / or a trend in which the ROI changes to lighter color or smaller size. Specifically, the preset distance range can be used to represent the distance range of the control center position relative to the current center position corresponding to the current control parameter, where the current control center position represents the position coordinates of the current control center. For example, the distance range can be [0-2 mm].

[0078] In one embodiment, specifically, 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.

[0079] In one embodiment, specifically, if the change trend of the region of interest does not meet the preset control condition, the correction direction of the last correction parameter is reversed to obtain an 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, last correction frequency, last correction wavelength, last correction coverage, and last correction position of the control parameter.

[0080] 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.

[0081] In one embodiment, if the EEG amplitude does not meet a preset amplitude range or the EEG frequency does not meet a 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. If the control center position does not meet a distance between the control center position and the current center position and does not meet a distance range, the correction position in the correction parameter is determined based on the control center position.

[0082] In one embodiment, when the similarity between the real-time EEG waveform and the normal EEG waveform does not satisfy 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. When the similarity between the real-time EEG waveform and the normal EEG waveform does not satisfy the similarity range, and the change trend of the region of interest does not meet the preset control conditions, the previous correction parameter is used as the current correction parameter, the correction direction in the previous correction parameter is reversely adjusted to obtain an 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.

[0083] 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 imaging signals to the regulated brain area based on imaging parameters, and the receiving unit is used to generate a brain area image based on the received reflection signal.

[0084] 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 emission unit is a second emitter, and the second emitter is installed on the fiber optic 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 emitter is used to emit the infrared light imaging signal to the regulated brain area.

[0085] Figure 5 This is a structural diagram of another neural regulation system provided by an embodiment of the present invention. Specifically, 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.

[0086] The advantage of this arrangement 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 not only reduces the space occupied by the neural regulation system, but also reduces 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.

[0087] 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.

[0088] The advantage of this setup is that terahertz waves are between the 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 and regulate 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, ensuring the image quality of brain images.

[0089] The technical solution of this embodiment is to set up an imaging module in the neural regulation system, the imaging module is used to collect at least one brain area image of the regulated brain area, and send each brain area image to the signal analysis module respectively. Correspondingly, the signal analysis module is specifically used to: generate correction parameters based on the received feedback EEG signals and each brain area image, thereby solving the problem of low accuracy of the correction parameters and further improving the regulation effect of the neural regulation system.

[0090] Figure 6 This is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. The electronic device 10 can be configured with the functional devices in the signal analysis module 130 in the embodiment of the present invention.

[0091] 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 assistants, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components, their connections and relationships, and their functions shown in the embodiments of the present invention are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0092] like Figure 6As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 and a random access memory (RAM) 13, that is communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor 11. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (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, ROM 12, and RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0093] Multiple 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 magnetic 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 via a computer network such as the Internet and / or various telecommunication networks.

[0094] The processor 11 can be any general-purpose and / or specialized processing component 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 specialized artificial intelligence (AI) computing chips, various processors that run 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 the method for performing signal analysis on feedback EEG signals and / or brain region images.

[0095] In some embodiments, the method for performing signal analysis on feedback EEG signals and / or brain region 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 XX 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 region images in any other appropriate manner (e.g., by means of firmware).

[0096] Various embodiments of the systems and techniques described herein can 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), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can 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, which can be a special purpose or general purpose programmable processor that can 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.

[0097] It should be understood that the various modules shown above can be used, reordered, added, or deleted. For example, the modules described in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0098] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A neural regulation system, characterized in that: include: Neural regulation module, nanosensor and signal analysis module; The neural regulation module is configured to transmit a stimulation signal to the regulated brain region based on the regulation parameters sent by the signal analysis module, so as to perform neural regulation on the regulated brain region; The nanosensor includes a detection unit and a signal transmitting unit, wherein the signal transmitting 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 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.

2. The neural regulation system according to claim 1, characterized in that The signal analysis module is specifically used to: generating an EEG parameter based on the feedback EEG signal, and generating a correction parameter based on the EEG parameter if the EEG parameter does not meet a preset parameter condition; 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.

3. The neural regulation system according to claim 1, characterized in that The neural regulation module is an infrared stimulation module, and the stimulation signal is an infrared light regulation signal.

4. The neural regulation system according to claim 3, characterized in that The nanosensor also includes negatively charged nanoparticles, which cover the surface of the nanosensor. 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 regulation on the control brain area.

5. The neural regulation system according to claim 3, characterized in that: 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. 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 pulse; The parameter receiver is used to receive the control parameters sent by the signal analysis module; 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 pulse; the optical fiber probe includes a first transmitter, which is used to transmit the infrared light control signal to the controlled brain area.

6. The neural regulation system according to claim 5, characterized in that: 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 and the light spot.

7. The neural regulation system according to claim 1, characterized in that The neuroregulatory system further includes an imaging module, which is configured to capture at least one brain region image of the regulated brain region and send each of the brain region images to the signal analysis module. Correspondingly, the signal analysis module is specifically used to generate correction parameters based on the received feedback EEG signal and the images of each brain region.

8. According to the neuroregulatory system according to claim 7, the imaging module includes an imaging transmitting unit and a receiving unit, the imaging transmitting unit is used to transmit imaging signals to the regulated brain area based on imaging parameters, and the receiving unit is used to generate a brain area image based on the received reflection signal.

9. The neural regulation system according to claim 8, characterized in that: When the neural regulation module is an infrared stimulation module, the imaging module is an infrared imaging module, the imaging signal is an infrared light imaging signal, and the imaging emission unit is a second emitter installed on the optical fiber probe in the infrared stimulation module; Correspondingly, 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 emitter is used to transmit the infrared light imaging signal to the regulated brain area.

10. The neural regulation system according to claim 9, characterized in that: The imaging parameters include imaging frequency and 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.

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