WO2024103445A1 - Système de neuromodulation - Google Patents

Système de neuromodulation Download PDF

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Publication number
WO2024103445A1
WO2024103445A1 PCT/CN2022/135409 CN2022135409W WO2024103445A1 WO 2024103445 A1 WO2024103445 A1 WO 2024103445A1 CN 2022135409 W CN2022135409 W CN 2022135409W WO 2024103445 A1 WO2024103445 A1 WO 2024103445A1
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signal
module
imaging
correction
eeg
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PCT/CN2022/135409
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English (en)
Chinese (zh)
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刘雪
王枫
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深圳先进技术研究院
中国科学院深圳理工大学(筹)
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Publication of WO2024103445A1 publication Critical patent/WO2024103445A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/25—Bioelectric electrodes therefor
    • A61B5/279—Bioelectric electrodes therefor specially adapted for particular uses
    • A61B5/291—Bioelectric electrodes therefor specially adapted for particular uses for electroencephalography [EEG]
    • A61B5/293—Invasive
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A61B5/375—Electroencephalography [EEG] using biofeedback
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00—Electrotherapy; Circuits therefor
    • A61N1/18—Applying electric currents by contact electrodes
    • A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N2/00—Magnetotherapy
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00—Radiation therapy
    • A61N5/06—Radiation therapy using light
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N7/00—Ultrasound therapy

Definitions

  • the present application relates to the field of medical device technology, for example, to a neural regulation system.
  • 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.
  • 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.
  • An embodiment of the present application provides a neural regulation system.
  • a neural regulation system comprising: a neural regulation module, a nanosensor and a signal analysis module;
  • 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.
  • 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.
  • 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.
  • 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.
  • the neuroregulatory module 110 is used to represent a functional module that performs neuroregulatory operations on the regulated brain area.
  • 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.
  • the stimulation signal 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.
  • the stimulation signal 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.
  • 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.
  • the stimulation signal is an optical signal
  • 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.
  • the nanosensor 120 is used to characterize a sensor whose size reaches the nanometer level.
  • 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.
  • 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.
  • 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.
  • the spontaneous EEG signal is used to characterize the potential changes spontaneously generated by the measured object in the absence of external stimulation
  • the induced EEG signal is used to characterize the potential changes generated by the measured object under external stimulation.
  • spontaneous EEG signals include but are not limited to sleep EEG signals, delta waves, beta waves, alpha waves, etc.
  • 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.
  • the correction parameter can be used to characterize the correction direction and correction amplitude of the control parameter.
  • 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.
  • the correction direction can represent the correction direction of the stimulation position, such as upward, downward, left or right, etc.
  • 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.
  • the EEG amplitude can be the maximum amplitude, minimum amplitude or average amplitude of the feedback EEG signal, etc.
  • the EEG frequency can be the maximum frequency, minimum frequency or average frequency of the feedback EEG signal, etc.
  • 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
  • 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.
  • the preset amplitude range is 5-200 ⁇ V
  • the preset frequency range is 1-30 Hz
  • 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.
  • 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.
  • 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.
  • correction amplitude b (EEG amplitude - maximum amplitude)
  • b represents the second preset weight.
  • a, b, c and d can be the same or different.
  • 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
  • the default correction position can be moved upward by 1 unit distance.
  • 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.
  • 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.
  • the adjusted corrected wavelength in the current correction parameter is a wavelength that is increased by 1 unit.
  • 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.
  • 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.
  • 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.
  • 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.
  • the light source is a frequency-adjustable high-frequency electromagnetic wave source.
  • the frequency-adjustable high-frequency electromagnetic wave source has a wavelength range of 5-11 ⁇ m, a maximum pulse width of 500 ns, and a maximum repetition frequency of 100 kHz.
  • 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.
  • 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.
  • the optical fiber input end is fixed on the optical fiber coupler by a knob.
  • 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.
  • the beam shaping unit can be arranged at a position of 3 cm from the light source outlet.
  • 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.
  • the three-dimensional fine-tuning platform can fine-tune the position of the lens and the fiber holder and their relative positions.
  • 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.
  • the distance between the end of the fiber optic probe and the head can be within 20 cm to play the function of neuroregulation.
  • the optical fiber used in this embodiment can be a multi-mode optical fiber with an inner diameter of 9-12 ⁇ m, an outer diameter of 170 ⁇ m, a numerical aperture of 0.3, and an effective band of 1.5 ⁇ m-9.5 ⁇ m.
  • 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.
  • 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.
  • 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.
  • thermosensitive ion channels are used to characterize ion channels that are sensitive to heat on neurons.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • DR Direct Digit Radiography
  • CT computed tomography
  • MRI Magnetic Resonance Imaging
  • PET positron emission computed tomography
  • an ultrasound device etc.
  • EEG parameters are generated based on feedback EEG signals, and control results are generated based on images of each brain region.
  • correction parameters are generated based on the EEG parameters and/or the control results.
  • correction parameters are generated based on the EEG parameters
  • control results do not meet the preset control conditions
  • correction parameters are generated based on the control results
  • 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.
  • control result includes the control center position and/or the change trend of the region of interest.
  • control center position can be used to characterize the center position coordinates of the region of interest in the regulated brain area
  • 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.
  • the change trend of the region of interest is a lighter color or a smaller size.
  • 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.
  • 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.
  • the distance range can be [0 2mm].
  • the distance between the control center position and the current center position does not meet the distance range
  • 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
  • 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.
  • 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.
  • correction parameters are generated based on the EEG parameters and the control results.
  • 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.
  • the correction position in the correction parameter is determined based on the control center position.
  • the previous correction parameter 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.
  • 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.
  • 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
  • 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.
  • 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 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.
  • the imaging parameters include an imaging frequency and an imaging wavelength.
  • the imaging frequency corresponds to a frequency range of 0.1-10 THz
  • the imaging wavelength corresponds to a wavelength range of 0.03-3 mm.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • FPGAs field programmable gate arrays
  • ASICs application specific integrated circuits
  • ASSPs application specific standard products
  • SOCs systems on chips
  • CPLDs complex programmable logic devices
  • 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.
  • a programmable processor 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.
  • 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.

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  • Psychiatry (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

La présente invention concerne un système de neuromodulation, comprenant : un module de neuromodulation (110), un nanocapteur (120) et un module d'analyse de signal (130), le module de neuromodulation (110) étant conçu pour transmettre un signal de stimulation à une région cérébrale de modulation sur la base d'un paramètre de modulation envoyé par le module d'analyse de signal (130), de façon à effectuer une neuromodulation de la région cérébrale de modulation ; le nanocapteur (120) comprend une unité de sondage (121) et une unité de transmission de signal (122), et l'unité de transmission de signal (122) est conçue pour envoyer un signal électroencéphalographique de rétroaction collecté par l'unité de sondage (121) au module d'analyse de signal (130) ; le nanocapteur (120) étant placé dans la région cérébrale de modulation au moyen d'un vaisseau sanguin ; le module d'analyse de signal (130) est conçu pour générer un paramètre de correction sur la base du signal électroencéphalographique de rétroaction reçu et envoyer le paramètre de modulation corrigé sur la base du paramètre de correction au module de neuromodulation (110). En fournissant le système de neuromodulation ayant un mécanisme de rétroaction, le problème selon lequel des systèmes de neuromodulation existants dépendent de l'expérience des professionnels est résolu, et l'effet de modulation du système de neuromodulation est amélioré.
PCT/CN2022/135409 2022-11-18 2022-11-30 Système de neuromodulation WO2024103445A1 (fr)

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