Brain-computer interface device control method, system, and brain-computer interface device

Abstract

The application provides a brain-computer interface device control method and system and a brain-computer interface device, and relates to the field of brain-computer interface control.The power supply unit in the brain-computer interface device converts the periodic vibration deformation corresponding to the heartbeat or respiration of a target user into electric energy through the piezoelectric ceramic arranged therein, thereby realizing self-powered supply of the brain-computer interface device.In addition, the brain-computer interface device can perform multi-channel synchronous acquisition on the brain signals of the target user through the ultrasonic transducer array contained therein, and can accurately extract and feed back the brain signals of the deep brain region, thereby solving the problems of low safety, poor power supply convenience and insufficient signal accuracy of the existing brain-computer interface device.

Description

Technical Field

[0001] This invention relates to the field of brain-computer interface control, and in particular to a brain-computer interface device control method, system, and brain-computer interface device. Background Technology

[0002] Brain-computer interfaces (BCIs) serve as a bridge for communication between the brain and external devices, enabling interaction between the brain and external devices and providing feedback on the interaction results back to the brain. Existing BCIs are divided into invasive and non-invasive types: Invasive BCIs require implanting tiny electrodes into brain tissue to acquire neural signals. While this method offers high signal accuracy, it suffers from low safety and high risks. Non-invasive BCIs, although highly safe, experience signal attenuation due to the influence of the skull and scalp, resulting in lower signal accuracy.

[0003] Existing non-invasive brain-computer interfaces mostly use wired power supply or direct lithium battery power supply. Wired power supply can affect user activity and has poor portability. Although direct lithium battery power supply avoids the constraints of wires, for brain-computer interface devices that need to work for a long time, the lithium battery needs to be charged or replaced regularly to make up for power consumption, which affects the user experience.

[0004] Existing brain-computer interface devices mostly use a single sensor, which has a limited signal coverage range and makes it difficult to achieve synchronous signal acquisition from multiple brain regions. In addition, existing brain-computer interface devices lack signal focusing methods, making it difficult to obtain reflected signals from deep brain regions, resulting in low accuracy in brain signal acquisition and feedback. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a control method, system, and brain-computer interface device. The power supply unit of the brain-computer interface device converts the periodic vibration deformation corresponding to the heartbeat or breathing of the target user into electrical energy through the piezoelectric ceramic deployed therein, thereby realizing the self-powering of the brain-computer interface device. In addition, the brain-computer interface device performs multi-channel synchronous acquisition of brain signals of the target user through its included ultrasonic transducer array, and can accurately extract and feedback brain signals from deep brain regions, thereby solving various problems existing in the safety, power supply convenience, and signal accuracy of the existing brain-computer interface devices.

[0006] In a first aspect, embodiments of the present invention provide a control method for a brain-computer interface device, the brain-computer interface device including a power supply unit and an ultrasonic transducer array; the method includes:

[0007] After collecting periodic vibration data of the target user by the piezoelectric ceramic deployed in the power supply unit, the periodic vibration data is used to control the piezoelectric ceramic to generate the corresponding output power of the power supply unit, and the power supply unit is controlled to transmit the output power to the ultrasonic transducer array based on the power supply strategy parameters of the brain-computer interface device.

[0008] The brain-computer interface device is used to collect parameters to control an ultrasonic transducer array to collect ultrasound signals from the target user's brain. The brain ultrasound signals are used to obtain brain feature data of the target user. The brain feature data is then used to control the brain-computer interface device to generate corresponding operation control commands for the target user.

[0009] The focusing control parameters of the brain-computer interface device are used to determine the ultrasonic modulation command corresponding to the ultrasonic transducer array. The ultrasonic modulation command is then used to control the brain-computer interface device to generate a focusing control command that acts on the target user.

[0010] Optionally, after collecting periodic vibration data of the target user through piezoelectric ceramics deployed in the power supply unit, the periodic vibration data is used to control the piezoelectric ceramics to generate the corresponding output electrical energy of the power supply unit, including:

[0011] The lead zirconate titanate piezoelectric ceramic deployed in the power supply unit is obtained; wherein the lead zirconate titanate piezoelectric ceramic is attached to the vibration area of ​​the target user's body surface; the substrate plane of the lead zirconate titanate piezoelectric ceramic is a copper sheet electrode, and the parallel plane of the substrate plane in the lead zirconate titanate piezoelectric ceramic is a silver paste electrode.

[0012] Periodic vibration data generated in the vibration area of ​​the body surface is collected by lead zirconate titanate piezoelectric ceramics. The mechanical deformation value generated by the lead zirconate titanate piezoelectric ceramics is calculated using the periodic vibration data. The pressure value applied to the lead zirconate titanate piezoelectric ceramics in the vibration area of ​​the body surface is determined by the mechanical deformation value.

[0013] The AC voltage value generated between the copper sheet electrode and the silver paste electrode is obtained by using the pressure value. The AC voltage value is then controlled to be input sequentially into the rectifier circuit and filter circuit deployed in the power supply unit to obtain the DC voltage value corresponding to the AC voltage value.

[0014] The output power of the power supply unit is determined based on the DC voltage value.

[0015] Optionally, the power supply strategy parameters of the brain-computer interface device control the power supply unit to transmit output electrical energy to the ultrasonic transducer array, including:

[0016] The power supply strategy parameters for the brain-computer interface device are determined by the power consumption parameters, working time, charging voltage, and working voltage of the brain-computer interface device.

[0017] Obtain the energy storage capacitors deployed in the power supply unit, and use the power supply strategy parameters to determine the corresponding power input and power output commands for the energy storage capacitors;

[0018] After the power supply unit stores the output power into the energy storage capacitor based on the power input command, the power supply unit transmits the output power in the energy storage capacitor to the ultrasonic transducer array based on the power output command.

[0019] Optionally, the brain-computer interface device can be used to acquire parameters to control an ultrasonic transducer array to acquire ultrasound signals from the target user's brain, including:

[0020] Acquire the command acquisition parameters corresponding to the brain-computer interface device, and use the command acquisition parameters to determine the pulse transmission command and signal reception command corresponding to the ultrasonic transducer array;

[0021] The ultrasonic transducer array is controlled by pulse transmission commands to transmit ultrasonic pulses to the brain region of the target user.

[0022] The signal receiving command is used to control the ultrasonic transducer array to receive the reflected, refracted, and scattered signals corresponding to the response of the brain region to the ultrasonic pulse;

[0023] The target user's brain ultrasound signal is determined based on reflected, refracted, and scattered signals.

[0024] Optionally, brain feature data of the target user can be obtained using brain ultrasound signals, including:

[0025] The target amplitude and signal-to-noise ratio threshold of the brain ultrasound signal are determined based on the command acquisition parameters.

[0026] The power amplification strategy for brain ultrasound signals is determined by using the target amplitude, and the noise reduction strategy for brain ultrasound signals is determined by using the signal-to-noise ratio threshold.

[0027] After amplifying and denoising the brain ultrasound signal using power amplification and noise reduction strategies, the echo signal curve corresponding to the brain ultrasound signal is obtained.

[0028] The excitement characteristics of the target user are calculated based on the peak amplitude and rate of change of the echo signal curve.

[0029] The acquisition time corresponding to the ultrasonic transducer array at the preset propagation distance is obtained based on the echo signal curve, and the temperature characteristic data of the target user is calculated based on the acquisition time.

[0030] The propagation speed of the brain ultrasound signal is obtained from the echo signal curve, and the density characteristic data of the target user is calculated based on the propagation speed.

[0031] Brain feature data of the target user are determined by excitation feature data, temperature feature data, and density feature data.

[0032] Optionally, the brain-computer interface device can be controlled to generate operation control commands corresponding to the target user based on brain feature data, including:

[0033] The database associated with the ultrasonic transducer array in the brain-computer interface device is obtained; wherein the database is constructed by brain signal data collected after the target user executes a preset action command;

[0034] Use a database to obtain the classification results of action commands corresponding to brain feature data;

[0035] Based on the classification results of action commands, the brain-computer interface device generates operation control commands corresponding to the target user.

[0036] Optionally, the step of determining the ultrasound modulation command corresponding to the ultrasound transducer array using the focusing control parameters of the brain-computer interface device, and controlling the brain-computer interface device to generate a focusing control command acting on the target user through the ultrasound modulation command, includes:

[0037] Obtain the first focusing control parameters corresponding to the brain-computer interface device, and use the first focusing control parameters to determine the first target brain region of the target user;

[0038] The phase delay of the ultrasonic transducer is determined based on the distance between each ultrasonic transducer in the ultrasonic transducer array and the first target area of ​​the brain. The phase adjustment command corresponding to the ultrasonic transducer array is then determined based on the phase delay.

[0039] The phase adjustment command controls the ultrasonic transducer array to generate a focusing control command that acts on the first target area of ​​the brain; wherein, the focusing control command is used to control the ultrasonic transducer array to emit a focused ultrasonic beam toward the target area of ​​the brain.

[0040] Optionally, the step of determining the ultrasound modulation command corresponding to the ultrasound transducer array using the focusing control parameters of the brain-computer interface device, and controlling the brain-computer interface device to generate a focusing control command acting on the target user through the ultrasound modulation command, includes:

[0041] The second focusing control parameters corresponding to the brain-computer interface device are obtained, and the second focusing control parameters are used to determine the second target brain region of the target user.

[0042] The target value of focusing intensity, focusing efficiency, and focal spot area corresponding to the second brain target region are determined based on the second focusing control parameters.

[0043] The power adjustment command corresponding to the ultrasonic transducer array is determined by using the target value of focusing intensity, focusing efficiency, and focal spot area.

[0044] The power adjustment command controls the ultrasonic transducer array to generate a focusing control command that acts on the second target area of ​​the brain; wherein, the focusing control command is used to control the focused ultrasonic beam emitted by the ultrasonic transducer array toward the second target area of ​​the brain to reach the target value of focusing intensity.

[0045] In a second aspect, the present invention provides a control system for a brain-computer interface device, the brain-computer interface device including a power supply unit and an ultrasonic transducer array; the control system for the brain-computer interface device includes:

[0046] The power supply control module is used to: collect periodic vibration data of the target user through the piezoelectric ceramic deployed in the power supply unit, use the periodic vibration data to control the piezoelectric ceramic to generate the output power corresponding to the power supply unit, and control the power supply unit to transmit the output power to the ultrasonic transducer array based on the power supply strategy parameters of the brain-computer interface device.

[0047] The operation control module is used to control the ultrasonic transducer array to collect the target user's brain ultrasonic signals using the command acquisition parameters of the brain-computer interface device, obtain the target user's brain feature data using the brain ultrasonic signals, and control the brain-computer interface device to generate operation control commands corresponding to the target user through the brain feature data.

[0048] The focusing control module is used to determine the ultrasonic modulation command corresponding to the ultrasonic transducer array using the focusing control parameters of the brain-computer interface device, and to control the brain-computer interface device to generate focusing control commands that act on the target user through the ultrasonic modulation commands.

[0049] Thirdly, embodiments of the present invention provide a brain-computer interface device, which includes a power supply unit and an ultrasonic transducer array; the brain-computer interface device employs the steps of the brain-computer interface device control method provided in the first aspect during brain-computer interaction with a target user.

[0050] Fourthly, embodiments of the present invention provide an electronic device including a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the steps of the brain-computer interface device control method provided in the first aspect.

[0051] This invention provides a brain-computer interface (BCI) device control method, system, and BCI device. The BCI device includes a power supply unit and an ultrasonic transducer array. During brain-computer interface control, firstly, the piezoelectric ceramic deployed in the power supply unit collects periodic vibration data of the target user. The periodic vibration data is then used to control the piezoelectric ceramic to generate output power corresponding to the power supply unit. Based on the power supply strategy parameters of the BCI device, the power supply unit transmits the output power to the ultrasonic transducer array. Next, the command acquisition parameters of the BCI device control the ultrasonic transducer array to collect ultrasonic signals from the target user's brain. The ultrasonic signals are used to obtain brain feature data of the target user. This brain feature data is then used to control the BCI device to generate operation control commands corresponding to the target user. Finally, the focusing control parameters of the BCI device determine the ultrasonic modulation commands corresponding to the ultrasonic transducer array. These ultrasonic modulation commands are then used to control the BCI device to generate focusing control commands acting on the target user. The power supply unit in this brain-computer interface device converts the periodic vibration deformation corresponding to the target user's heartbeat or breathing into electrical energy through its deployed piezoelectric ceramics, thus realizing the self-powered power supply of the brain-computer interface device. In addition, the brain-computer interface device performs multi-channel synchronous acquisition of the target user's brain signals through its included ultrasonic transducer array, and can accurately extract and feedback brain signals from deep brain regions.

[0052] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0053] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0054] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0055] Figure 1 A flowchart illustrating a brain-computer interface device control method provided in an embodiment of the present invention;

[0056] Figure 2In step S101 of a brain-computer interface device control method provided in an embodiment of the present invention, a flowchart is provided showing how the piezoelectric ceramic deployed in the power supply unit collects periodic vibration data of the target user and then uses the periodic vibration data to control the piezoelectric ceramic to generate the output power corresponding to the power supply unit.

[0057] Figure 3 In step S101 of the brain-computer interface device control method provided in this embodiment of the invention, there is a flowchart of controlling the power supply unit to transmit output electrical energy to the ultrasonic transducer array based on the power supply strategy parameters of the brain-computer interface device.

[0058] Figure 4 In step S102 of the brain-computer interface device control method provided in this embodiment of the invention, a flowchart is shown below, which describes the process of controlling the ultrasonic transducer array to acquire the target user's brain ultrasonic signal using the instruction acquisition parameters of the brain-computer interface device.

[0059] Figure 5 The flowchart of step S102 of the brain-computer interface device control method provided in the embodiment of the present invention is as follows: acquiring brain feature data of the target user using brain ultrasound signals.

[0060] Figure 6 In step S102 of the brain-computer interface device control method provided in this embodiment of the invention, there is a flowchart of the process of controlling the brain-computer interface device to generate operation control instructions corresponding to the target user through brain feature data.

[0061] Figure 7 A flowchart of step S103 in a brain-computer interface device control method provided in an embodiment of the present invention;

[0062] Figure 8 A flowchart of step S103 in another brain-computer interface device control method provided in an embodiment of the present invention;

[0063] Figure 9 This is a schematic diagram of the structure of the brain-computer interface device control system provided in an embodiment of the present invention;

[0064] Figure 10 This is a schematic diagram of the structure of a brain-computer interface device provided in an embodiment of the present invention;

[0065] Figure 11 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0066] icon:

[0067] 910 - Power supply control module; 920 - Operation control module; 930 - Focus control command;

[0068] 110 - Power supply unit; 120 - Ultrasonic transducer array;

[0069] 101 - Processor; 102 - Memory; 103 - Bus; 104 - Communication interface. Detailed Implementation

[0070] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0071] To facilitate understanding of this embodiment, a control method for a brain-computer interface device disclosed in this invention will first be described. This brain-computer interface device includes a power supply unit and an ultrasonic transducer array; as follows... Figure 1 As shown, the method includes:

[0072] Step S101: After collecting periodic vibration data of the target user through the piezoelectric ceramic deployed in the power supply unit, the periodic vibration data is used to control the piezoelectric ceramic to generate the output power corresponding to the power supply unit, and the power supply unit is controlled to transmit the output power to the ultrasonic transducer array based on the power supply strategy parameters of the brain-computer interface device.

[0073] To address the issues of inconvenience caused by wired power supply and the need for periodic charging and replacement of lithium batteries in existing non-invasive brain-computer interfaces, this method first collects periodic vibration data generated by the target user's heartbeat or breathing through piezoelectric ceramics deployed in the power supply unit. Then, this periodic vibration data is used to drive the piezoelectric ceramics to convert mechanical energy into electrical energy, generating the corresponding output electrical energy of the power supply unit. Finally, based on the preset power supply strategy parameters of the brain-computer interface device, the power transmission process of the power supply unit is rationally controlled to stably transmit the converted output electrical energy to the ultrasonic transducer array, providing continuous power support for subsequent brain signal acquisition.

[0074] Step S102: Use the command acquisition parameters of the brain-computer interface device to control the ultrasonic transducer array to acquire the target user's brain ultrasound signal, use the brain ultrasound signal to obtain the target user's brain feature data, and use the brain feature data to control the brain-computer interface device to generate the corresponding operation control command for the target user.

[0075] To address the limitations of existing brain-computer interfaces (BCIs) in terms of limited coverage and accuracy due to single sensor signals, this paper utilizes preset command acquisition parameters of the BCI device to control an ultrasonic transducer array to synchronously acquire ultrasonic signals from the target user's brain. This array-based structure enables simultaneous capture of signals from multiple brain regions. The acquired ultrasonic signals are then preliminarily analyzed to extract brain feature data reflecting the target user's brain activity. Finally, based on this brain feature data, the BCI device generates operational control commands that match the target user's intentions, achieving effective interaction between the brain and external devices.

[0076] Step S103: Determine the ultrasonic modulation command corresponding to the ultrasonic transducer array using the focusing control parameters of the brain-computer interface device, and control the brain-computer interface device to generate a focusing control command that acts on the target user through the ultrasonic modulation command.

[0077] To address the shortcomings of existing brain-computer interfaces (BCIs) in lacking signal focusing methods and being unable to acquire deep brain signals, this study first utilizes the preset focusing control parameters of the BCI device to calculate and determine the ultrasonic adjustment commands corresponding to the ultrasonic transducer array, clarifying the adjustment standards for the working state of each component of the array. Subsequently, through these ultrasonic adjustment commands, the BCI device is controlled to generate focusing control commands that can be directly applied to the target user, achieving precise focusing and extraction of signals from deep brain regions, and further improving the accuracy of brain signal acquisition and feedback.

[0078] Optionally, after collecting periodic vibration data of the target user through piezoelectric ceramics deployed in the power supply unit, the periodic vibration data is used to control the piezoelectric ceramics to generate the corresponding output electrical energy of the power supply unit, such as... Figure 2 As shown, it includes:

[0079] Step S201: Obtain the lead zirconate titanate piezoelectric ceramic deployed in the power supply unit; wherein, the lead zirconate titanate piezoelectric ceramic is attached to the vibration area of ​​the target user's body surface; the substrate plane of the lead zirconate titanate piezoelectric ceramic is a copper sheet electrode, and the parallel plane of the substrate plane in the lead zirconate titanate piezoelectric ceramic is a silver paste electrode.

[0080] First, the lead zirconate titanate piezoelectric ceramic (PZT piezoelectric ceramic) deployed in the power supply unit is acquired. This ceramic is the core component for power conversion and is attached to the vibration area of ​​the target user's body surface (such as the chest cavity, neck, and other areas where heartbeat and breathing vibrations are obvious) to accurately collect physiological vibration signals. The substrate plane of the lead zirconate titanate piezoelectric ceramic uses a copper sheet electrode, and the other surface parallel to the substrate plane is coated with silver paste to form a silver paste electrode. The dual-electrode structure provides the structural basis for the subsequent conversion of vibration signals into electrical energy.

[0081] Step S202: Collect periodic vibration data generated in the vibration area of ​​the body surface using lead zirconate titanate piezoelectric ceramic, calculate the mechanical deformation value generated by lead zirconate titanate piezoelectric ceramic using the periodic vibration data, and determine the pressure value applied to the lead zirconate titanate piezoelectric ceramic in the vibration area of ​​the body surface using the mechanical deformation value.

[0082] By attaching a lead zirconate titanate piezoelectric ceramic to the vibration area of ​​the body surface, periodic vibration data generated by heartbeat and respiration are collected in real time. Then, based on the collected vibration data, the mechanical deformation value generated by the lead zirconate titanate piezoelectric ceramic under vibration is calculated. The pressure value applied to the piezoelectric ceramic in the vibration area of ​​the body surface is further quantified and determined by the mechanical deformation value, thus completing the conversion of vibration signal into physical parameters.

[0083] Step S203: Obtain the AC voltage value generated between the copper sheet electrode and the silver paste electrode using the pressure value, and control the AC voltage value to be sequentially input into the rectifier circuit and filter circuit deployed in the power supply unit to obtain the DC voltage value corresponding to the AC voltage value.

[0084] Based on the calculated pressure value, the AC voltage generated between the copper electrode and the silver paste electrode is obtained using the piezoelectric effect of the piezoelectric ceramic. Specifically, the AC voltage value can be calculated using the following formula. .

[0085] ;

[0086] in, This refers to the pressure value applied in the lead zirconate titanate piezoelectric ceramic. is the piezoelectric strain constant of lead zirconate titanate piezoelectric ceramic in the polarization direction. The thickness of the lead zirconate titanate piezoelectric ceramic. This represents the electrode area of ​​the lead zirconate titanate piezoelectric ceramic. is the dielectric constant of lead zirconate titanate piezoelectric ceramic under constant strain in the polarization direction.

[0087] The above formula initially converts the mechanical energy generated in the target user's body surface due to heartbeat, respiration, etc., into electrical energy. However, the electrical energy generated by the lead zirconate titanate piezoelectric ceramic is alternating current (AC). To meet the stable power supply requirements of the brain-computer interface device, the generated AC voltage value is sequentially input to the preset rectifier circuit and filter circuit of the power supply unit. The rectifier circuit converts the AC power into direct current (DC power), and the filter circuit removes voltage fluctuation interference, finally obtaining a stable DC voltage value (e.g., 3.3V).

[0088] Step S204: Determine the output power of the power supply unit based on the DC voltage value.

[0089] Based on the power consumption requirements of each component of the brain-computer interface device (especially the ultrasonic transducer array), the DC voltage value obtained in step S203 is adapted and adjusted to determine the output power of the power supply unit, ensuring that the output power remains stable and efficient to provide power support for the entire brain-computer interface device, thus achieving the core goal of self-powered operation.

[0090] Optionally, the power supply strategy parameters of the brain-computer interface device control the power supply unit to transmit output electrical energy to the ultrasonic transducer array, such as... Figure 3 As shown, it includes:

[0091] Step S301: Determine the power supply strategy parameters corresponding to the brain-computer interface device by using the power consumption parameters, working time, charging voltage, and working voltage of the brain-computer interface device.

[0092] To achieve precise control of the power output from the power supply unit and ensure its compatibility with the operational requirements of each component, especially the stable operation of the ultrasonic transducer array, the overall power consumption parameters of the brain-computer interface device are first considered (with particular attention to the operating power consumption of the ultrasonic transducer array). Continuous working time Maximum charging voltage and minimum operating voltage Through parameter adaptation calculations, the power supply strategy parameters corresponding to the brain-computer interface device are determined, providing a clear basis for subsequent energy storage and transmission control.

[0093] Step S302: Obtain the energy storage capacitors deployed in the power supply unit, and use the power supply strategy parameters to determine the energy input command and energy output command corresponding to the energy storage capacitors.

[0094] The pre-deployed energy storage capacitors in the power supply unit (whose core function is to stabilize the power supply and avoid voltage fluctuations affecting the operation of the components) are obtained. Then, in combination with the power supply strategy parameters determined in step S301, the capacity, charging and discharging efficiency of the energy storage capacitors and the instantaneous power consumption requirements of the ultrasonic transducer array are comprehensively considered to determine the corresponding power input command (clarifying the rate of power storage and the capacity threshold) and power output command (clarifying the rate of power transmission and the voltage standard) for the energy storage capacitors.

[0095] Capacity of energy storage capacitor Specifically, it is set using the following formula:

[0096] ;

[0097] This ensures that a continuous power supply can still be provided even when the target user's heartbeat is weak during sleep.

[0098] Step S303: After the power supply unit stores the output power into the energy storage capacitor based on the power input command, the power supply unit transmits the output power in the energy storage capacitor to the ultrasonic transducer array based on the power output command.

[0099] First, based on the determined power input command, the control power supply unit smoothly stores the adapted and adjusted output power (adapted to the power consumption requirements of each component) into the energy storage capacitor, ensuring that the energy storage capacitor reaches the preset energy storage standard. After the energy storage is completed, based on the power output command, the control power supply unit accurately transmits the stable power stored in the energy storage capacitor to the ultrasonic transducer array, while also taking into account the basic power supply of other components of the device, ensuring the stable and efficient operation of the ultrasonic transducer array and the entire device.

[0100] Optionally, the brain-computer interface device can be used to collect parameters to control an ultrasonic transducer array to collect ultrasound signals from the target user's brain, such as... Figure 4 As shown, it includes:

[0101] Step S401: Obtain the command acquisition parameters corresponding to the brain-computer interface device, and use the command acquisition parameters to determine the pulse transmission command and signal reception command corresponding to the ultrasonic transducer array.

[0102] First, the preset command acquisition parameters of the brain-computer interface device (including core parameters such as ultrasonic transmission frequency, signal reception sensitivity, and acquisition duration) are obtained. Based on these command acquisition parameters and considering the working characteristics of the ultrasonic transducer array, the corresponding pulse transmission command (clarifying the transmission intensity, frequency, and timing of the ultrasonic pulse) and signal reception command (clarifying the signal reception time window and filtering standard) are determined, providing a precise control basis for subsequent ultrasonic transmission and signal reception.

[0103] In practical scenarios, the ultrasonic transducer array is mainly composed of N×M micro MEMS ultrasonic transducers. This ultrasonic transducer array is embedded in a head-mounted device (such as a helmet) in a two-dimensional array layout, which is convenient for the target user to wear and can cover all areas inside the helmet, enabling accurate acquisition of multiple areas and multiple physical quantities of the brain.

[0104] Step S402: Control the ultrasonic transducer array to emit ultrasonic pulses toward the brain region of the target user via pulse emission command.

[0105] With a stable power supply from the power supply unit, the pulse transmission command determined in step S401 is transmitted to the ultrasonic transducer array. This command precisely controls the coordinated operation of each transducer in the array to directionally transmit ultrasonic pulses that meet preset parameters to the brain region of the target user, ensuring that the pulses can effectively penetrate the surface of the skull and cover the brain region to be collected.

[0106] The frequency of the ultrasonic pulse can be set to 1-5MHz. The main purpose of selecting this frequency range is to ensure that the ultrasonic waves can penetrate the skull while having high spatial resolution. The pulse width of the ultrasonic pulse can be set to 100ns and the repetition frequency to 1kHz to ensure that the ultrasonic transducer array has enough response time to receive the reflected signal.

[0107] Step S403: Use signal receiving instructions to control the ultrasonic transducer array to receive the reflected, refracted, and scattered signals corresponding to the response of the brain region to the ultrasonic pulse.

[0108] After passing through the scalp and skull, the ultrasound pulses enter the target user's brain. Upon interaction with brain tissue, the ultrasound pulse signals generate reflection, refraction, and scattering signals. Specifically, by invoking the signal receiving command determined in step S401, the ultrasound transducer array is controlled to enter signal receiving mode, accurately capturing various signals generated by the brain regions in response to the ultrasound pulses, including reflected, refracted, and scattered signals. These signals carry the activity characteristics of different brain regions, providing raw data for subsequent extraction of brain feature data.

[0109] Step S404: Determine the target user's brain ultrasound signal based on the reflected signal, refracted signal, and scattered signal.

[0110] The reflected, refracted, and scattered signals received by the ultrasonic transducer array are initially screened and integrated to eliminate environmental interference and invalid signals, retaining the valid signals that can truly reflect the brain activity state. Finally, the target user's brain ultrasound signal is determined based on these valid signals, laying the foundation for subsequent extraction of brain feature data and generation of operation control commands.

[0111] Optionally, brain feature data of the target user can be obtained using brain ultrasound signals, such as... Figure 5 As shown, it includes:

[0112] Step S501: Determine the target amplitude and signal-to-noise ratio threshold corresponding to the brain ultrasound signal based on the command acquisition parameters.

[0113] Because the amplitude of brain ultrasound signals is relatively small, typically only in the μV range, it is necessary to perform methods and noise reduction processing. First, the established brain-computer interface device command acquisition parameters are retrieved. Based on the preset standards of these parameters, the target amplitude (to ensure that the signal strength meets the requirements for feature extraction) and the signal-to-noise ratio threshold (to distinguish between effective signals and residual interference signals) of the brain ultrasound signal are determined, thus setting the qualification standards for subsequent signal processing and feature extraction.

[0114] Step S502: Determine the power amplification strategy for the brain ultrasound signal using the target amplitude, and determine the noise reduction strategy for the brain ultrasound signal using the signal-to-noise ratio threshold.

[0115] Based on the target amplitude determined in step S501, and combined with the actual amplitude of the current brain ultrasound signal, an appropriate power amplification strategy is formulated to ensure that the amplified signal reaches the target amplitude without distortion. At the same time, based on the signal-to-noise ratio threshold, a targeted noise reduction strategy is determined to further eliminate residual environmental interference and invalid noise in the signal and ensure signal purity.

[0116] Step S503: After amplifying and denoising the brain ultrasound signal using a power amplification strategy and a noise reduction strategy, the echo signal curve corresponding to the brain ultrasound signal is obtained.

[0117] Following the established power amplification and noise reduction strategies, the screened brain ultrasound signals were sequentially amplified and denoised to eliminate the effects of signal attenuation and interference. This resulted in clear, characteristic echo signal curves corresponding to the brain ultrasound signals, providing a reliable basis for subsequent feature parameter calculations. Specifically, the echo signal curves are as follows:

[0118] ;

[0119] in, for The echo signal curve at time t, The number of scattering points in the target user's brain region. For the first The reflection coefficient corresponding to each scattering point This refers to the original ultrasonic pulse signal emitted, i.e., the initial ultrasonic time-domain waveform emitted towards the brain. The time independent variable of the echo signal curve, The center frequency of the emitted ultrasonic wave. For the first The propagation delay corresponding to each scattering point For the first Each scattering point corresponds to a displacement. This refers to the speed at which ultrasound waves travel in the brain region.

[0120] Step S504: Calculate the target user's excitement characteristic data based on the peak amplitude and rate of change of the echo signal curve.

[0121] The processed echo signal curve is analyzed to extract the peak amplitude and its rate of change. The peak amplitude and rate of change are related to the intensity of brain neural activity. Based on this, a preset algorithm is used to calculate excitability characteristic data that characterizes the target user's brain neural activity state. Specifically, the excitability characteristic is reflected in the changes in the peak amplitude and rate of change of the signal; the larger the peak amplitude and the higher the rate of change of the echo signal curve, the higher the excitability of the corresponding brain region.

[0122] Step S505: Obtain the acquisition duration corresponding to the ultrasonic transducer array at the preset propagation distance based on the echo signal curve, and calculate the temperature characteristic data of the target user based on the acquisition duration.

[0123] From the echo signal curve, extract the corresponding acquisition time of the signal received by the ultrasonic transducer array at a preset propagation distance (i.e., the propagation path length of ultrasound in a specific area of ​​the brain); combine the propagation characteristics of ultrasound, and calculate the correlation between acquisition time and propagation distance to obtain the brain temperature characteristic data of the target user (temperature affects the propagation time of ultrasound).

[0124] Specifically, temperature characteristics are reflected in the propagation time of ultrasound waves. Changes in temperature cause variations in ultrasound propagation time. By measuring the time difference between the sensor's transmission and reception of signals, the temperature value corresponding to the brain region can be calculated. This data is used as a characteristic of brain temperature. The calculation process can be referenced in the following formula:

[0125] ;

[0126] in, This represents the initial temperature value corresponding to the brain region. The distance from which ultrasound waves can travel. The temperature coefficient of sound velocity corresponding to the brain region. This represents the acquisition duration corresponding to the ultrasonic transducer array. This represents the speed at which ultrasound waves travel through the brain region.

[0127] Step S506: Obtain the propagation speed corresponding to the brain ultrasound signal based on the echo signal curve, and calculate the density characteristic data of the target user based on the propagation speed.

[0128] Also based on the echo signal curve, the propagation speed of ultrasound signals in brain tissue is accurately obtained; since the propagation speed of ultrasound is positively correlated with the density of brain tissue, the brain tissue density characteristic data of the target user can be calculated by using the specific value of the propagation speed.

[0129] Density characteristics are manifested in the relationship between ultrasound propagation velocity and elastic modulus, which can be obtained through the standard elastic modulus corresponding to brain regions. Brain tissue density was calculated. Where c is the propagation speed of the ultrasound signal in the brain.

[0130] Step S507: Determine the target user's brain feature data through excitation feature data, temperature feature data, and density feature data.

[0131] The excitability feature data calculated in step S504, the temperature feature data obtained in step S505, and the density feature data obtained in step S506 are integrated and calibrated. Abnormal data is removed and related parameters are added. Finally, brain feature data that can comprehensively and accurately reflect the brain state of the target user are determined, providing a core basis for the subsequent generation of operation control commands.

[0132] Optionally, the brain-computer interface device can be controlled to generate operation control commands corresponding to the target user through brain feature data, such as... Figure 6 As shown, it includes:

[0133] Step S601: Obtain the database associated with the ultrasonic transducer array in the brain-computer interface device; wherein, the database is constructed by brain signal data collected after the target user executes a preset action command.

[0134] First, a pre-set database associated with the ultrasonic transducer array in the brain-computer interface device is obtained. This database provides the basic support for command matching. The construction method is as follows: before the device is put into use, the target user is asked to perform a series of pre-set action commands in advance, and brain signal data (including excitability, temperature, density and other characteristic data) corresponding to the user's execution of each action command are collected simultaneously. After the collected data is sorted, calibrated and classified, the exclusive database is constructed.

[0135] Step S602: Use the database to obtain the classification results of the action commands corresponding to the brain feature data.

[0136] The brain feature data of the target user's current brain state is input into the database obtained in step S601. The current brain feature data is compared and matched with the brain signal data corresponding to each preset action command that are pre-stored in the database through the feature matching algorithm built into the database. Finally, the action command classification result corresponding to the brain feature data is obtained, and the action category corresponding to the current user's brain intention is determined.

[0137] Step S603: Based on the action command classification results, control the brain-computer interface device to generate operation control commands corresponding to the target user.

[0138] Based on the action command classification results obtained in step S602, a control signal is sent to the brain-computer interface device. The device, in conjunction with preset command generation rules, converts the action command classification results into operation control commands that can directly drive external devices. This ensures that the generated operation control commands accurately match the target user's brain intentions, achieving efficient interaction between the brain and external devices. In real-world scenarios, a neural network model constructed using relevant machine learning algorithms can be used to classify brain feature data and ultimately obtain the target user's corresponding operation control commands (such as "clench fist" or "raise leg" commands).

[0139] To address the lack of signal focusing techniques and difficulty in acquiring deep brain signals in existing brain-computer interfaces, this paper proposes a method to achieve focused acquisition of target brain regions by precisely controlling an ultrasonic transducer array. Optionally, step S103 involves determining the ultrasonic modulation command corresponding to the ultrasonic transducer array using the focusing control parameters of the brain-computer interface device, and then using the ultrasonic modulation command to control the brain-computer interface device to generate a focusing control command that acts on the target user. Figure 7 As shown, it includes:

[0140] Step S701: Obtain the first focusing control parameters corresponding to the brain-computer interface device, and use the first focusing control parameters to determine the first target brain region of the target user.

[0141] First, the preset first focusing control parameters of the brain-computer interface device are obtained. These parameters include core elements such as focusing depth, focusing range, and signal accuracy requirements. Based on these parameters, the first target brain region (preferably deep brain regions that are difficult to cover with existing technology) that the target user needs to focus on is accurately located and determined, thus clarifying the target direction for subsequent focusing modulation.

[0142] Step S702: Determine the phase delay of the ultrasonic transducer based on the distance between each ultrasonic transducer in the ultrasonic transducer array and the first target brain region, and determine the phase adjustment command corresponding to the ultrasonic transducer array through the phase delay.

[0143] The actual distance between each ultrasound transducer in the ultrasound transducer array and the first target brain region determined in step S701 is accurately measured. Based on the distance differences between each transducer and the target region, the phase delay for each ultrasound transducer is calculated (to ensure that the ultrasound waves emitted by each transducer arrive at the target region synchronously). Specifically, the phase delay... The result is obtained through the following formula:

[0144] ;

[0145] in, For the first Distance values ​​between an ultrasound transducer and the first target area of ​​the brain; For reference distance; The propagation speed of ultrasound signals in the brain; The center frequency of the emitted ultrasonic wave.

[0146] Then, based on the phase delay of all transducers, the phase adjustment command corresponding to the ultrasonic transducer array is determined and the phase adjustment standard of each transducer is clarified.

[0147] Step S703: The ultrasonic transducer array is controlled by a phase adjustment command to generate a focusing control command that acts on the first target area of ​​the brain; wherein, the focusing control command is used to control the ultrasonic transducer array to emit a focused ultrasonic beam toward the target area of ​​the brain.

[0148] The phase adjustment command determined in step S702 is transmitted to the ultrasonic transducer array. The command controls each transducer in the array to adjust its working phase in a coordinated manner, thereby generating a focusing control command that acts on the first target area of ​​the brain. The core function of this focusing control command is to control the ultrasonic transducer array to directionally emit a focused ultrasonic beam toward the first target area of ​​the brain, thereby reducing signal diffusion and improving the acquisition accuracy and clarity of signals from deep brain regions.

[0149] To address the problem of existing brain-computer interfaces lacking signal focusing methods and struggling to acquire deep brain signals, focused acquisition of the target brain region can be achieved by precisely adjusting the power of the ultrasonic transducer array. Optionally, step S103 involves determining the ultrasonic adjustment command corresponding to the ultrasonic transducer array using the focusing control parameters of the brain-computer interface device, and then controlling the brain-computer interface device to generate a focusing control command acting on the target user using the ultrasonic adjustment command. Figure 8 As shown, it includes:

[0150] Step S801: Obtain the second focusing control parameters corresponding to the brain-computer interface device, and use the second focusing control parameters to determine the second target brain region of the target user.

[0151] First, the second focusing control parameters preset by the brain-computer interface device are obtained. These parameters include core elements such as focusing depth, signal acquisition accuracy, and power adaptation range. Based on these parameters, the second target brain region for signal focusing acquisition of the target user is accurately located and determined. This clarifies the specific target direction for subsequent focusing intensity adjustment, ensuring that the focusing operation is more targeted.

[0152] Step S802: Determine the target value of focusing intensity, focusing efficiency, and focal spot area corresponding to the second brain target region based on the second focusing control parameters.

[0153] Based on the second focusing control parameters obtained in step S801, and combined with the location of the second brain target region (especially the signal attenuation characteristics of the deep region), the target focusing intensity value, focusing efficiency requirements, and focal spot area parameters corresponding to the target region are further clarified; the target focusing intensity value ensures the clarity of signal acquisition, the focusing efficiency takes into account both power supply economy and acquisition effect, and the focal spot area controls the focusing range to avoid interfering with the surrounding brain regions.

[0154] Step S803: Determine the power adjustment command corresponding to the ultrasonic transducer array using the target value of focusing intensity, focusing efficiency, and focal spot area.

[0155] Using the target value of focused intensity, focused efficiency, and focal spot area determined in step S802 as the core basis, and combined with the power output characteristics of the ultrasonic transducer array, the power adjustment command corresponding to the ultrasonic transducer array is determined through parameter adaptation calculation, the power output standard of each transducer in the array is clarified, and the power adjustment can accurately match the focusing needs of the second brain target area.

[0156] Specifically, the focusing intensity satisfies the following relationship:

[0157] ;

[0158] in, In order to focus on the intensity target value, The power value corresponding to the power adjustment command. To focus on efficiency, This represents the area of ​​the focal spot.

[0159] Step S804: The ultrasonic transducer array is controlled by a power adjustment command to generate a focusing control command that acts on the second target area of ​​the brain; wherein, the focusing control command is used to control the focused ultrasonic beam emitted by the ultrasonic transducer array toward the second target area of ​​the brain to reach the target value of focusing intensity.

[0160] The power adjustment command determined in step S803 is transmitted to the ultrasonic transducer array. This command controls the power output of each transducer in the array to be adjusted in a coordinated manner, thereby generating a focusing control command that acts on the second target area of ​​the brain. The core function of this focusing control command is to control the focused ultrasonic beam emitted by the ultrasonic transducer array towards the second target area of ​​the brain to accurately reach the preset focusing intensity target value, reduce signal attenuation and diffusion, and improve the acquisition accuracy and stability of signals in the deep target area of ​​the brain.

[0161] As can be seen from the above-described brain-computer interface device control method, this method utilizes the piezoelectric ceramic deployed in the power supply unit of the brain-computer interface device to convert the periodic vibration deformation corresponding to the target user's heartbeat or breathing into electrical energy, thereby realizing the self-powered power supply of the brain-computer interface device. In addition, this method utilizes the ultrasonic transducer array in the brain-computer interface device to achieve multi-channel synchronous acquisition of the target user's brain signals, and can accurately extract and feedback brain signals from deep brain regions, thereby solving the problems of low security, poor power supply convenience, and insufficient signal accuracy of existing brain-computer interface devices.

[0162] Corresponding to the above-described embodiments of the brain-computer interface device control method, this invention also provides a brain-computer interface device control system, the brain-computer interface device including a power supply unit and an ultrasonic transducer array; as shown Figure 9 As shown, the control system of this brain-computer interface device includes:

[0163] The power supply control module 910 is used to: collect periodic vibration data of the target user through the piezoelectric ceramic deployed in the power supply unit, use the periodic vibration data to control the piezoelectric ceramic to generate the output power corresponding to the power supply unit, and control the power supply unit to transmit the output power to the ultrasonic transducer array based on the power supply strategy parameters of the brain-computer interface device.

[0164] The operation control module 920 is used to control the ultrasonic transducer array to collect the target user's brain ultrasonic signals using the command acquisition parameters of the brain-computer interface device, obtain the target user's brain feature data using the brain ultrasonic signals, and control the brain-computer interface device to generate operation control commands corresponding to the target user through the brain feature data.

[0165] Focusing control command 930 is used to determine the ultrasonic modulation command corresponding to the ultrasonic transducer array using the focusing control parameters of the brain-computer interface device, and to control the brain-computer interface device to generate a focusing control command that acts on the target user through the ultrasonic modulation command.

[0166] As can be seen from the above-mentioned brain-computer interface device control system, the system utilizes the power supply unit in the brain-computer interface device to convert the periodic vibration deformation corresponding to the target user's heartbeat or breathing into electrical energy through the piezoelectric ceramic deployed therein, thus realizing the self-powered power supply of the brain-computer interface device. In addition, the system utilizes the ultrasonic transducer array in the brain-computer interface device to achieve multi-channel synchronous acquisition of brain signals of the target user, and can accurately extract and feedback brain signals from deep brain regions, thereby solving the problems of low security, poor power supply convenience, and insufficient signal accuracy of existing brain-computer interface devices.

[0167] This invention also provides a brain-computer interface device, such as... Figure 10As shown, the brain-computer interface device includes a power supply unit 110 and an ultrasonic transducer array 120; during the brain-computer interaction with the target user, the brain-computer interface device adopts the steps of the brain-computer interface device control method provided in the above embodiments.

[0168] The brain-computer interface device control system and brain-computer interface device provided in this embodiment of the invention have the same implementation principle and technical effects as the aforementioned brain-computer interface device control method embodiment. For the sake of brevity, any parts not mentioned in the system embodiment can be referred to the corresponding content in the aforementioned brain-computer interface device control method embodiment.

[0169] This embodiment also provides an electronic device, the structural schematic diagram of which is shown below. Figure 11 As shown, the device includes a processor 101 and a memory 102; wherein, the memory 102 is used to store one or more computer instructions, which are executed by the processor to implement the steps of the brain-computer interface device control method described above.

[0170] Figure 11 The electronic device shown also includes a bus 103 and a communication interface 104, with the processor 101, communication interface 104 and memory 102 connected via the bus 103.

[0171] The memory 102 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device. The bus 103 may be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 11 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0172] The communication interface 104 is used to connect to at least one user terminal and other network units through a network interface, and to send encapsulated IPv4 packets or IPv4 packets to the user terminal through the network interface.

[0173] Processor 101 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 101 or by instructions in software form. The processor 101 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this disclosure. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this disclosure can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 102. The processor 101 reads the information in memory 102 and, in conjunction with its hardware, completes the steps of the method described in the foregoing embodiments.

[0174] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, devices, and methods can be implemented in other ways. The system embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0175] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0176] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0177] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, electronic device, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0178] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A control method for a brain-computer interface device, characterized in that, The brain-computer interface device includes a power supply unit and an ultrasonic transducer array; the method includes: After collecting periodic vibration data of the target user through the piezoelectric ceramic deployed in the power supply unit, the periodic vibration data is used to control the piezoelectric ceramic to generate the output power corresponding to the power supply unit, and the power supply unit is controlled to transmit the output power to the ultrasonic transducer array based on the power supply strategy parameters of the brain-computer interface device. The brain-computer interface device is used to collect parameters to control the ultrasonic transducer array to collect the target user's brain ultrasonic signals, and the target user's brain feature data is obtained using the brain ultrasonic signals. The brain feature data is then used to control the brain-computer interface device to generate operation control commands corresponding to the target user. The focus control parameters of the brain-computer interface device are used to determine the ultrasonic modulation command corresponding to the ultrasonic transducer array, and the brain-computer interface device is controlled to generate a focus control command that acts on the target user through the ultrasonic modulation command. The steps of determining the ultrasound modulation command corresponding to the ultrasound transducer array using the focusing control parameters of the brain-computer interface device, and controlling the brain-computer interface device to generate a focusing control command acting on the target user through the ultrasound modulation command, include: Obtain the first focusing control parameters corresponding to the brain-computer interface device, and use the first focusing control parameters to determine the first target brain region of the target user; The phase delay of each ultrasonic transducer is determined based on the distance between each ultrasonic transducer in the ultrasonic transducer array and the first target brain region, and the phase adjustment command corresponding to the ultrasonic transducer array is determined by the phase delay. The phase adjustment command controls the ultrasonic transducer array to generate a focusing control command that acts on the first target brain region; wherein, the focusing control command is used to control the ultrasonic transducer array to emit a focused ultrasonic beam toward the target brain region. The steps of determining the ultrasound modulation command corresponding to the ultrasound transducer array using the focusing control parameters of the brain-computer interface device, and controlling the brain-computer interface device to generate a focusing control command acting on the target user through the ultrasound modulation command, include: The second focusing control parameters corresponding to the brain-computer interface device are obtained, and the second focusing control parameters are used to determine the second target brain region of the target user. The target value of focusing intensity, focusing efficiency, and focal spot area corresponding to the second brain target region are determined based on the second focusing control parameters. The power adjustment command corresponding to the ultrasonic transducer array is determined using the target value of focusing intensity, the focusing efficiency, and the focal spot area. The power adjustment command controls the ultrasonic transducer array to generate a focusing control command that acts on the second target brain region; wherein, the focusing control command is used to control the focused ultrasonic beam emitted by the ultrasonic transducer array toward the second target brain region to reach the target focusing intensity value.

2. The brain-computer interface device control method according to claim 1, characterized in that, After collecting periodic vibration data of the target user through the piezoelectric ceramic deployed in the power supply unit, the periodic vibration data is used to control the piezoelectric ceramic to generate the output electrical energy corresponding to the power supply unit, including: Obtain the lead zirconate titanate piezoelectric ceramic deployed in the power supply unit; wherein the lead zirconate titanate piezoelectric ceramic is attached to the vibration area of ​​the target user's body surface; the substrate plane of the lead zirconate titanate piezoelectric ceramic is a copper sheet electrode, and the parallel plane of the substrate plane in the lead zirconate titanate piezoelectric ceramic is a silver paste electrode; The periodic vibration data generated in the vibration region of the body surface is collected by the lead zirconate titanate piezoelectric ceramic, the mechanical deformation value generated by the lead zirconate titanate piezoelectric ceramic is calculated using the periodic vibration data, and the pressure value applied to the lead zirconate titanate piezoelectric ceramic in the vibration region of the body surface is determined by the mechanical deformation value. The pressure value is used to obtain the AC voltage value generated between the copper sheet electrode and the silver paste electrode. The AC voltage value is then controlled to be sequentially input into the rectifier circuit and filter circuit deployed in the power supply unit to obtain the DC voltage value corresponding to the AC voltage value. The output power of the power supply unit is determined based on the DC voltage value.

3. The brain-computer interface device control method according to claim 1, characterized in that, Based on the power supply strategy parameters of the brain-computer interface device, the power supply unit is controlled to transmit the output electrical energy to the ultrasonic transducer array, including: The power supply strategy parameters corresponding to the brain-computer interface device are determined by the power consumption parameters, working time, charging voltage, and working voltage of the brain-computer interface device. Obtain the energy storage capacitor deployed in the power supply unit, and use the power supply strategy parameters to determine the power input command and power output command corresponding to the energy storage capacitor; After the power supply unit stores the output power into the energy storage capacitor based on the power input command, the power supply unit transmits the output power in the energy storage capacitor to the ultrasonic transducer array based on the power output command.

4. The brain-computer interface device control method according to claim 1, characterized in that, Using the instructions acquired by the brain-computer interface device to control the ultrasonic transducer array to acquire the brain ultrasound signals of the target user, including: Acquire the instruction acquisition parameters corresponding to the brain-computer interface device, and use the instruction acquisition parameters to determine the pulse transmission command and signal reception command corresponding to the ultrasonic transducer array; The pulse emission command controls the ultrasonic transducer array to emit ultrasonic pulses toward the brain region of the target user. The signal receiving command is used to control the ultrasonic transducer array to receive the reflected, refracted, and scattered signals corresponding to the brain region's response to the ultrasonic pulse; The target user's brain ultrasound signal is determined based on the reflected signal, the refracted signal, and the scattered signal.

5. The brain-computer interface device control method according to claim 1, characterized in that, Acquiring brain feature data of the target user using the brain ultrasound signal includes: The target amplitude and signal-to-noise ratio threshold corresponding to the brain ultrasound signal are determined based on the acquired parameters according to the instructions; The power amplification strategy for the brain ultrasound signal is determined using the target amplitude, and the noise reduction processing strategy for the brain ultrasound signal is determined using the signal-to-noise ratio threshold. After amplifying and denoising the brain ultrasound signal using the power amplification strategy and the noise reduction strategy, the echo signal curve corresponding to the brain ultrasound signal is obtained. The excitement characteristic data of the target user are calculated based on the peak amplitude and rate of change of the echo signal curve; Based on the echo signal curve, the acquisition duration corresponding to the ultrasonic transducer array at the preset propagation distance is obtained, and the temperature characteristic data of the target user is calculated using the acquisition duration. The propagation speed of the brain ultrasound signal is obtained based on the echo signal curve, and the density characteristic data of the target user is calculated based on the propagation speed. The target user's brain feature data is determined using the excitation feature data, the temperature feature data, and the density feature data.

6. The brain-computer interface device control method according to claim 1, characterized in that, The brain-computer interface device is controlled to generate operation control commands corresponding to the target user by means of the brain feature data, including: Obtain the database associated with the ultrasonic transducer array in the brain-computer interface device; wherein the database is constructed by brain signal data collected after the target user executes a preset action command; The database is used to obtain the classification results of the action commands corresponding to the brain feature data; Based on the classification results of the action commands, the brain-computer interface device is controlled to generate operation control commands corresponding to the target user.

7. A brain-computer interface device control system, characterized in that, The brain-computer interface device includes a power supply unit and an ultrasonic transducer array; the brain-computer interface device control system includes: The power supply control module is used to: collect periodic vibration data of the target user through the piezoelectric ceramic deployed in the power supply unit, use the periodic vibration data to control the piezoelectric ceramic to generate the output power corresponding to the power supply unit, and control the power supply unit to transmit the output power to the ultrasonic transducer array based on the power supply strategy parameters of the brain-computer interface device. The operation control module is used to control the ultrasonic transducer array to collect the target user's brain ultrasonic signals using the instruction acquisition parameters of the brain-computer interface device, obtain the target user's brain feature data using the brain ultrasonic signals, and control the brain-computer interface device to generate operation control instructions corresponding to the target user through the brain feature data. The focusing control module is used to determine the ultrasonic modulation command corresponding to the ultrasonic transducer array using the focusing control parameters of the brain-computer interface device, and to control the brain-computer interface device to generate a focusing control command that acts on the target user through the ultrasonic modulation command. The focusing control module is further configured to: acquire first focusing control parameters corresponding to the brain-computer interface device; determine a first target brain region of the target user using the first focusing control parameters; determine the phase delay of the ultrasonic transducers based on the distance between each ultrasonic transducer in the ultrasonic transducer array and the first target brain region; determine a phase adjustment command corresponding to the ultrasonic transducer array using the phase delay; and control the ultrasonic transducer array to generate a focusing control command acting on the first target brain region using the phase adjustment command; wherein the focusing control command is used to control the ultrasonic transducer array to emit a focused ultrasonic beam toward the target brain region; The focusing control module is further configured to: acquire second focusing control parameters corresponding to the brain-computer interface device; determine a second target brain region of the target user using the second focusing control parameters; determine a target focusing intensity value, focusing efficiency, and focal spot area corresponding to the second target brain region based on the second focusing control parameters; determine a power adjustment command corresponding to the ultrasonic transducer array using the target focusing intensity value, the focusing efficiency, and the focal spot area; and control the ultrasonic transducer array to generate a focusing control command acting on the second target brain region through the power adjustment command; wherein the focusing control command is used to control the focused ultrasonic beam emitted by the ultrasonic transducer array toward the second target brain region to reach the target focusing intensity value.

8. A brain-computer interface device, characterized in that, The brain-computer interface device includes a power supply unit and an ultrasonic transducer array; during brain-computer interaction with a target user, the brain-computer interface device employs the steps of the brain-computer interface device control method according to any one of claims 1 to 6.

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