Brain fatigue self-adaptive relieving device and method fusing multiple physical fields
Through multi-physical field stimulation devices and closed-loop feedback systems, the magnetic field, current, light stimulation and sound stimulation parameters are dynamically adjusted, which solves the problem of low efficiency of single physical field stimulation in existing technologies and achieves efficient and personalized brain fatigue relief.
Patent Information
- Application Number
- CN202510927003.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-07
- Publication Date
- 2025-10-10
AI Technical Summary
Existing fatigue intervention technologies mainly rely on single physical field stimulation or static parameter schemes, and are unable to achieve coordinated regulation of multiple physical fields, resulting in inefficient fatigue relief, reduced user compliance, and the risk of over-stimulation or under-stimulation, and a lack of individual difference response capabilities.
Using multi-physical field stimulation devices such as magnetic induction coils, electrical stimulation electrodes, infrared laser lights, OLED screens, and stereo speakers, the magnetic field, current, light stimulation, and sound stimulation parameters are dynamically adjusted through EEG acquisition and a closed-loop feedback system to form a multimodal collaborative intervention mechanism.
It achieves efficient collaborative intervention of multiple physical fields, dynamically adapts to the state of brain fatigue, improves fatigue relief efficiency, ensures that parameter adjustment is synchronized with physiological changes, and enhances user compliance.
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Figure CN120754446A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the interdisciplinary field of brain science and neural engineering, and specifically relates to a device and method for adaptively alleviating mental fatigue that integrates multiple physical fields. The device is particularly suitable for dynamic monitoring and active intervention of brain fatigue status through multi-modal synergistic stimulation and closed-loop feedback control of magnetism, electricity, infrared laser, visible light, and sound. Background Art
[0002] With the increasing intensity of work in modern society, mental fatigue has become a core issue affecting cognitive performance and health. Existing fatigue intervention technologies mainly rely on single physical field stimulation or static parameter schemes, which have significant limitations: in terms of stimulation mode, transcranial magnetic stimulation devices (such as CN116510183A) can only regulate neural activity through magnetic fields, and cannot coordinate with other physical fields to achieve synergistic intervention; electrical stimulation devices (such as CN223009651U) focus on local current stimulation and lack the ability to synchronously regulate brain metabolism; sound and light stimulation devices (such as CN120000913A) use fixed parameter outputs, which are difficult to adapt to the dynamic evolution of fatigue status. In terms of control strategy, existing technologies mostly adopt open-loop modes. For example, traditional EEG monitoring systems only collect EEG signals for mental fatigue status assessment, and do not form a closed-loop linkage with the stimulation module, resulting in parameter adjustment lagging behind physiological changes. Although studies have confirmed that physical fields such as magnetic stimulation, infrared lasers, and sound and light have the potential for complementary intervention, existing technologies have not yet overcome the difficulties of multi-physical field hardware integration and coordinated regulation - magnetic, electric, infrared laser, visible light, and sound modules operate separately, and lack a parameter optimization architecture based on physiological feedback.
[0003] These shortcomings lead to three major problems: First, a single stimulation dimension results in inefficient fatigue relief, leading to a continuous decline in user compliance; second, static parameters fail to respond to individual differences and fatigue evolution, leading to the risk of over- or under-stimulation; and third, multimodal, discrete systems fail to achieve field-effect coupling, hindering substantial improvements in fatigue relief effectiveness. Developing integrated, adaptive, multi-field collaborative systems has become a key path to breaking through existing technological bottlenecks. Summary of the Invention
[0004] In response to the above-mentioned problems and deficiencies, the present invention provides a device and method for adaptively alleviating mental fatigue by integrating multiple physical fields.
[0005] The present invention solves the above technical problems through the following technical solutions:
[0006] The present invention provides a device for adaptively relieving mental fatigue by integrating multiple physical fields, characterized by comprising: a magnetic induction coil, an electrical stimulation electrode, an infrared laser lamp, an OLED screen, a stereo sound system, an electroencephalogram (EEG) cap, a magnetic stimulation drive module, an electrical stimulation drive module, an infrared laser stimulation drive module, a visible light stimulation drive module, an acoustic stimulation drive module, an EEG acquisition module, a power management module, a communication module, a main control module, and a model for judging mental fatigue;
[0007] The magnetic induction coil is connected to the magnetic stimulation driving module, and the magnetic stimulation driving module is controlled by the main control module to make the magnetic induction coil emit magnetic stimulation;
[0008] The electrical stimulation electrode is connected to the electrical stimulation driving module, and the electrical stimulation driving module is controlled by the main control module to make the electrical stimulation electrode emit electrical stimulation;
[0009] The infrared laser light is connected to the infrared laser stimulation drive module, and the infrared laser stimulation drive module is controlled by the main control module to make the infrared laser light emit infrared light stimulation;
[0010] The OLED screen is connected to the visible light stimulation driving module, and the visible light stimulation driving module is controlled by the main control module to make the OLED screen emit visible light stimulation;
[0011] The stereo sound system is connected to the sound stimulation driving module, and the sound stimulation driving module is controlled by the main control module to make the stereo sound system emit sound stimulation;
[0012] The EEG cap is connected to the EEG acquisition module to transmit the acquired EEG signals to the main control module, which pre-processes the data and sends it to the remote brain fatigue judgment model through the communication module;
[0013] The brain fatigue judgment model judges the user's brain fatigue state, transmits the state information back to the communication module, and then the communication module transmits it to the main control module. The main control module adaptively adjusts the configuration parameters of each stimulation drive module according to the state information.
[0014] Among them, there are two magnetic induction coils, which are in a ring structure with an outer diameter of 50mm. They are wound with high-purity oxygen-free copper wire with a diameter of 0.2mm and have 500 turns. The magnetic stimulation drive module includes a dual-channel digital-to-analog converter, a dual-channel voltage-controlled constant current source, a dual-channel PWM generator and a dual-channel H-bridge switch. The main control module is electrically connected to the dual-channel digital-to-analog converter and the dual-channel PWM generator respectively for outputting control signals. The dual-channel digital-to-analog converter converts the digital signal output by the main control module into an analog voltage signal and transmits it to the dual-channel voltage-controlled constant current source. The dual-channel voltage-controlled constant current source generates a corresponding analog voltage signal according to the input analog voltage signal. driving current; the dual-channel PWM generator generates two pulse width modulation signals for controlling the switching state of the dual-channel H-bridge switch; the dual-channel H-bridge switch controls the channel and on-off frequency of the driving current input to the magnetic induction coil based on the pulse width modulation signal; under the drive of the magnetic stimulation drive module, the magnetic induction coil can generate a pulsed magnetic field with a frequency range of 0Hz-100Hz and a magnetic field strength range of 1mT-10mT, and the direction of the magnetic field can be switched by ±180° in the three-dimensional space of X, Y, and Z; the frequency, intensity, direction and other parameters of the magnetic field are dynamically adjusted by the main control module according to the brain fatigue status information.
[0015] Among them, there are a total of 2 electrical stimulation electrodes, a single electrical stimulation electrode is a circular sheet structure with a diameter of 15mm and a thickness of 1mm; the electrode material is medical-grade stainless steel, and the surface is coated with a 0.1mm thick inert platinum layer to reduce skin irritation; the electrode is connected to the electrical stimulation drive module through a flexible conductive silicone wire; the electrical stimulation drive module includes a digital-to-analog converter, a voltage-controlled constant current source, a PWM generator and an H-bridge switch; the main control module is electrically connected to the digital-to-analog converter and the PWM generator respectively for outputting control signals; the digital-to-analog converter converts the digital signal output by the main control module into an analog voltage signal and transmits it to the voltage-controlled constant current source; the voltage-controlled constant current source generates a corresponding driving current according to the input analog voltage signal; the PWM generator generates A pulse width modulation signal is used to control the switching state of the H-bridge switch; the H-bridge switch controls the channel and on-off frequency of the driving current input to the electrical stimulation electrode based on the received pulse width modulation signal; under the drive of the electrical stimulation drive module, the electrical stimulation electrode can generate four stimulation forms: DC, sine wave, triangle wave, and square wave, among which the current intensity range of DC stimulation is 0-2mA, and the frequency adjustment range of sine wave, triangle wave, and square wave is 1Hz-100Hz; the positive and negative poles of the two electrical stimulation electrodes can be controlled by the main control module to achieve periodic or non-periodic switching of the H-bridge switch; the stimulation form, waveform type, frequency, electrode polarity and current parameters of the electrical stimulation electrode can all be dynamically adjusted by the main control module according to the brain fatigue status information.
[0016] The infrared laser lamp is a 1064 nm wavelength laser; the infrared laser stimulation driving module includes a digital-to-analog converter and a power amplifier; the master control module is electrically connected with the digital-to-analog converter and is used for outputting a control signal; the digital-to-analog converter converts the digital signal output by the master control module into an analog voltage signal and transmits the analog voltage signal to the power amplifier; the power amplifier outputs the amplified current to the infrared laser lamp according to the input analog voltage signal; under the driving of the infrared laser stimulation driving module, the infrared laser lamp can realize power dynamic adjustment in the range of 5 mW-300 mW; and the output power parameters of the infrared laser lamp are dynamically adjusted by the master control module according to the state information returned by the brain fatigue judgment model.
[0017] The OLED screen is a flexible organic light-emitting diode display screen and is connected with the visible light stimulation driving module through a flexible flat cable; the visible light stimulation driving module is a special display driving IC and is electrically connected with the master control module and receives the control signal output by the master control module; the display driving IC analyzes and converts the control signal of the master control module into a corresponding driving signal to control the display state of the OLED screen; the OLED screen can emit visible light with a wavelength range of 390 nm-780 nm, a light flicker frequency adjustment range of 0-50 Hz, and a brightness adjustment range of 1 cd / m 2 -1000 cd / m 2 ; and the emission wavelength, flicker frequency and brightness parameters of the OLED screen are dynamically adjusted by the master control module according to the state information returned by the brain fatigue judgment model.
[0018] The stereo sound includes independent left channel and right channel loudspeakers and is connected with the sound stimulation driving module through an audio connection line; the sound stimulation driving module includes a dual-channel digital-to-analog converter and a dual-channel power amplifier; the master control module is electrically connected with the dual-channel digital-to-analog converter and is used for outputting a control digital signal; the dual-channel digital-to-analog converter converts the digital signal output by the master control module into two analog audio signals and transmits the two analog audio signals to the dual-channel power amplifier; the dual-channel power amplifier drives the left channel and right channel loudspeakers to emit sound after amplifying the two analog audio signals; the sound intensity adjustment range of the left channel and the right channel is 0-10 W, and the sound stimulation frequency adjustment range is 4 Hz-2000 Hz; the sound stimulation driving module can generate a specific difference frequency in the left channel and the right channel to realize different sound stimulation effects; and the sound intensity, sound stimulation frequency and difference frequency parameters of the stereo sound are dynamically adjusted by the master control module according to the state information returned by the brain fatigue judgment model.
[0019] Among them, the EEG cap is an eight-channel EEG acquisition device, equipped with a reference electrode and a ground electrode, which is used to improve the accuracy and stability of EEG signal acquisition; the EEG acquisition module includes an eight-channel analog-to-digital converter and an analog filter; the EEG cap is electrically connected to the analog filter through a shielded cable, and transmits the collected original EEG signal to the analog filter; the analog filter filters the original EEG signal, eliminates high-frequency noise and interference signals, and outputs the preprocessed analog EEG signal; the eight-channel analog-to-digital converter is connected to the analog filter, and converts the preprocessed analog EEG signal into a digital signal; the main control module is electrically connected to the eight-channel analog-to-digital converter, receives the converted EEG digital signal, and performs preprocessing operations such as amplification and baseline drift removal on it; the preprocessed EEG digital signal is transmitted to the brain fatigue judgment model through the communication module for analyzing the user's brain fatigue status; the sampling frequency range of the EEG acquisition module is 250Hz-4000Hz, and the sampling accuracy is 16-24 bits, which can be set by the main control module according to actual acquisition requirements.
[0020] The main control module includes an SPI communication bus, an IIC communication bus, a DSP unit, a serial port unit, a GPIO unit and an RTOS unit; the SPI communication bus is used to control and communicate with the EEG acquisition module and the sound stimulation drive module; the IIC communication bus is used to control and communicate with the magnetic stimulation drive module, the electric stimulation drive module, the infrared laser stimulation drive module and the visible light stimulation module; the DSP unit is used as the computing unit of the main control module to execute the preprocessing algorithm of the EEG signal, receive and analyze the status information sent back by the brain fatigue judgment model, and generate various stimulation signals according to the status information. The control parameters of the stimulation drive module; the serial port unit is used for data transmission between the main control module and the communication module, so as to upload the EEG signal to the brain fatigue judgment model and receive the feedback information; the GPIO unit is electrically connected to the power management module, and drives the switch circuit inside the power management module by outputting a high-level or low-level control signal, thereby turning the power supply to each module on and off; the RTOS unit is used as a real-time operating system to coordinate the working sequence of each unit in the main control module, ensure the real-time and accuracy of operations such as EEG signal processing and stimulation parameter adjustment, and realize efficient management and control of the entire device.
[0021] The present invention also provides a method for adaptively alleviating mental fatigue by integrating multiple physical fields, characterized in that it is implemented using the above-mentioned device for adaptively alleviating mental fatigue by integrating multiple physical fields, and the method comprises the following steps:
[0022] Step 1: After the device is turned on, the power management module starts to supply power to the main control module;
[0023] Step 2: The main control module starts the EEG acquisition module and collects EEG signals through the EEG cap at a sampling frequency of 1000 Hz and a sampling accuracy of 24 bits. The DSP unit in the main control module performs pre-processing such as filtering, amplification, and baseline drift removal on the raw EEG signals, and then transmits the data to the communication module through the serial port unit. The communication module encapsulates and packages the data according to the protocol and then transmits it to the brain fatigue judgment model.
[0024] Step 3: After receiving the EEG data, the brain fatigue judgment model uses time domain and frequency domain analysis methods to extract eigenvalues, and inputs the eigenvalues into the random forest model;
[0025] Step 4: The random forest model outputs brain fatigue status information and transmits it back to the main control module through the communication module;
[0026] Step 5: After receiving the brain fatigue status information, the main control module controls the power management module to turn on the power of the corresponding stimulation drive module through the GPIO unit according to the preset mapping relationship; at the same time, the main control module configures the parameters of each stimulation drive module through the SPI communication bus, IIC communication bus and other interfaces based on the brain fatigue status information;
[0027] Step 6: Each stimulation driving module drives the magnetic induction coil, the electrical stimulation electrode, the infrared laser light, the OLED screen, and the stereo sound system according to the configuration parameters to perform brain fatigue relief stimulation. After the stimulation continues for a preset period of time, the main control module controls the power management module through the GPIO unit to turn off the power of the stimulation driving module, and then repeats steps 2 to 6 to achieve dynamic monitoring and adaptive relief of the user's brain fatigue status.
[0028] The positive effects of the present invention are:
[0029] The system integrates five types of physical field actuators: magnetic induction, electrical stimulation, infrared laser, OLED visible light, and stereo sound, breaking through the technical limitations of traditional single stimulation modes. A pulsed magnetic field (0-100Hz, 1-10mT) with a three-dimensional ±180° adjustable range is achieved through a magnetic induction coil. Combined with the DC / AC four-waveform output and dynamic polarity switching of the electrical stimulation electrodes (0-2mA, 1-100Hz), precise power control of the infrared laser (5-300mW, 1064nm wavelength), adaptive stroboscopic and visible light wavelength adaptation of the OLED screen (0-50Hz, 390-780nm), and stereo difference frequency technology (4-2000Hz, with independent control of both channels), this system forms a multi-modal synergistic intervention mechanism combining magneto-electricity-laser-visible light-sound.
[0030] A closed-loop system of "EEG acquisition → cloud-based decision-making → real-time parameter optimization" is constructed: the eight-channel EEG cap collects signals with a precision of 4000Hz / 24bit, which are pre-processed by the DSP unit of the main control module, and then the cloud-based random forest model realizes fatigue status identification; the main control module completes dynamic reconfiguration of stimulation parameters within a short time through the SPI / IIC bus, supports magnetic field direction deflection, electrode polarity switching, and sound and light difference frequency synchronization, ensuring that the intervention strategy accurately adapts to the fatigue evolution process.
[0031] A personalized parameter mapping library is established to dynamically generate the optimal stimulation combination for different fatigue levels. For example, for mild fatigue, a 10Hz low-frequency magnetic field (1mT) and a 10Hz alpha wave acoustic stimulation (sound intensity 2W, difference frequency 3Hz) are used; for moderate fatigue, a 100mW infrared laser and a 30Hz square wave electrical stimulation (polarity cycle switching 2s, current 1.5mA) are used; for severe fatigue, an 80Hz high-frequency magnetic field (8mT, Z+90° direction) and a 40Hz OLED strobe (brightness 800cd / m 2 The above measures can meet the needs of diverse scenarios and provide efficient solutions to mental fatigue for long-term mental workers and people in special occupations. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0033] Figure 1 A schematic structural diagram of a device for adaptively alleviating mental fatigue by integrating multiple physical fields provided in an embodiment of the present invention.
[0034] Figure 2 A structural diagram of the magnetic stimulation function provided by an embodiment of the present invention.
[0035] Figure 3 A schematic diagram of the structure of the electrical stimulation function provided by an embodiment of the present invention.
[0036] Figure 4 This is a structural diagram of the infrared laser stimulation function provided by an embodiment of the present invention.
[0037] Figure 5 A schematic diagram of the structure of the visible light stimulation function provided by an embodiment of the present invention.
[0038] Figure 6 This is a structural diagram of the sound stimulation function provided by an embodiment of the present invention.
[0039] Figure 7This is a structural diagram of the EEG acquisition function provided by an embodiment of the present invention.
[0040] Figure 8 A schematic structural diagram of a main control module provided in an embodiment of the present invention. DETAILED DESCRIPTION
[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.
[0042] like Figure 1-8 As shown, this embodiment provides an adaptive mental fatigue relief device that integrates multiple physical fields, characterized in that it includes: magnetic induction coils 2 and 3, electrical stimulation electrodes 4 and 5, infrared laser lights 6, OLED screen 14, stereo speakers 13, EEG cap 1, magnetic stimulation drive module 10, electrical stimulation drive module 9, infrared laser stimulation drive module 8, visible light stimulation drive module 7, sound stimulation drive module 16, EEG acquisition module 15, power management module 11, communication module 18, main control module 17 and brain fatigue judgment model 12.
[0043] When in use, the magnetic induction coils 2 and 3 are placed on both sides of the occipital region of the back of the human head; Figure 2 As shown, the magnetic stimulation driving module 10 includes a dual-channel digital-to-analog converter 19, a dual-channel voltage-controlled constant current source 20, a dual-channel PWM generator 36 and a dual-channel H-bridge switch 37; the main control module 17 is electrically connected to the dual-channel digital-to-analog converter 19 and the dual-channel PWM generator 36 respectively for outputting control signals; the dual-channel digital-to-analog converter 19 converts the digital signal output by the main control module 17 into an analog voltage signal and transmits it to the dual-channel voltage-controlled constant current source 20; the dual-channel voltage-controlled constant current source 20 generates a corresponding driving current according to the input analog voltage signal; the dual-channel PWM generator 36 generates two A pulse width modulation signal is provided for controlling the switching state of the dual H-bridge switch 37; based on the pulse width modulation signal, the dual H-bridge switch 37 controls the channel and on-off frequency of the driving current input to the magnetic induction coils 2 and 3; under the drive of the magnetic stimulation driving module 10, the magnetic induction coils 2 and 3 can generate a pulse magnetic field with a frequency range of 0Hz-100Hz and a magnetic field strength range of 1mT-10mT, and the direction of the magnetic field can be switched by ±180° in the three-dimensional space of X, Y, and Z; the frequency, intensity, direction and other parameters of the magnetic field are dynamically adjusted by the main control module 17 according to the brain fatigue status information.
[0044] When in use, the electrical stimulation electrodes 4 and 5 are placed on the left frontal pole (FP1) and the right frontal pole (FP2) of the human body respectively; Figure 3 As shown, the electrical stimulation driving module 9 includes a digital-to-analog converter 22, a voltage-controlled constant current source 23, a PWM generator 21 and an H-bridge switch 24; the main control module 17 is electrically connected to the digital-to-analog converter 22 and the PWM generator 21 respectively, for outputting a control signal; the digital-to-analog converter 22 converts the digital signal output by the main control module 17 into an analog voltage signal, and transmits it to the voltage-controlled constant current source 23; the voltage-controlled constant current source 23 generates a corresponding driving current according to the input analog voltage signal; the PWM generator 21 generates a pulse width modulation signal for controlling the switching state of the H-bridge switch 24; the H-bridge switch 24 generates a pulse width modulation signal based on the received pulse width modulation signal. Signal, controls the channel and on-off frequency of the driving current input to the electrical stimulation electrodes 4 and 5; under the drive of the electrical stimulation driving module 9, the electrical stimulation electrodes 4 and 5 can generate four stimulation forms: DC, sine wave, triangle wave, and square wave, among which the current intensity range of DC stimulation is 0-2mA, and the frequency adjustment range of sine wave, triangle wave, and square wave is 1Hz-100Hz; the positive and negative poles of the electrical stimulation electrodes 4 and 5 can be controlled by the main control module 17 to realize periodic or non-periodic switching of the H-bridge switch; the stimulation form, waveform type, frequency, electrode polarity and current parameters of the electrical stimulation electrodes 4 and 5 can be dynamically adjusted by the main control module 17 according to the brain fatigue status information.
[0045] When in use, the infrared laser light 6 is a 1064nm wavelength laser, which is directed towards the center of the eyebrows of the human body; Figure 4 As shown, the infrared laser stimulation driving module 8 includes a digital-to-analog converter 25 and a power amplifier 27; the main control module 17 is electrically connected to the digital-to-analog converter 25 for outputting a control signal; the digital-to-analog converter 25 converts the digital signal output by the main control module 17 into an analog voltage signal and transmits it to the power amplifier 27; the power amplifier 27 amplifies the current according to the input analog voltage signal and outputs it to the infrared laser lamp 6; under the drive of the infrared laser stimulation driving module 8, the infrared laser lamp 6 can achieve dynamic power adjustment within the range of 5mW-300mW; the output power parameters of the infrared laser lamp 6 are controlled in real time by the main control module 17 based on the status information sent back by the brain fatigue judgment model.
[0046] When in use, the OLED screen 14 faces the human eyes; Figure 5As shown, the visible light stimulation driving module 7 is a dedicated display driving IC 29, which is electrically connected with the master control module 17 and receives the control signal output by the master control module 17; the display driving IC 29 converts the control signal of the master control module 17 into corresponding driving signal to control the display state of the OLED screen 14; the OLED screen 14 can emit visible light with wavelength range of 390nm-780nm, light flicker frequency adjustment range of 0-50Hz, and brightness adjustment range of 1cd / m 2 -1000cd / m 2 ; the light emitting wavelength, flicker frequency and brightness parameters of the OLED screen 14 are all real-time regulated by the master control module 17 according to the state information returned by the brain fatigue judgment model.
[0047] In use, the stereo sound 13 includes independent left channel speaker 33 and right channel speaker 32, which are respectively arranged on the left side and the right side of the human body; as shown, Figure 6 As shown, the sound stimulation driving module 16 includes a dual-channel digital-to-analog converter 30 and a dual-channel power amplifier 31; the master control module 17 is electrically connected with the dual-channel digital-to-analog converter 30 for outputting control digital signal; the dual-channel digital-to-analog converter 30 converts the digital signal output by the master control module 17 into two analog audio signals respectively, and transmits them to the dual-channel power amplifier 31; the dual-channel power amplifier 31 amplifies the two analog audio signals respectively and drives the left channel speaker 33 and the right channel speaker 32 to sound; the sound intensity adjustment range of the left channel speaker 33 and the right channel speaker 32 is both 0-10W, and the sound stimulation frequency adjustment range is both 4Hz-2000Hz; the sound stimulation driving module 16 can produce specific difference frequency in the left and right channels to achieve different sound stimulation effects; the sound intensity, sound stimulation frequency and difference frequency parameters of the stereo sound 13 are all dynamically adjusted by the master control module 17 according to the state information returned by the brain fatigue judgment model.
[0048] In use, the EEG cap 1 is an eight-channel EEG acquisition device, which is configured with a reference electrode and a grounding electrode and is worn on the human brain; as shown, Figure 7As shown, the EEG acquisition module 15 includes an eight-channel analog-to-digital converter 34 and an analog filter 35; the EEG cap 1 is electrically connected to the analog filter 35 through a shielded cable, and transmits the collected original EEG signal to the analog filter 35; the analog filter 35 filters the original EEG signal, eliminates high-frequency noise and interference signals, and outputs a preprocessed analog EEG signal; the eight-channel analog-to-digital converter 34 is connected to the analog filter 35, and converts the preprocessed analog EEG signal into a digital signal; the main control module 17 is electrically connected to the eight-channel analog-to-digital converter 34, receives the converted EEG digital signal, and performs preprocessing operations such as amplification and baseline drift removal on it; the preprocessed EEG digital signal is transmitted to the brain fatigue judgment model through the communication module 18 for analyzing the user's brain fatigue status; the sampling frequency range of the EEG acquisition module 15 is 250Hz-4000Hz, and the sampling accuracy is 16-24 bits, which can be set by the main control module 17 according to actual acquisition requirements.
[0049] like Figure 8 As shown, the main control module 17 includes an SPI communication bus 37, an IIC communication bus 38, a DSP unit 28, a serial port unit 41, a GPIO unit 39 and an RTOS unit 40; wherein the SPI communication bus 37 is used to control and communicate with the EEG acquisition module 15 and the sound stimulation drive module 16; the IIC communication bus 38 is used to control and communicate with the magnetic stimulation drive module 10, the electric stimulation drive module 9, the infrared laser stimulation drive module 8, and the visible light stimulation module 7; the DSP unit 28 is used as the computing unit of the main control module 17 to execute the preprocessing algorithm of the EEG signal, receive and analyze the status information sent back by the brain fatigue judgment model 12, and calculate the status of the brain fatigue judgment model 12 according to the processing of the SPI communication bus 37; This status information generates control parameters for each stimulation drive module; the serial port unit 41 is used for data transmission between the main control module 17 and the communication module 18, so as to upload the EEG signal to the brain fatigue judgment model 12 and receive the return information; the GPIO unit 39 is electrically connected to the power management module 11, and drives the switching circuit inside the power management module 11 by outputting a high-level or low-level control signal, thereby realizing the turning on and off of the power supply to each module; the RTOS unit 40 is a real-time operating system, which is used to coordinate the working timing of each unit in the main control module, ensure the real-time and accuracy of operations such as EEG signal processing and stimulation parameter adjustment, and realize efficient management and control of the entire device.
[0050] This embodiment also provides a method for adaptively alleviating mental fatigue by integrating multiple physical fields, which is implemented using the aforementioned device for adaptively alleviating mental fatigue by integrating multiple physical fields. The method includes the following steps:
[0051] Step 1: After the device is turned on, the power management module 11 starts to supply power to the main control module 17;
[0052] Step two: the host module 17 starts the electroencephalogram acquisition module 15 to collect electroencephalogram signals through the electroencephalogram cap 1 at a sampling frequency of 1000 Hz and a sampling accuracy of 24 bits; the DSP unit 28 in the host module 17 performs filtering, amplification, baseline drift removal and other preprocessing on the original electroencephalogram signals, and then transmits the data to the communication module 18 through the serial port unit 41; the communication module 18 encapsulates and packages the data according to the protocol, and then transmits the data to the brain fatigue judgment model 12;
[0053] Step three: after the brain fatigue judgment model 12 receives the electroencephalogram data, it uses time domain and frequency domain analysis methods to extract characteristic values, and inputs the characteristic values into the random forest model;
[0054] Step four: the random forest model outputs brain fatigue state information, and returns the information to the host module 17 through the communication module 18;
[0055] Step five: after the host module 17 receives the brain fatigue state information, it controls the power management module 11 to turn on the power of the corresponding stimulation driving module according to the pre-set mapping relationship through the GPIO unit 39; at the same time, the host module 17 configures the parameters of each stimulation driving module through the SPI communication bus 37, the IIC communication bus 38 and other interfaces according to the brain fatigue state information;
[0056] Step six: each stimulation driving module drives the magnetic induction coil 2 and 3, the electric stimulation electrode 4 and 5, the infrared laser lamp 6, the OLED screen 14 and the stereo sound 13 to execute brain fatigue relief stimulation according to the configuration parameters; after the stimulation lasts for a preset time, the host module 17 controls the power management module 11 to turn off the power of the stimulation driving module through the GPIO unit 39, and then repeats steps two to six to realize dynamic monitoring and adaptive relief of the user's brain fatigue state.
Claims
1. A device for adaptively relieving mental fatigue by integrating multiple physical fields, characterized in that: include: Magnetic induction coil, electrical stimulation electrodes, infrared laser light, OLED screen, stereo speakers, EEG cap, magnetic stimulation drive module, electrical stimulation drive module, infrared laser stimulation drive module, visible light stimulation drive module, sound stimulation drive module, EEG acquisition module, power management module, communication module, main control module and brain fatigue judgment model; The magnetic induction coil is connected to the magnetic stimulation driving module, and the magnetic stimulation driving module is controlled by the main control module to make the magnetic induction coil emit magnetic stimulation; The electrical stimulation electrode is connected to the electrical stimulation driving module, and the electrical stimulation driving module is controlled by the main control module to make the electrical stimulation electrode emit electrical stimulation; The infrared laser light is connected to the infrared laser stimulation drive module, and the infrared laser stimulation drive module is controlled by the main control module to make the infrared laser light emit infrared light stimulation; The OLED screen is connected to the visible light stimulation driving module, and the visible light stimulation driving module is controlled by the main control module to make the OLED screen emit visible light stimulation; The stereo sound system is connected to the sound stimulation driving module, and the sound stimulation driving module is controlled by the main control module to make the stereo sound system emit sound stimulation; The EEG cap is connected to the EEG acquisition module to transmit the acquired EEG signals to the main control module, which pre-processes the data and sends it to the remote brain fatigue judgment model through the communication module; The brain fatigue judgment model judges the user's brain fatigue state, transmits the state information back to the communication module, and then the communication module transmits it to the main control module. The main control module adaptively adjusts the configuration parameters of each stimulation drive module according to the state information.
2. The multi-physics field integrated mental fatigue adaptive relief device according to claim 1 is characterized by: The magnetic induction coil is provided with two, annular structure, outer diameter 50mm, using high-purity oxygen-free copper wire with a diameter of 0.2mm, and the number of turns is 500 turns; the magnetic stimulation drive module includes a dual-channel digital-to-analog converter, a dual-channel voltage-controlled constant current source, a dual-channel PWM generator and a dual-channel H-bridge switch; the main control module is electrically connected to the dual-channel digital-to-analog converter and the dual-channel PWM generator respectively for outputting control signals; the dual-channel digital-to-analog converter converts the digital signal output by the main control module into an analog voltage signal and transmits it to the dual-channel voltage-controlled constant current source; the dual-channel voltage-controlled constant current source generates a corresponding analog voltage signal according to the input analog voltage signal. driving current; the dual-channel PWM generator generates two pulse width modulation signals for controlling the switching state of the dual-channel H-bridge switch; the dual-channel H-bridge switch controls the channel and on-off frequency of the driving current input to the magnetic induction coil based on the pulse width modulation signal; under the drive of the magnetic stimulation drive module, the magnetic induction coil can generate a pulsed magnetic field with a frequency range of 0Hz-100Hz and a magnetic field strength range of 1mT-10mT, and the direction of the magnetic field can be switched by ±180° in the three-dimensional space of X, Y, and Z; the frequency, intensity, direction and other parameters of the magnetic field are dynamically adjusted by the main control module according to the brain fatigue status information.
3. The multi-physics field integrated mental fatigue adaptive relief device according to claim 1 is characterized by: There are two electrical stimulation electrodes in total, and a single electrical stimulation electrode is a circular sheet structure with a diameter of 15mm and a thickness of 1mm. The electrode material is medical-grade stainless steel, and the surface is coated with a 0.1mm thick inert platinum layer to reduce skin irritation. The electrode is connected to the electrical stimulation drive module through a flexible conductive silicone wire. The electrical stimulation drive module includes a digital-to-analog converter, a voltage-controlled constant current source, a PWM generator and an H-bridge switch. The main control module is electrically connected to the digital-to-analog converter and the PWM generator respectively for outputting control signals. The digital-to-analog converter converts the digital signal output by the main control module into an analog voltage signal and transmits it to the voltage-controlled constant current source. The voltage-controlled constant current source generates a corresponding driving current according to the input analog voltage signal. The PWM generator generates a pulse width modulation signal for controlling the switching state of the H-bridge switch. The H-bridge switch controls the channel and on-off frequency of the driving current input to the electrical stimulation electrode based on the received pulse width modulation signal; Driven by the electrical stimulation driving module, the electrical stimulation electrodes can generate four stimulation forms: direct current, sinusoidal wave, triangle wave, and square wave. The current intensity range of direct current stimulation is 0-2mA, and the frequency adjustment range of sinusoidal wave, triangle wave, and square wave is 1Hz-100Hz. The positive and negative poles of the two electrical stimulation electrodes can be controlled by the main control module to achieve periodic or non-periodic switching of the H-bridge switch. The stimulation form, waveform type, frequency, electrode polarity, and current parameters of the electrical stimulation electrodes can all be dynamically adjusted by the main control module according to brain fatigue status information.
4. The multi-physics field integrated mental fatigue adaptive relief device according to claim 1 is characterized by: The infrared laser lamp is a 1064nm wavelength laser; the infrared laser stimulation drive module includes a digital-to-analog converter and a power amplifier; the main control module is electrically connected to the digital-to-analog converter for outputting a control signal; the digital-to-analog converter converts the digital signal output by the main control module into an analog voltage signal and transmits it to the power amplifier; the power amplifier amplifies the current according to the input analog voltage signal and outputs it to the infrared laser lamp; under the drive of the infrared laser stimulation drive module, the infrared laser lamp can achieve dynamic power adjustment within the range of 5mW-300mW; the output power parameters of the infrared laser lamp are controlled in real time by the main control module based on the status information returned by the brain fatigue judgment model.
5. The multi-physics field integrated mental fatigue adaptive relief device according to claim 1 is characterized by: The OLED screen is a flexible organic light-emitting diode display screen, which is connected to the visible light stimulation drive module via a flexible cable. The visible light stimulation drive module is a dedicated display driver IC, which is electrically connected to the main control module and receives the control signal output by the main control module. The display driver IC converts the control signal of the main control module into a corresponding drive signal to control the display state of the OLED screen. The OLED screen can emit visible light with a wavelength range of 390nm-780nm, a light flicker frequency adjustment range of 0-50Hz, and a brightness adjustment range of 1cd / m 2 -1000cd / m 2 ; The light emission wavelength, flickering frequency and brightness parameters of the OLED screen are all controlled in real time by the main control module based on the status information returned by the brain fatigue judgment model.
6. The multi-physics field integrated mental fatigue adaptive relief device according to claim 1 is characterized by: The stereo sound system includes independent left-channel and right-channel speakers, which are connected to the sound stimulation driving module via an audio connection line; the sound stimulation driving module includes a dual-channel digital-to-analog converter and a dual-channel power amplifier; the main control module is electrically connected to the dual-channel digital-to-analog converter for outputting a control digital signal; the dual-channel digital-to-analog converter converts the digital signal output by the main control module into two analog audio signals respectively, and transmits them to the dual-channel power amplifier; the dual-channel power amplifier amplifies the two analog audio signals respectively and drives the left-channel and right-channel speakers to produce sound respectively; the sound intensity adjustment range of the left and right channels is 0-10W, and the sound stimulation frequency adjustment range is 4Hz-2000Hz; the sound stimulation driving module can make the left and right channels generate specific difference frequencies to achieve different sound stimulation effects; the sound intensity, sound stimulation frequency and difference frequency parameters of the stereo sound system are dynamically adjusted by the main control module according to the status information returned by the brain fatigue judgment model.
7. The multi-physics field integrated mental fatigue adaptive relief device according to claim 1 is characterized by: The EEG cap is an eight-channel EEG acquisition device, equipped with a reference electrode and a ground electrode, for improving the accuracy and stability of EEG signal acquisition; the EEG acquisition module includes an eight-channel analog-to-digital converter and an analog filter; the EEG cap is electrically connected to the analog filter via a shielded cable, and transmits the collected original EEG signal to the analog filter; the analog filter filters the original EEG signal, eliminates high-frequency noise and interference signals, and outputs a pre-processed analog EEG signal; the eight-channel analog-to-digital converter is connected to the analog filter, and converts the pre-processed analog EEG signal into a digital signal; the main control module is electrically connected to the eight-channel analog-to-digital converter, receives the converted digital EEG signal, and performs pre-processing operations such as amplification and baseline drift removal on it; The preprocessed EEG digital signal is transmitted to the brain fatigue judgment model through the communication module for analyzing the user's brain fatigue status; the sampling frequency range of the EEG acquisition module is 250Hz-4000Hz, and the sampling accuracy is 16-24 bits, which can be set by the main control module according to actual acquisition requirements.
8. The multi-physics field integrated mental fatigue adaptive relief device according to claim 1 is characterized by: The main control module includes an SPI communication bus, an IIC communication bus, a DSP unit, a serial port unit, a GPIO unit, and an RTOS unit. The SPI communication bus is used for control communication with the EEG acquisition module and the acoustic stimulation drive module; the IIC communication bus is used for control communication with the magnetic stimulation drive module, the electrical stimulation drive module, the infrared laser stimulation drive module, and the visible light stimulation module. The DSP unit, as the main control module's computing unit, is used to execute the EEG signal preprocessing algorithm, receive and analyze status information returned by the brain fatigue judgment model, and generate control parameters for each stimulation drive module based on this status information. The serial port unit is used for data transmission between the main control module and the communication module, enabling EEG signals to be uploaded to the brain fatigue judgment model and receiving returned information. The GPIO unit is electrically connected to the power management module and drives the switch circuit within the power management module by outputting high-level or low-level control signals, thereby turning power on and off for each module. The RTOS unit, as a real-time operating system, is used to coordinate the operating timing of each unit in the main control module, ensuring the real-time and accuracy of operations such as EEG signal processing and stimulation parameter adjustment, thereby achieving efficient management and control of the entire device.
9. A method for adaptively relieving mental fatigue by integrating multiple physical fields, characterized in that: The method is implemented by using the multi-physics field integrated mental fatigue adaptive relief device according to any one of claims 1 to 8, and the method comprises the following steps: Step 1: After the device is turned on, the power management module starts to supply power to the main control module; Step 2: The main control module starts the EEG acquisition module and collects EEG signals through the EEG cap at a sampling frequency of 1000 Hz and a sampling accuracy of 24 bits. The DSP unit in the main control module performs pre-processing such as filtering, amplification, and baseline drift removal on the raw EEG signals, and then transmits the data to the communication module through the serial port unit. The communication module encapsulates and packages the data according to the protocol and then transmits it to the brain fatigue judgment model. Step 3: After receiving the EEG data, the brain fatigue judgment model uses time domain and frequency domain analysis methods to extract eigenvalues, and inputs the eigenvalues into the random forest model; Step 4: The random forest model outputs brain fatigue status information and transmits it back to the main control module through the communication module; Step 5: After receiving the brain fatigue status information, the main control module controls the power management module to turn on the power of the corresponding stimulation drive module through the GPIO unit according to the preset mapping relationship; at the same time, the main control module configures the parameters of each stimulation drive module through the SPI communication bus, IIC communication bus and other interfaces based on the brain fatigue status information; Step 6: Each stimulation driving module drives the magnetic induction coil, the electrical stimulation electrode, the infrared laser light, the OLED screen, and the stereo sound system according to the configuration parameters to perform brain fatigue relief stimulation. After the stimulation continues for a preset period of time, the main control module controls the power management module through the GPIO unit to turn off the power of the stimulation driving module, and then repeats steps 2 to 6 to achieve dynamic monitoring and adaptive relief of the user's brain fatigue status.
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