A training system using electromagnetic waves

Abstract

The present invention relates to a training system assisted by electromagnetic waves, comprising: a model creation module, used for collecting brain wave signals of a trainee for analysis, and generating a reference brain wave component model and a real-time brain wave component model; a model comparison module, used for comparing the difference between the reference brain wave component model and the real-time brain wave component model, and generating a comparison result; a feedback control module, used for generating a control instruction according to the comparison result; a brain wave interference device, used for receiving the control instruction and running it to interfere with the brain waves of the trainee; the system has the function of monitoring the brain waves of the trainee in real time during the training process, thereby understanding the trainee's reception of the training content, and intervening in the brain waves of the trainee according to the monitoring result, thereby improving the training effect on the trainee.

Description

Technical Field

[0001] The present invention relates to the technical field of training systems, and in particular to a training system assisted by electromagnetic waves. Background Art

[0002] Existing intervention training relies too much on the judgment of therapists or trainers, has no accurate basis, and cannot directly intervene in the training process, which easily leads to poor training effects. For example, CN112259218A discloses an auditory stimulation training method for children with autism based on VR interactive technology. The trainees are trained through audio, but the audio cannot directly monitor the trainees in real time during the training process, and it is even more impossible to intervene in the trainees' brain waves based on the monitoring results to improve the effect of a single training session. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to overcome the defects in the prior art, thereby providing a training system assisted by electromagnetic waves.

[0004] To achieve the above object, the present invention adopts the following technical solutions:

[0005] A training system assisted by electromagnetic waves includes: a model creation module for collecting brain wave signals of a trainee for analysis and generating a baseline brain wave component model and a real-time brain wave component model; a model comparison module for comparing the differences between the baseline brain wave component model and the real-time brain wave component model and generating a comparison result; a feedback control module for generating control instructions based on the comparison result; and a brain wave interference device for receiving the control instructions and running them to interfere with the brain waves of the trainee.

[0006] Preferably, the model creation module includes: a brainwave acquisition unit, used to collect the trainee's initial brainwave signals and real-time brainwave signals during the trainee's rehabilitation training; a brainwave signal analysis unit, used to perform spectral analysis on the initial brainwave signals and the real-time brainwave signals, and establish the baseline brainwave component wave model and the real-time brainwave component wave model accordingly; a wireless transmission unit, used to transmit the initial brainwave signals and the real-time brainwave signals to the brainwave signal analysis unit.

[0007] Preferably, the model creation module further includes a time setting unit for setting the time for collecting the trainee's initial brain wave signal.

[0008] Preferably, it also includes a brain wave component model report display module, which includes: a brain wave partitioning unit, used to divide the brain wave signal into several component waves according to different waveform frequency intervals; a brain wave assignment unit, used to assign values ​​to the component waves according to their proportions and generate brain wave data; a brain wave display unit: used to generate and display brain wave graphics and model reports based on the brain wave data.

[0009] Preferably, it also includes a cave-type VR rehabilitation system, which includes a training room and VR equipment; the VR equipment is installed in the training room and is used to output a virtual training scene; the brain wave interference device is configured as an electromagnetic wave transmitting device and is installed in the training room, and is used to output an auxiliary interference magnetic field when the trainee is in the training room for rehabilitation training.

[0010] Preferably, the cave-type VR rehabilitation system further includes a storage module for storing at least one rehabilitation training program.

[0011] Preferably, the VR device includes a program acquisition module, a projection module, and a lidar interaction module; the VR projection module is used to output corresponding projection images and / or audio when the program acquisition module acquires the rehabilitation training program; the lidar interaction module is used to obtain interaction information of the trainee.

[0012] Preferably, the brain wave signal analysis unit includes a praat analysis unit and an audition analysis unit.

[0013] Compared with the prior art, the present invention has the following beneficial effects:

[0014] The above technical solution provides a rehabilitation training system assisted by electromagnetic waves, which uses a brain wave monitoring module to detect the trainee's initial brain wave signal and real-time brain wave model, and uses a data processing module to generate a baseline brain wave component model and a real-time brain wave component model. Therefore, during the training process, the difference between the real-time brain wave component model and the baseline brain wave component model can be detected in real time, and a comparison result can be generated. The control module can issue a control instruction based on the comparison result, so that the brain wave interference device can adjust the trainee's brain wave signal in time, which is further conducive to intervening in the trainee during the real-time training process, thereby enhancing the trainee's receiving ability, and thus helping to achieve better training results. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are 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.

[0016] Figure 1 This is a structural diagram of a rehabilitation training system assisted by electromagnetic waves provided by the present invention.

[0017] Figure 2 This is a flowchart of the use of a rehabilitation training system assisted by electromagnetic waves provided by the present invention.

[0018] Description of reference numerals:

[0019] 1. Model creation module; 11. Brainwave acquisition unit; 12. Brainwave signal analysis unit; 121. Praat analysis unit; 122. Audition analysis unit; 13. Wireless transmission unit; 2. Model comparison module; 3. Feedback control module; 4. Brainwave interference equipment; 5. VR rehabilitation system; 51. Training room; 52. VR equipment; 53. Storage module; 521. Program acquisition module; 522. Projection module; 523. LiDAR interaction module; 6. Brainwave component wave model report display module; 61. Brainwave partitioning unit; 62. Brainwave assignment unit; 63. Brainwave display unit. DETAILED DESCRIPTION

[0020] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all 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.

[0021] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0022] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0023] The embodiment of the present invention provides a training system using electromagnetic wave assistance, specifically including:

[0024] The model creation module 1 is used to collect the brain wave signals of the trainee for analysis and generate a baseline brain wave component model and a real-time brain wave component model. Specifically, the model creation module 1 includes a brainwave acquisition unit 11, a brainwave signal analysis unit 12 and a wireless transmission unit 13, wherein the brainwave acquisition unit 11 and the wireless transmission unit 13 are both installed in a micro wearable EEG headband, and the brainwave signal analysis unit 12 can be set in an external computer or other control device. During the training process, the trainee wears the micro wearable EEG headband throughout the whole process, so that the brainwave acquisition unit 11 can collect the trainee's brainwave signal and transmit it to the brainwave signal analysis unit 12 through the wireless transmission unit 13. Furthermore, the brainwave acquisition unit 11 obtains the trainee's initial brainwave signal before the training starts. The model creation module 1 also includes a time setting unit 14, which is used to set the time for collecting the trainee's initial brainwave signal, for example, setting the time for collecting the initial brainwave signal to 30 to 60 minutes; the brainwave acquisition unit 11 also obtains the trainee's real-time brainwave signal during the training process.

[0025] The brainwave signal analysis unit 12 is used to analyze the trainee's initial brainwave signal and real-time brainwave signal, and to generate a baseline brainwave component wave model and a real-time brainwave component wave model accordingly. Specifically, the brainwave signal analysis unit 12 includes a praat analysis unit 121 and an audition analysis unit 122. Before training begins, the praat analysis unit 121 and the audition analysis unit 122 can be used to perform spectrum analysis on the trainee's initial brainwave signal and establish a baseline brainwave component wave model after analysis; during training, the praat analysis unit 121 and the audition analysis unit 122 can be used to perform spectrum analysis on the trainee's real-time brainwave signal and establish a real-time brainwave component wave model after analysis.

[0026] It is worth noting that in order to make the EEG monitoring results more intuitive and to assist the trainer in understanding the situation of the trainee, the system also includes an EEG component wave model report display module 6, which includes: an EEG partitioning unit 61, which is used to divide the EEG signal into several component waves according to different waveform frequency intervals; an EEG value assignment unit 62, which is used to assign values ​​to the component waves according to their proportions and generate EEG data; and an EEG display unit 63: which is used to generate EEG graphics and model reports based on the EEG data. And display; specifically, according to existing scientific research results, human brain wave electrical signals can be roughly divided into five waveforms, namely α wave, β wave, γ wave, δ wave and θ wave. The baseline EEG component wave model and the real-time EEG component wave model can be created according to the above waveform classification, and each component wave can be assigned a value according to the proportion of each component wave in the model. The assigned data of each component wave can be consistent with the numerical value of the proportion of the component wave, and then the baseline EEG component wave model report and the real-time EEG component wave model report can be output in the form of quantitative data, and then the proportion of each component wave can be intuitively displayed.

[0027] The model comparison module 2 is used to compare the differences between the baseline EEG component wave model and the real-time EEG component wave model and generate a comparison result. Specifically, the model comparison module 2 can be set in an external computer or other control device and connected to the EEG signal analysis unit 12. The model comparison module 2 can perform analysis using common statistical methods such as t-test, chi-square test, and analysis of variance; in other real-time examples, the data comparison unit 22 can also use a two-dimensional comparison algorithm in the field of artificial intelligence to achieve this purpose. When the number of baseline model component waves is small, such as no more than 5, a simpler statistical method is preferred.

[0028] Feedback control module 3 is used to generate control instructions based on the comparison results. Specifically, feedback control module 3 can be set in an external computer or other control device and connected to model comparison module 2 and brain wave interference device 4. When model comparison module 2 generates a comparison result, it generates control instructions based on the comparison result to control the operation of brain wave interference device 4. Furthermore, according to existing scientific research results, beta waves (13-30 Hz) will increase significantly in the process of high wakefulness, concentration, and focus on learning. At this time, the frequency of higher-frequency gamma waves (25-100 Hz) will also be higher. Therefore, by increasing the beta wave and gamma wave components in the brain waves, a more focused learning state can be improved or maintained. That is, in this system, if the comparison results show that the proportion of beta wave and gamma wave components in the real-time brain wave component model is less than the proportion of beta wave and gamma wave components in the baseline brain wave component model, the feedback control module 3 can output a control instruction based on the comparison result. The control instruction can be an instruction to control the brain wave interference device 4 to issue a magnetic field emission, so that the brain wave interference device 4 generates an interference magnetic field with specific parameters, for example: a low-frequency magnetic field that can induce more beta waves and gamma waves, interfere with the changes in the brain waves of the trainee, increase the proportion of beta waves and gamma waves, and then assist the trainee in training, so that the training effect is better.

[0029] Specifically, the brainwave interference device 4 can be set to a variety of structures as long as it can interfere with the brainwaves of the trainee.

[0030] In one embodiment, the brainwave interference device 4 can be set as a magnetic field transmitting device, which can output a magnetic field with a frequency of 0.1 to 100 Hz and a resolution of 0.1 Hz, and is equipped with a standard 2-channel EMG amplifier, wherein the magnetic field emission modes include single emission, continuous emission and combined emission. Setting the brainwave interference device 4 as a magnetic field transmitting device can achieve non-invasive and painless intervention, and can directly intervene in the physiological activities of the trainee, especially the secretion of neurotransmitters in the brain, which is beneficial to the improvement of pathological mechanisms. This interference method is effective and safe.

[0031] In other embodiments, the brainwave interference device 4 can also be set as a head-mounted electrical stimulation ring. For example, the trainee wears many microelectrodes on his head to receive micro-electrical stimulation. The electrical stimulation will also generate a magnetic field with specific parameters, thereby affecting the brain activity of the trainee.

[0032] It is worth noting that the rehabilitation training system assisted by electromagnetic waves also includes: a cave-type VR rehabilitation system 5, which includes a training room 51 and a VR device 52. The VR device 52 is installed in the training room 51 and is used to output a virtual training scene; specifically, the VR device 52 can be set to 1, 2 or more. When it is set to 4, it can be installed on the four walls of the training room 51, so that the output training room 51 generates a virtual space, so that the trainees do not need to wear any VR devices, such as VR glasses, to experience the feeling of being in a virtual space for training, reducing the problems of wearing VR devices causing the trainees to be inconvenient to move and prone to dizziness. In addition, the VR device 52 is set in the training room 51 to train the trainees, and one-on-one training can be carried out to avoid the influence of therapists or other personnel on the trainees.

[0033] In order to further enhance the experience during training and reduce the problem of restricted movement of trainees due to wearing equipment, the present application also provides an embodiment of the use of a brain wave interference device 4. Specifically, the brain wave interference device 4 is installed in the training room 51 to output an auxiliary interference magnetic field when the trainee is undergoing rehabilitation training in the training room 51. Compared with wearable brain wave interference devices, the brain wave interference device 4 in the present application is directly installed in the training room 51, which can achieve the purpose of interfering with the brain waves of the trainee without causing the problem of excessive weight caused by the trainee wearing too many devices and affecting the trainee's free movement for a long time. It is more conducive to the trainee immersing himself in the virtual space output by the VR device 52 for training, so that the training effect is better.

[0034] It is worth noting that in order to increase the scalability of the system and enable the system to be oriented towards training for a variety of developmental disorders, such as cognitive training, pronunciation training, etc., the cave-type VR rehabilitation system 5 in the system also includes a storage module 53 for storing 1, 2 or more rehabilitation training programs, specifically, training programs such as Lin's six-tone training for hearing and speaking disorders, auditory situation awareness game "Kitten Fishing", and social simulation games for autism spectrum disorders; further, the rehabilitation training program in the storage module 53 can be updated and iterated by re-importing or replacing the storage module 53 after formatting, so as to provide the latest rehabilitation training program for the system, and exclusive training content can also be set according to specific trainees.

[0035] Furthermore, the VR device 52 includes a program acquisition module 521, a projection module 522, and a lidar interaction module 523; the VR projection module 522 is used to output corresponding projection images and audio when the program acquisition module 521 acquires the rehabilitation training program, and can also output separate projection images or audio. The projection images include but are not limited to static recognition images, dynamic images, virtual character images, etc., and the audio includes but is not limited to music, pinyin pronunciation, etc.; the lidar interaction module 523 is used to obtain the trainee's interaction information, and the interaction information can be but is not limited to the trainee selecting actions based on the projection images, pronouncing according to the projection images, etc. For example, in virtual social games and voice recognition training, the trainee needs to shake hands with the virtual character or choose the correct voice. At this time, the trainee only needs to reach out and tap the virtual picture on the wall to achieve interaction; this is convenient for the therapist to understand the trainee's training status in real time; the interaction information can be fed back to the VR device 52, and then control the program acquisition module 521 to control repeated playback or acquisition of remaining training programs.

[0036] like Figure 2As shown, the system is used in the following steps: a model creation step, which includes collecting the trainee's brain wave signal for analysis, generating a baseline brain wave component model and a real-time brain wave component model; specifically, the specific process is: the trainee wears a micro wearable EEG headband, and uses the brain wave collection unit 11 installed in the micro wearable EEG headband to stick close to the trainee's head; before the trainee starts training, the brain wave collection unit 11 is used to collect the trainee's initial brain wave signal, and the initial brain wave signal is wirelessly transmitted to the brain wave signal analysis unit 12 through the wireless transmission unit 13, and the praat analysis unit 121 and the audition analysis unit 122 are used to perform spectrum analysis on the trainee's initial brain wave signal, and generate a baseline brain wave component model. In order to make the generated baseline brain wave component model more accurate, this process lasts for 30 to 60 minutes; then the trainee is placed in the training room 51 , and uses VR equipment 52 to output the corresponding training program in the training room 51, controlling the projection module to project at least one of the image and audio for training the trainee. During the trainee's training, the laser radar interaction module 523 can also be used to obtain the trainee's interaction information and generate a control signal. During this process, the program acquisition module receives the control signal to achieve repeated playback or replacement of the training program, which can not only test the trainee's learning status, but also increase the interest of the training and avoid the problem of single training easily causing trainee fatigue. Finally, during the trainee's training, the brainwave acquisition unit 11 collects the trainee's real-time brainwave signals, and wirelessly transmits the real-time brainwave signals to the brainwave signal analysis unit 12 via the wireless transmission unit 13. The praat analysis unit 121 and the audition analysis unit 122 perform spectrum analysis on the trainee's real-time brainwave signals and generate a real-time brainwave component wave model. This also includes using a model comparison module to compare the differences between the baseline brainwave component wave model and the real-time brainwave component wave model and generate a comparison result. It also includes a feedback control step, specifically: generating a control instruction based on the comparison result, controlling the operation of the brain wave interference device, and interfering with the brain waves of the trainee. Specifically, the feedback control module 3 generates a control instruction based on the comparison result, controls the brain wave interference device 4 to output a magnetic field, interferes with the brain waves of the trainee, and then adjusts the training state of the trainee, specifically to increase the proportion of the trainee's beta waves and gamma waves, which is conducive to the transmission of training information to the trainee, thereby improving the training effect of the trainee.

[0037] The above embodiments are only preferred embodiments of the present invention and cannot be used to limit the scope of protection of the present invention. Any non-substantial changes and replacements made by technicians in this field on the basis of the present invention fall within the scope of protection required by the present invention.

Claims

1. A training system using electromagnetic waves, characterized in that: include: The model creation module is used to collect the trainee's brain wave signals for analysis and generate a baseline brain wave component model and a real-time brain wave component model; A model comparison module, for comparing the difference between the reference EEG component wave model and the real-time EEG component wave model, and generating a comparison result; A feedback control module, configured to generate a control instruction according to the comparison result; A brainwave interference device, configured to receive the control instructions and run to interfere with the brainwaves of the trainee; The model creation module includes: The brain wave acquisition unit is used to collect the trainee's initial brain wave signals and real-time brain wave signals during the trainee's rehabilitation training; an EEG signal analysis unit, configured to perform spectrum analysis on the initial EEG signal and the real-time EEG signal, and to establish the reference EEG component wave model and the real-time EEG component wave model accordingly; a wireless transmission unit, configured to transmit the initial brainwave signal and the real-time brainwave signal to the brainwave signal analysis unit; The model creation module also includes a time setting unit for setting the time for collecting the trainee's initial brain wave signal; It also includes an EEG component wave model report display module, which includes: A brainwave partitioning unit is used to divide the brainwave signal into several component waves according to different waveform frequency intervals; A brain wave assignment unit, configured to assign values ​​to the component waves according to their proportions and generate brain wave data; Brainwave display unit: used to generate and display brainwave graphs and model reports based on the brainwave data; Also included is a cave-type VR rehabilitation system, which includes a training room and VR equipment; The VR device is installed in the training room and is used to output a virtual training scene; The brainwave interference device is configured as an electromagnetic wave transmitting device and is installed in the training room, and is used to output an auxiliary interference magnetic field when the trainee is in the training room for rehabilitation training.

2. The electromagnetic wave-assisted training system according to claim 1, characterized in that: The cave-type VR rehabilitation system also includes a storage module for storing at least one rehabilitation training program.

3. The electromagnetic wave-assisted training system according to claim 1 or 2, characterized in that: The VR device includes a program acquisition module, a projection module, and a laser radar interaction module; The projection module is used to output corresponding projection images and / or audio when the program acquisition module acquires the rehabilitation training program; The laser radar interaction module is used to obtain interaction information of the trainee.

4. The electromagnetic wave-assisted training system according to claim 1, characterized in that: The brain wave signal analysis unit includes a praat analysis unit and an audition analysis unit.

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