Reverse visual training device based on multispectral dynamic stimulation and training method thereof

Abstract

The invention relates to a reverse visual training device based on multispectral dynamic stimulation and a training method thereof. The training device comprises a display device and a hyperopia lens device, the display device comprises a main control board and a display screen which are connected with each other; the hyperopia lens device is of a replaceable lens structure design and is provided with a plurality of hyperopia lenses with different hyperopia degrees; the main control board is used for controlling the display screen to play dynamic sighting mark sequences of four colors of red, blue, green and white, and adjusting the display screen to display the dynamic sighting mark sequences according to a feedback result of a trainer; during visual training, the display screen is placed at a position which is a set distance away from a trainee, the trainee wears the hyperopia lens device and is provided with hyperopia lenses for setting hyperopia degrees, the main control board controls the display screen to play dynamic sighting mark sequences of four colors of red, blue, green and white, and the trainee carries out visual training by observing the dynamic sighting marks and carrying out feedback. According to the technical scheme, the naked eye visual training effect can be improved.

Description

Technical Field

[0001] This application relates to the field of visual health intervention technology, and in particular to a reverse vision training device and training method based on multispectral dynamic stimulation. Background Technology

[0002] Common vision training methods include concave lens correction, VR vision training, and fogging therapy. Concave lens correction is based on the principle of optical compensation, passively compensating for refractive errors. Long-term wear may aggravate ciliary muscle stiffness and accelerate accommodative degeneration. VR vision training methods rely heavily on close-range vision training devices (such as VR and mobile apps). Since close-range vision training easily aggravates accommodative spasm, it cannot simulate the relaxation effect of looking into the distance, and virtual distance cannot trigger the lens's natural accommodation. Fogging therapy stimulates accommodative relaxation through blurred imaging with farsighted glasses. It lacks dynamic feedback, standardized and quantifiable training tools, and can easily cause dizziness when looking at close objects. Single static stimulation is difficult to activate neuroplasticity.

[0003] Therefore, it is necessary to improve the technical deficiencies of the existing vision training programs to enhance the effectiveness of vision training. Summary of the Invention

[0004] To address one of the aforementioned shortcomings, this application provides a reverse vision training device and method based on multispectral dynamic stimulation, which can improve the effectiveness of vision training.

[0005] A reverse vision training device based on multispectral dynamic stimulation includes: a display device and a farsighted lens device;

[0006] The display device includes a main control board and a display screen connected together;

[0007] The farsighted lens device is designed with a replaceable lens structure and is equipped with multiple farsighted lenses of different farsightedness degrees.

[0008] The main control board is used to control the display screen to play dynamic visual target sequences of red, blue, green and white colors, and to adjust the display screen to display the dynamic visual target sequences according to the feedback results of the trainees;

[0009] During vision training, the display screen is placed at a set distance from the trainee. The trainee wears the farsighted lens device and is equipped with farsighted lenses of a set farsightedness degree. The main control board controls the display screen to play a dynamic visual target sequence of red, blue, green and white. The trainee conducts vision training by observing the dynamic visual target sequence and providing feedback.

[0010] In one embodiment, the display screen includes: a PWM dimming circuit, and a red LED array, a green LED array, and a blue LED array connected to the PWM dimming circuit; wherein the blue LED array is provided with an optical diffusion layer.

[0011] In one embodiment, the main control board controls the red LED array, green LED array, and blue LED array to display a dynamic visual target sequence in a random alternating cycle of red→blue→green→white→red via a PWM dimming circuit, and adjusts the duty cycle of the blue LED array.

[0012] In one embodiment, the hyperopic lens device uses a hyperopic lens adapted to the trainee's myopia degree, wherein the hyperopic degree of the hyperopic lens and the myopia degree satisfy a non-linear mapping relationship.

[0013] In one embodiment, the hyperopia power and myopia power of the hyperopic lens satisfy a non-linear mapping relationship as follows:

[0014] D1 = D0 × (0.3 + 0.4 × e) 0.2t )

[0015] Where t represents the number of training weeks, D0 represents the degree of myopia, and D1 represents the degree of hyperopia of the hyperopic lens.

[0016] In one embodiment, the inverse vision training device based on multispectral dynamic stimulation further includes: a feedback device for receiving feedback results input by the trainee when observing the dynamic optotype sequence and sending them to the control panel.

[0017] In one embodiment, the target sequence is an E-target;

[0018] The dimensions of the E-target are scaled proportionally to the ISO 8596 standard.

[0019] Each level is displayed in a progressively smaller scale, and each level is set to display for a set duration.

[0020] In one embodiment, the wavelength of the red light is 650 nm, the wavelength of the blue light is 470 nm, and the wavelength of the green light is 530 nm.

[0021] The pixel pitch of the E-target is ≤1.5mm;

[0022] The display device is placed 50 meters away from the trainee;

[0023] The duty cycle of the LED array ranges from 15% to 30%.

[0024] The hyperopia range of the hyperopia lens is +0.5D to +3.0D.

[0025] A training method for the aforementioned inverse vision training device based on multispectral dynamic stimulation, comprising:

[0026] The trainee undergoes an initial vision test to determine the degree of myopia, and a hyperopic lens that matches the degree of myopia is inserted into the hyperopic lens device.

[0027] The display screen is placed at a set distance from the trainee, who wears farsighted lenses and watches the dynamic visual target sequence displayed on the screen.

[0028] Trainees perform vision training according to preset training methods, identify dynamic visual target sequences on the display screen, and send the results back to the main control board.

[0029] During the training period, the parameters for hyperopia and displaying dynamic optotype sequences are adjusted based on the trainee's uncorrected visual acuity.

[0030] In one embodiment, the training method includes:

[0031] Select a level and perform level test training at the current level;

[0032] If an error occurs during training at the current level, repeat the test at the current level.

[0033] If the training feedback at the current level is correct, perform a color recognition test at the current level.

[0034] If errors occur in the color test feedback, strengthen the test training for the weak color and count the number of errors. When the number of errors exceeds the threshold, reduce the difficulty level.

[0035] If the color test feedback is correct, increase the current level and test again until the training time is completed.

[0036] The technical solution of the above embodiments provides a reverse vision training device based on multispectral dynamic stimulation, which includes a display device and a farsighted lens device; the display device includes a main control board and a display screen connected to each other; the farsighted lens device is designed with a replaceable lens structure and is equipped with multiple farsighted lenses of different farsightedness degrees; the main control board is used to control the display screen to randomly play a dynamic visual target sequence of red, blue, green, and white colors according to a set color light, and to adjust the display screen to display the dynamic visual target sequence according to the feedback results of the trainee; during vision training, the display screen is placed at a distance training distance. At a set distance, the trainee wears a farsighted lens device with a pre-defined farsightedness prescription. The main control board controls the display screen to play a dynamic visual target sequence in red, blue, green, and white. The trainee trains their vision by observing the dynamic visual target sequence and receiving feedback. This technical solution uses optical reverse engineering to construct an optometry negative feedback system through farsighted lenses and dynamic visual targets to train vision. It can forcibly activate the ciliary muscle to actively adjust, effectively correct myopia, and improve the effect of vision training. It is particularly suitable for myopia prevention and control in adolescents, rehabilitation of eye fatigue, and delaying the progression of myopia in adults.

[0037] Additional aspects and advantages of this application will be set forth in part in the description which follows, and will become apparent from the description or may be learned by practice of this application. Attached Figure Description

[0038] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0039] Figure 1 This is a schematic diagram of an example of a reverse vision training device based on multispectral dynamic stimulation.

[0040] Figure 2 This is a circuit block diagram of an example training device;

[0041] Figure 3 This is a schematic diagram of an example dynamic lookahead sequence;

[0042] Figure 4 This is a schematic diagram of an example inverse vision training device based on multispectral dynamic stimulation;

[0043] Figure 5 This is a flowchart of a training method for a reverse vision training device based on multispectral dynamic stimulation, according to one embodiment.

[0044] Figure 6 This is a flowchart of an example training method. Detailed Implementation

[0045] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0046] Those skilled in the art will understand that, unless otherwise stated, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms. It should be further understood that the word “comprising” as used in this application’s specification means the presence of the stated feature, integer, step, or operation, but does not preclude the presence or addition of one or more other features, integers, steps, or operations.

[0047] This application addresses the shortcomings of existing vision training technologies by proposing a reverse vision training scheme based on multispectral dynamic stimulation, referencing... Figure 1 As shown, Figure 1 This is a schematic diagram of an example of a reverse vision training device based on multispectral dynamic stimulation. Based on optical reverse engineering, it constructs an opto-optical negative feedback system by combining farsighted lenses with dynamic optotypes to forcibly activate the ciliary muscle to actively adjust.

[0048] like Figure 1 As shown, the inverse vision training device based on multispectral dynamic stimulation in this embodiment may include: a display device and a farsighted lens device; wherein, the display device includes a main control board and a display screen connected to each other; the farsighted lens device is designed with a replaceable lens structure and is equipped with multiple farsighted lenses of different farsightedness degrees; the main control board is used to control the display screen to play a dynamic visual target sequence of red, blue, green and white colors, and during playback, it can be played according to a set color light sequence, for example, in a random manner from large to small, thereby forming a better training effect; and adjust the display screen to display the dynamic visual target sequence according to the feedback results of the trainee.

[0049] During vision training, the display screen is placed at a set distance from the trainee, for example, about 50 meters away. The trainee wears the farsighted lens device and is equipped with farsighted lenses of a set farsightedness degree. The main control board controls the display screen to play a dynamic visual target sequence of red, blue, green and white colors. The trainee performs vision training by observing the dynamic visual target sequence and providing feedback.

[0050] Specifically, the display screen can generate a dynamic visual target sequence of red, blue, and green light in specific nanometer wavelengths. Optical negative feedback is constructed through farsighted lenses. The trainee wears farsighted glasses and looks into the distance to observe the dynamic visual target sequence, performing reverse correction. The farsighted lenses create a blurred image, stimulating the ciliary muscle to reverse accommodation, forcing the eye to relax accommodation to see the blurred dynamic visual target clearly. Various colors are alternately stimulated. Preferably, the wavelength of red light is 650nm, the wavelength of blue light is 470nm, and the wavelength of green light is 530nm. The above wavelengths of red, blue, and green light can differentially activate cone cells. Among them, red light can increase sensitivity, and blue light inhibits accommodation impulse, thereby stimulating the trainee's neural spectrum and forcibly activating the ciliary muscle to actively adjust, so as to conduct more effective vision correction training. For example, the time of each vision training session can be limited to 20 minutes.

[0051] Exemplary, the training apparatus of this embodiment refers to Figure 2 As shown, Figure 2 This is a circuit block diagram of an example training device. The main control board can be implemented using an STM32 microcontroller, and the display screen is an LED display screen. The display screen can be a Micro LED array (Micro Light Emitting Diode Display) with a color gamut coverage of ≥95% DCI-P3. The display screen may include a PWM (Pulse Width Modulation) dimming circuit, a red LED array, a green LED array, and a blue LED array. The PWM dimming circuit drives the red, green, and blue LED arrays to emit light, and the brightness of the red, green, and blue LED arrays can be adjusted by regulating the PWM duty cycle. Furthermore, the blue LED array has an optical diffusion layer, and the duty cycle of the blue LED array can be adjusted by the PWM dimming circuit to dynamically adjust the proportion of blue light.

[0052] For example, the brightness of the LED display screen can be 1500 cd / m2, with anti-glare dimming, and the switching frequency of each color of the dynamic target alternates once every 5 seconds.

[0053] For example, the parameters of the LED display screen can be as follows: voltage 24V, size 54.2×54.2 indoor P4 full color, thickness 3.8 cm, resolution 128×128, 10400mAh battery, and it can also be configured with an infrared remote control for control.

[0054] For example, the farsighted lens device adopts a quick-replacement lens design, which can provide multiple farsighted lens groups with a specific range of farsightedness. Trainees with different myopia can select the corresponding farsighted lenses for training according to the matching relationship.

[0055] As described in the above embodiments, the optical reverse engineering of a set of optometry negative feedback systems constructed by farsighted lenses and dynamic optotypes can train vision. It can forcibly activate the ciliary muscle to actively adjust, effectively correct myopia, and is especially suitable for myopia prevention and control, visual fatigue rehabilitation and delaying the development of myopia in adolescents (6-18 years old).

[0056] In one embodiment, the main control board controls the red LED array, green LED array, and blue LED array to display a dynamic target sequence in a random alternating cycle of red→blue→green→white (5500K)→red... via a PWM dimming circuit; for example, the duty cycle of the blue LED array can be further dynamically adjusted, preferably, the duty cycle range of the blue LED array can be controlled to be 15%-30%.

[0057] For example, such as Figure 3 As shown, Figure 3 This is a schematic diagram of an example dynamic optotype sequence. The optotype sequence in this embodiment uses the E optotype of the ISO8596 standard. When displayed, the size of the E optotype is scaled proportionally according to the ISO8596 standard (e.g., scaling ratio 1.2589), and the pixel pitch of the E optotype is ≤1.5mm (ensuring that it can be distinguished by 1.0 visual acuity at 50 meters). At the same time, each level is displayed in a progressively smaller manner, and the display time of each level is set. For example, a dynamic E optotype that is progressively smaller from 9 to 1 can be used. During training, vision training is carried out by displaying each level of E optotype step by step. The duration of each level can be adjusted (e.g., 5 seconds). The training is gradually increased according to the feedback of the trainee during vision training, thereby gradually restoring vision.

[0058] For example, key parameters for playing dynamic targets can be as follows:

[0059] Parameters Technical indicators Physiological function Minimum angle of the target 0.5' (corresponds to 2.0 visual acuity) Stimulation of the hypersensitive area of ​​the retina Blue light percentage 15%–30% dynamically adjustable Regulating dopamine secretion Light transmittance of farsighted lenses >92% (anti-blue light coating) Reduce shortwave damage

[0060] As described in the above embodiments, by combining farsighted lenses and dynamic E-targets with multispectral stimulation and alternating display of four colors (red, blue, green, and white), long-distance, dynamic, and step-by-step vision training is performed. This forces the eyes to adjust in the opposite direction, relieves ciliary muscle spasm, and enhances visual nerve sensitivity, thereby achieving a more effective vision training effect.

[0061] In one embodiment, the hyperopic lens device uses a hyperopic lens adapted to the trainee's myopia degree, wherein the hyperopic power and myopia degree of the hyperopic lens satisfy a non-linear mapping relationship; for example, the non-linear mapping relationship between the hyperopic power and myopia degree of the hyperopic lens can be as follows:

[0062] D1 = D0 × (0.3 + 0.4 × e) 0.2t )

[0063] Where t represents the number of training weeks, D0 represents the degree of myopia, D1 represents the degree of hyperopia from the hyperopic lens, and 0.3 + 0.4 × e 0.2t It is an exponential function of t, and the hyperopia degree of the hyperopic lens is nonlinearly mapped to 30%-70% of the myopia degree.

[0064] For example, a hyperopia prescription matching table can be shown in the following table:

[0065] Myopia degree (D) Haze apparent quantity (D) Hyperopia (D) -1.00 +0.75 +0.25 -2.00 +1.25 +0.75 -3.00 +1.50 +1.50 -4.00 +2.00 +2.00 -5.00 +2.25 +2.75 -6.00 +2.50 +3.50

[0066] Preferably, the range of hyperopia correction for the hyperopia lens group can be +0.5D to +3.0D.

[0067] In one embodiment, the inverse vision training device based on multispectral dynamic stimulation of this application, referencing Figure 4 As shown, Figure 4 This is a schematic diagram of an example inverse vision training device based on multispectral dynamic stimulation. It may also include a feedback device for receiving feedback results input by the trainee when observing dynamic optotype sequences and sending them to the control board. For example, the feedback device may adopt a remote control handle structure design and communicate with the main control board wirelessly. The trainee can feed back the observed dynamic optotype sequences to the main control board through the remote control handle.

[0068] The above are embodiments of the inverse vision training device based on multispectral dynamic stimulation of this application. Based on the above training device, this application also provides corresponding training methods, such as... Figure 5 As shown, Figure 5 This is a flowchart of a training method for a reverse vision training device based on multispectral dynamic stimulation, which mainly includes the following steps:

[0069] (1) Initial vision test is performed on the trainee to obtain the degree of myopia, and a hyperopic lens that matches the degree of myopia is inserted into the hyperopic lens device.

[0070] Specifically, before training, trainees undergo an initial vision test to determine their myopia degree. Based on the myopia degree, the appropriate hyperopia lens power is determined. The hyperopia degree is matched with 50%-70% of the myopia degree. For example, a 200-degree myopia patient wears +1.0D. Then, the appropriate hyperopia lens power is inserted into the hyperopia lens device.

[0071] (2) Place the display screen at a set distance from the trainee, the trainee wears farsighted lenses and looks at the dynamic visual target sequence displayed on the display screen in sequence.

[0072] Specifically, the trainee is about 50 meters away from the display screen, and wears farsighted lenses to look at the dynamic E-targets displayed on the screen in sequence.

[0073] (3) Trainees conduct vision training according to the preset training method, identify the dynamic visual target sequence on the display screen and send the feedback results to the main control board.

[0074] Specifically, training methods can be designed according to needs. Trainees conduct vision training according to preset training methods, identify dynamic visual target sequences on the display screen, and send the feedback results to the main control board for processing, thereby achieving different training effects.

[0075] In one embodiment, this application provides an adaptive weakness reinforcement training method. The algorithm can be executed by the main control board, which can intelligently analyze the color of the weakness and perform training in a downgraded manner when the identification error reaches the set condition, thereby achieving a more effective training effect.

[0076] refer to Figure 6 As shown, Figure 6 This is a flowchart of an example training method, including:

[0077] s1, select a level, and perform level test training at the current level.

[0078] s2, based on the feedback result, determine whether there is an error in the current level of target recognition. If so, execute s3; otherwise, execute s4.

[0079] s3, perform repeated testing at the current level.

[0080] s4, perform the color recognition test at the current level, and select the color to be tested for test training.

[0081] s5: Determine whether there is an error in the current color recognition based on the feedback result. If so, execute s6; otherwise, execute s10.

[0082] S6, strengthen the testing and training of weak color skills.

[0083] s7, counts the number of errors.

[0084] s8, check if the number of errors is greater than the threshold, such as whether the number of errors is greater than 3; if yes, execute s9, otherwise continue to execute s6.

[0085] s9, reduce the difficulty level, for example, reduce the difficulty level by 0.1.

[0086] S10, an upgrade to the level requiring testing and training.

[0087] s11: Determine if the training time has reached the threshold, for example, whether it has reached 20 minutes. If yes, execute s12; otherwise, go back to s1 to continue testing.

[0088] s12, save the training data.

[0089] The training method described in the above embodiment provides a training method that adjusts the optotype parameters in real time based on the trainee's error rate. It trains on optotypes at different levels and in various colors, and provides adaptive weakness reinforcement training. It can analyze the weak colors and fully activate the ciliary muscle and cone cells, thereby achieving a more effective training result.

[0090] (4) During the training period, adjust the degree of farsightedness and the parameters for displaying dynamic optotype sequences according to the trainee's uncorrected visual acuity.

[0091] Specifically, within a vision training cycle, the training is generally set at 10-15 minutes per day, and a training cycle is 3 months. During the training cycle, trainees regularly test their uncorrected visual acuity and adjust the appropriate hyperopic lenses according to the degree of myopia detected.

[0092] For example, after each training session, the main control board can upload the relevant data to the cloud, and the cloud platform can automatically generate user weakness analysis reports, etc. The trainer can access the cloud platform through the network to query relevant information.

[0093] The training method described in the above embodiments combines fogging therapy with dynamic visual targets, quantifies training progress, and makes the training process more scientific; it avoids the risks of drugs or surgery, has the advantage of being non-invasive, is suitable for schools, families or medical institutions, has controllable costs, and has higher scalability.

[0094] The training method described in this application has significant advantages compared to traditional fogging therapy. Below is a set of experimental data for comparison:

[0095] Group Adjust sensitivity enhancement Myopia progression in 3 months (D) Group A (n=30) 2.8±0.5cpd 0.12±0.15 Group B (n=30) 1.2±0.3cpd +0.25±0.21

[0096] Group A was the group that used the training method provided in this application for vision training, while Group B was the group that used traditional fogging therapy for vision training. The comparison shows that the training method of this application has advantages in both sensitivity improvement and myopia progress over 3 months, demonstrating more effective results.

[0097] In addition, the experimental data for the training method provided in this application are as follows:

[0098]

[0099] The experimental data above show that the training method provided in this application can improve uncorrected visual acuity by 100%, and is especially suitable for myopia prevention and control, visual fatigue rehabilitation and myopia delay in adults in adolescents (6-18 years old).

[0100] The above description is only a partial embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A reverse vision training device based on multispectral dynamic stimulation, characterized in that, include: Display devices and farsighted lens devices; The display device includes a main control board and a display screen connected together; The farsighted lens device is designed with a replaceable lens structure and is equipped with multiple farsighted lenses of different farsightedness degrees. The main control board is used to control the display screen to play dynamic visual targets in red, blue, green and white colors, and to adjust the display screen to display the dynamic visual targets according to the feedback results of the trainees; During vision training, the display screen is placed at a set distance from the trainee. The trainee wears the farsighted lens device and is equipped with farsighted lenses of a set farsightedness degree. The main control board controls the display screen to play a dynamic visual target sequence of red, blue, green and white. The trainee conducts vision training by observing the dynamic visual target sequence and providing feedback.

2. The reverse vision training device based on multispectral dynamic stimulation according to claim 1, characterized in that, The display screen includes: a PWM dimming circuit, and a red LED array, a green LED array, and a blue LED array connected to the PWM dimming circuit; wherein, the blue LED array is provided with an optical diffusion layer.

3. The reverse vision training device based on multispectral dynamic stimulation according to claim 1, characterized in that, The main control board controls the red LED array, green LED array, and blue LED array to display dynamic targets in a random alternating cycle of red→blue→green→white→red via a PWM dimming circuit, and adjusts the duty cycle of the blue LED array.

4. The reverse vision training device based on multispectral dynamic stimulation according to claim 1, characterized in that, The hyperopia lens device uses hyperopia lenses that are adapted to the trainee's myopia degree, and the hyperopia degree of the hyperopia lens and the myopia degree satisfy a non-linear mapping relationship.

5. The reverse vision training device based on multispectral dynamic stimulation according to claim 4, characterized in that, The hyperopia and myopia prescriptions of the aforementioned hyperopic lenses satisfy a non-linear mapping relationship as follows: D1=D0×(0.3+0.4×e 0.2t ) Where t represents the number of training weeks, D0 represents the degree of myopia, and D1 represents the degree of hyperopia of the hyperopic lens.

6. The reverse vision training device based on multispectral dynamic stimulation according to claim 1, characterized in that, Also includes: A feedback device is used to receive feedback results input by the trainee when observing the dynamic visual target sequence and send them to the control panel.

7. The reverse vision training device based on multispectral dynamic stimulation according to claim 3, characterized in that, The target sequence is an E-target; The dimensions of the E-target are scaled proportionally to the ISO 8596 standard. Each level is displayed in a progressively smaller scale, and each level is set to display for a set duration.

8. The reverse vision training device based on multispectral dynamic stimulation according to claim 1, characterized in that, The wavelength of the red light is 650nm, the wavelength of the blue light is 470nm, and the wavelength of the green light is 530nm. The pixel pitch of the E-target is ≤1.5mm; The display device is placed 50 meters away from the trainee; The duty cycle of the LED array ranges from 15% to 30%. The hyperopia range of the hyperopia lens is +0.5D to +3.0D.

9. A training method for the inverse vision training device based on multispectral dynamic stimulation as described in any one of claims 1-8, characterized in that, include: The trainee undergoes an initial vision test to determine the degree of myopia, and a hyperopic lens that matches the degree of myopia is inserted into the hyperopic lens device. The display screen is placed at a set distance from the trainee, who wears farsighted lenses and watches the dynamic visual target sequence displayed on the screen. Trainees perform vision training according to preset training methods, identify dynamic visual target sequences on the display screen, and send the results back to the main control board. During the training period, the parameters for hyperopia and displaying dynamic optotype sequences are adjusted based on the trainee's uncorrected visual acuity.

10. The training method of the inverse vision training device based on multispectral dynamic stimulation according to claim 9, characterized in that, The training method includes: Select a level and perform level test training at the current level; If an error occurs during training at the current level, repeat the test at the current level. If the training feedback at the current level is correct, perform a color recognition test at the current level. If errors occur in the color test feedback, strengthen the test training for the weak color and count the number of errors. When the number of errors exceeds the threshold, reduce the difficulty level. If the color test feedback is correct, increase the current level and test again until the training time is completed.

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