A mild cognitive impairment patient rehabilitation training device

Abstract

The present application relates to the field of medical equipment, in particular to a mild cognitive impairment patient rehabilitation training device, the present application comprises: a wearing device: the wearing device comprises a plurality of monitoring units, each monitoring unit is provided with a gyroscope and an inertial sensor, and the monitoring unit located on the arm is provided with an infrared spectrum detector; an indicator: used to issue a plurality of types of action training instructions to the patient, to guide the patient to perform action training, and to judge whether the patient completes the action training according to the standard; the action training includes a head contact action of the monitoring unit provided with the infrared spectrum detector adhering to the patient's head; the infrared spectrum detector is used to detect the concentration change of the patient's brain hemoglobin after adhering to the patient's head; the technical scheme of the present application is used to evaluate the brain activity level according to the concentration change of the brain hemoglobin, and evaluate the influence of each action training instruction on the brain activity level of the patient.

Description

Technical Field

[0001] This invention relates to the field of medical devices, specifically to a rehabilitation training device for patients with mild cognitive impairment. Background Technology

[0002] Mild cognitive impairment (MCI) is an intermediate state between normal aging and dementia; it is a cognitive disorder syndrome. Compared to age- and education-matched healthy adults, patients exhibit mild cognitive decline, but their daily living abilities are not significantly affected. The core symptom of MCI is cognitive decline, which, depending on the cause or location of brain damage, can affect one or more of the following: memory, executive function, language, cognitive abilities, and visuospatial skills, leading to corresponding clinical symptoms.

[0003] For patients with mild cognitive impairment (MCI), cognitive training can not only improve memory, executive function, attention, language, and overall cognitive function, but also alleviate depressive symptoms and other psychiatric symptoms. Studies on cognitive training for different subtypes of MCI show that cognitive training can significantly improve memory, language, and executive function in patients with amnesic MCI; multi-cognitive domain, adaptive computer-assisted cognitive training can significantly improve overall cognitive and language function in patients with vascular MCI. Cognitive training targeting working memory exhibits a significant transfer effect, significantly improving executive function and daily living abilities, with training effects lasting for more than three months.

[0004] Existing technologies, such as patent publication number CN118267579A, disclose a brain rehabilitation training device for mild cognitive impairment, which enhances training coverage by expanding sensory training. CN111081373A discloses a cognitive impairment training and assessment system and method, which evaluates training effectiveness by receiving user-submitted data from a cognitive impairment training assessment scale. CN115671706A discloses a VR game training system for cognitive impairment, which actively interacts with patients through a VR environment, providing users with more effective scene elements and achieving immersive VR game training. However, existing feedback on patient training results is often relatively simple, mostly consisting of simple right or wrong judgments, lacking in-depth analysis of the patient's cognitive processes and strategies. Summary of the Invention

[0005] To address the aforementioned problems, this invention provides a rehabilitation training device for patients with mild cognitive impairment. This device uses specific actions during training to bring a near-infrared spectroscopy detector into contact with the patient's brain. The device then uses the ratio of oxygenated to deoxygenated hemoglobin detected by the infrared spectroscopy detector to provide feedback on the patient's brain activity and to evaluate the training effect.

[0006] To achieve the above objectives, the technical solution of the present invention is as follows: a rehabilitation training device for patients with mild cognitive impairment, comprising:

[0007] Wearable device: The wearable device includes several monitoring units, each equipped with a gyroscope and an inertial sensor. The monitoring units are worn on different parts of the patient's body. The wearing location of the monitoring units includes the arm, and the monitoring units located on the arm are equipped with infrared spectral detectors.

[0008] Indicator: Used to issue several types of movement training instructions to the patient, directing the patient to perform movement training. Based on the detection data of the gyroscope and inertial sensor, it determines whether the patient has completed the movement training in a standard manner. The movement training includes head contact action of placing the monitoring unit equipped with an infrared spectral detector against the patient's head. The infrared spectral detector is used to detect the change in the concentration of hemoglobin in the patient's brain after it is placed against the patient's head.

[0009] Controller: Used to assess brain activity levels based on changes in brain hemoglobin concentration. The controller is also used to assess the impact of each movement training instruction on the patient's brain activity level based on the type of movement training instruction given before the head contact movement.

[0010] The above approach has the following beneficial effects:

[0011] 1. This program employs a dual-task cognitive-motor training approach to improve patients' cognitive abilities. The intervention method, combining cognitive and motor tasks, aims to improve an individual's cognitive function, motor control, and coordination by simultaneously performing both tasks. Patients wear a device on their body. The device's monitoring unit, based on gyroscopes and inertial sensors, collects spatial movements of the limbs and torso, thereby determining the position of each limb and assessing whether the patient has performed the training movements correctly.

[0012] 2. In this protocol, conventional brain activity testing typically involves collecting brainwaves using a helmet. However, this requires good contact with the acquisition patch, which is often altered by patient movement, affecting the effectiveness of the connection. Infrared spectroscopy, on the other hand, is a brain activity level detection method with lower contact requirements and can even perform non-contact information collection at a certain distance. Therefore, infrared spectroscopy is introduced into the training process to collect patient brain activity under various training commands and assess the training effect.

[0013] 3. In this approach, wearing a helmet may interfere with the patient's movement and cause anxiety. Therefore, based on movement training instructions, a head-contact action is constructed where a monitoring unit equipped with an infrared spectral detector is placed against the patient's head. This allows the patient to perform the head-contact action during training, ensuring the infrared spectral detector is in contact with their head, thereby monitoring their brain activity. This reduces movement interference caused by wearing a helmet, and the data collection process is integrated into the movement training, making it less likely for the patient to notice their brain activity being collected, effectively alleviating their anxiety during brain activity monitoring.

[0014] Furthermore, the assessment of the impact of each movement training instruction on the patient's brain activity level is as follows: The patient's training process is divided into several training segments, each consisting of several movement training instructions, and each training segment ends with a head contact movement training instruction. When the patient performs the head contact movement training at the end of the training segment, the change in cerebral hemoglobin concentration relative to the previous training segment is recorded. After completing each training segment, a system of equations is solved based on the changes in cerebral hemoglobin concentration corresponding to each training segment to obtain the coefficient of change in cerebral hemoglobin concentration caused by each movement training instruction.

[0015] Beneficial effects: Because head contact is required to perceive brain activity levels, obtaining individual training commands necessitates performing head contact every other command, which is overly deliberate and results in an excessively high frequency of head contact. Therefore, a training segment approach is adopted, with head contact performed only at the end of each segment to collect data on the patient's brain activity levels. Subsequently, a system of equations is established based on the changes in cerebral hemoglobin concentration corresponding to each training segment to determine the coefficient of change in cerebral hemoglobin concentration generated by each training command.

[0016] Furthermore, the controller is used to record the patient's age, educational background, cultural differences, and type and degree of cognitive impairment;

[0017] The controller is equipped with a BP neural network. The BP neural network is trained based on sample data of the patient's age, educational background, cultural differences, type and degree of cognitive impairment, and the impact of various action training instructions on the patient's brain activity level. The BP neural network is used to input the patient's age, educational background, cultural differences, type and degree of cognitive impairment, and output action training instructions that have an impact on the patient's brain activity level within a preset range.

[0018] Beneficial effects: The effects of different cognitive training methods vary among different patients. For example, for patients with higher levels of education, simple and basic training content may lack challenge and easily cause them to lose interest in training; while for patients with more severe cognitive impairment, complex training tasks may cause them to feel frustrated and affect their motivation to train.

[0019] Therefore, a backpropagation (BP) neural network is set up to train the patient based on the feedback of the impact of each action training instruction on the patient's brain activity level. This generates a mapping between the patient's age, educational background, cultural differences, type and degree of cognitive impairment and the impact of each action training instruction on the brain activity level. Based on the patient's information, the appropriate training method can be determined.

[0020] Furthermore, the indicator is a display, and it is also used to update the content of the motion training instructions.

[0021] Beneficial effects: The current training content remains fixed and cannot keep pace with the latest findings and advancements in cognitive science research. As research into cognitive function deepens, new training methods and concepts emerge continuously, but existing devices fail to integrate these new elements in a timely manner, limiting training effectiveness. Therefore, the indicator can update the training instructions to keep up with the latest scientific research findings and advancements.

[0022] Furthermore, the indicator is also used to configure action training instructions within each training segment based on a random number function during patient training.

[0023] Beneficial effects: Monotonous training methods can easily bore patients, making it difficult to maintain attention and engagement for extended periods. Therefore, each training session utilizes a random number function to configure the movement instructions for each training segment, increasing diversity.

[0024] Furthermore, all monitoring units include a buffer protective layer, and the gyroscope and inertial sensor are fixedly connected to the buffer protective layer.

[0025] Beneficial effects: During limb movement training, patients may fall due to loss of balance or improper operation. At this time, the monitoring unit worn can protect the patient through a buffer protective layer, reducing the harm suffered by the patient.

[0026] Furthermore, the action training instructions include action demonstrations, textual illustrations, and scenario derivations.

[0027] Beneficial effects: Motor training instructions can be further integrated into cognitive training, not limited to motor demonstrations. For example, motor training instructions can be given to patients by describing motor actions in words or by using objects to grasp objects and simulate objects to deduce motor actions.

[0028] Furthermore, the monitoring unit located on the arm includes a glove, with a cushioning protective layer covering the outside of the glove, a gyroscope and an inertial sensor fixedly connected to the back of the glove, and an infrared spectral detector fixedly connected to the palm of the glove.

[0029] Beneficial effects: Since head contact actions are mainly performed by touching the head with the hands, the monitoring unit equipped with the infrared spectrometer is a glove. The infrared spectrometer is fixedly connected to the palm side of the glove to facilitate head contact actions.

[0030] Furthermore, the head contact movement training includes movements that involve contacting the forehead, the back of the head, the sides of the brain, and the back of the head. The controller judges the activity level of the prefrontal cortex, parietal lobe, temporal lobe, and occipital lobe based on the contact position in the head contact movement and the changes in the concentration of hemoglobin in the brain.

[0031] Beneficial effects: Different brain regions change differently under different intellectual activities. For example, the prefrontal cortex is responsible for logical reasoning, while the parietal lobe is responsible for mathematical calculations and visual processing. Therefore, it is possible to further refine the contact points of head-contact actions, thereby refining the detection of brain activity.

[0032] Furthermore, the controller is also used to determine the type and degree of cognitive impairment of patients based on the standard of patients when completing movement training, the time to respond to different movement training instructions, the preset difficulty value of movement training instructions, and the concentration value of cerebral hemoglobin, and to record the patient's cognitive rehabilitation time curve.

[0033] Beneficial effects: The controller can integrate detection data from gyroscopes, inertial sensors, indicators, and infrared spectroscopy detectors to analyze the patient's performance in various aspects, enabling a comprehensive and integrated analysis of the patient.

[0034] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0035] Figure 1 This is a schematic diagram of an embodiment of the rehabilitation training device for patients with mild cognitive impairment according to the present invention;

[0036] Figure 2 A schematic diagram of the back of the hand of a glove in an embodiment of the rehabilitation training device for patients with mild cognitive impairment of the present invention;

[0037] Figure 3 A schematic diagram of the palm side of a glove in an embodiment of the rehabilitation training device for patients with mild cognitive impairment of the present invention;

[0038] Figure 4 This is a schematic diagram of signal connections for an embodiment of the rehabilitation training device for patients with mild cognitive impairment according to the present invention.

[0039] The reference numerals in the accompanying drawings include: 1. Wearer; 2. Indicator; 3. Controller; 4. Gyroscope; 5. Inertial sensor; 6. Glove; 7. Cushioning protective layer; 8. Infrared spectral detector. Detailed Implementation

[0040] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0041] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the 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.

[0042] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0043] The following detailed description illustrates the specific implementation method:

[0044] Example 1:

[0045] As attached Figures 1-4 As shown: A rehabilitation training device for patients with mild cognitive impairment, comprising:

[0046] Wearer 1: Wearer 1 includes several monitoring units, such as arm protectors, leg protectors, and gloves 6. Each monitoring unit is equipped with a gyroscope 4 and an inertial sensor 5. The monitoring units are worn on different parts of the patient's body. Each monitoring unit includes a buffer protective layer 7, and the gyroscope 4 and inertial sensor 5 are fixedly connected to the buffer protective layer 7.

[0047] Among them, for the glove 6 in the monitoring unit, the buffer protective layer 7 covers the outside of the glove 6, the gyroscope 4 and the inertial sensor 5 are fixedly connected to the back of the hand of the glove 6, and the infrared spectrometer 8 is fixedly connected to the palm of the glove 6. The specific location of the infrared spectrometer 8 can be the palm of the patient's hand or the inside of the wrist.

[0048] Indicator 2: Used to issue several types of movement training instructions to the patient, directing the patient to perform movement training. Based on the detection data of gyroscope 4 and inertial sensor 5, it determines whether the patient has completed the movement training correctly. The movement training includes a head contact action in which a monitoring unit equipped with an infrared spectrometer 8 is placed against the patient's head. The infrared spectrometer 8 is used to detect changes in the concentration of hemoglobin in the patient's brain after the unit is placed against the patient's head. Indicator 2 is a display screen.

[0049] Controller 3: Used to assess brain activity levels based on changes in brain hemoglobin concentration. Controller 3 is also used to assess the impact of each movement training instruction on the patient's brain activity level based on the type of movement training instruction given before the head contact movement.

[0050] A cognitive-motor dual-task training approach was employed to improve patients' cognitive abilities. This intervention method, combining cognitive and motor tasks, aims to improve an individual's cognitive function, motor control, and coordination by simultaneously performing both tasks. Patients wear a device 1 on their bodies. The monitoring unit of device 1, based on a gyroscope 4 and an inertial sensor 5, collects spatial movements of the limbs and torso, thereby determining the position of each limb and torso and assessing whether the patient has performed the training movements correctly.

[0051] Infrared spectroscopy is a method for detecting brain activity levels with lower contact requirements, and it can even collect information non-contactly within a certain distance. Therefore, it is introduced into training to collect patient brain activity under various training commands and evaluate training effectiveness. Near-infrared light in the 700-900nm wavelength range of the infrared spectrum is nearly transparent to human tissues, including skin, bones, and fat. Oxygenated and deoxygenated hemoglobin have a strong absorption capacity for infrared light. Therefore, by utilizing the difference in absorption rates between oxygenated and deoxygenated hemoglobin, I calculated the concentration changes of both, and thus the changes in cerebral hemoglobin concentration. When a specific brain region is active, the concentrations of oxygenated and deoxygenated hemoglobin change accordingly. By measuring these concentration changes, it is possible to reflect an increase in oxygen consumption in that specific brain region, thereby reflecting brain activity.

[0052] Wearing a helmet can interfere with a patient's movement and cause anxiety. Therefore, based on movement training instructions, a head-contact action is constructed where a monitoring unit equipped with an infrared spectrometer 8 is placed against the patient's head. During training, the patient can perform this head-contact action to bring the infrared spectrometer 8 into contact with their head, thereby monitoring their brain activity. This reduces movement interference caused by wearing a helmet, and the data collection process is integrated into the movement training, making it less likely for the patient to notice their brain activity being collected, effectively alleviating their anxiety during brain activity monitoring.

[0053] Since head contact is primarily achieved through hand contact with the head, the monitoring unit equipped with the infrared spectrometer 8 is a glove 6. The infrared spectrometer 8 is fixedly connected to the palm side of the glove 6 for convenient head contact. During limb movement training, patients may fall due to loss of balance or improper operation. In this case, the monitoring unit worn can protect the patient through the buffer protective layer 7, reducing the risk of injury.

[0054] The assessment of the impact of each movement training instruction on the patient's brain activity level is as follows: The patient's training process is divided into several training segments, each consisting of several movement training instructions, and each training segment ends with a head contact movement training instruction. When the patient performs the head contact movement training at the end of the training segment, the change in brain hemoglobin concentration relative to the previous training segment is recorded. After completing each training segment, a system of equations is solved based on the changes in brain hemoglobin concentration corresponding to each training segment to obtain the coefficient of change in brain hemoglobin concentration caused by each movement training instruction.

[0055] Because head contact is required to perceive brain activity levels, obtaining individual training commands would necessitate performing head contact every other command, which is overly deliberate and results in an excessively high frequency of head contact. Therefore, a training segment approach is adopted, with head contact performed only at the end of each segment to collect data on the patient's brain activity levels. Subsequently, a system of equations is established based on the changes in cerebral hemoglobin concentration corresponding to each training segment to determine the coefficient of change in cerebral hemoglobin concentration resulting from each training command.

[0056] Example 2:

[0057] The difference from the above embodiments is that the controller 3 is used to input the patient's age, educational background, cultural differences, and type and degree of cognitive impairment;

[0058] The controller 3 is equipped with a BP neural network. The BP neural network can use preset samples or collect data from the patient's training process as samples. The number of training samples is greater than 800, and the learning rate is 0.05. The BP neural network is trained based on the sample data of the patient's age, educational background, cultural differences, cognitive impairment type and degree, and the impact of each action training instruction on the patient's brain activity level. The BP neural network is used to input the patient's age, educational background, cultural differences, cognitive impairment type and degree, and output action training instructions that have an impact on the patient's brain activity level within a preset range.

[0059] The effects of different cognitive training methods vary among different patients. For example, for patients with higher levels of education, simple and basic training content may lack challenge and easily cause them to lose interest in training; while for patients with more severe cognitive impairment, complex training tasks may cause them to feel frustrated and affect their motivation to train.

[0060] Therefore, a backpropagation (BP) neural network is set up to train the patient based on the feedback of the impact of each action training instruction on the patient's brain activity level. This generates a mapping between the patient's age, educational background, cultural differences, type and degree of cognitive impairment and the impact of each action training instruction on the brain activity level. Based on the patient's information, the appropriate training method can be determined.

[0061] Example 3:

[0062] The difference from the above embodiment is that indicator 2 is also used to update the content of the motion training instructions. Indicator 2 is also used to configure the motion training instructions within each training segment based on a random number function during patient training. The motion training instructions include motion demonstrations, text illustrations, and scenario derivations.

[0063] The training content has remained fixed for a long time, failing to keep up with the latest findings and advancements in cognitive science research. As research into cognitive function deepens, new training methods and concepts are constantly emerging, but existing devices have failed to incorporate these new elements in a timely manner, resulting in limited training effectiveness. Therefore, indicator 2 can update the training instructions to keep pace with the latest scientific research findings and advancements.

[0064] Monotonous training methods can easily bore patients, making it difficult for them to maintain attention and engagement for extended periods. Therefore, during each training session, the movement instructions for each training segment are configured using a random number function to increase diversity.

[0065] Motor training instructions can be further integrated into cognitive training, and are not limited to motor demonstrations. For example, motor training instructions can be given to patients by describing motor actions in words, or by using objects to grasp objects and simulate objects to deduce motor actions.

[0066] Example 4:

[0067] The difference from the above embodiments is that the head contact action training includes actions of contacting the forehead, the back of the head, the side of the brain, and the back of the head respectively. The controller 3 judges the activity level of the prefrontal cortex, parietal lobe, temporal lobe, and occipital lobe based on the contact position in the head contact action and the change in the concentration of cerebral hemoglobin.

[0068] Different brain regions change differently under different intellectual activities. For example, the prefrontal cortex is responsible for logical reasoning, while the parietal lobe is responsible for mathematical calculations and visual processing. Therefore, it is possible to further refine the contact points of head-contact actions, thereby refining the detection of brain activity.

[0069] Example 5:

[0070] The difference from the above embodiments is that the controller 3 is also used to determine the type and degree of cognitive impairment of the patient based on the standard of the patient's completion of the movement training, the time of response to different movement training instructions, the preset difficulty value of the movement training instructions, and the concentration value of cerebral hemoglobin, and to record the patient's cognitive rehabilitation time curve.

[0071] The controller 3 can integrate the detection data from the gyroscope 4, inertial sensor 5, indicator 2 and infrared spectral detector 8 to analyze the patient's performance in various aspects, enabling a comprehensive and integrated analysis of the patient.

[0072] The above specific embodiments are merely explanations of the present invention and are not intended to limit the present invention. After reading this specification, those skilled in the art can make modifications to these embodiments without contributing any inventive step, but as long as they are within the scope of the claims of the present invention, they are protected by patent law.

Claims

1. A rehabilitation training device for patients with mild cognitive impairment, characterized in that, include: Wearer (1): The wearer (1) includes several monitoring units, each of which is equipped with a gyroscope (4) and an inertial sensor (5). The monitoring units are used to be worn on different parts of the patient's body. The monitoring unit includes a glove (6), and the palm side of the glove (6) is equipped with an infrared spectral detector (8). Indicator (2): Used to issue several types of movement training instructions to the patient, directing the patient to perform movement training. Based on the detection data of the gyroscope (4) and the inertial sensor (5), it determines whether the patient has completed the movement training in a standard manner. The movement training includes head contact movements in which a monitoring unit equipped with an infrared spectrometer (8) is placed against the patient's head; the infrared spectrometer (8) is used to detect changes in the concentration of hemoglobin in the patient's brain after the unit is placed against the patient's head. Controller (3): used to assess brain activity levels based on changes in brain hemoglobin concentration. Controller (3) is also used to assess the impact of each action training instruction on the patient's brain activity level based on the type of action training instruction given before the head contact action.

2. The rehabilitation training device for patients with mild cognitive impairment according to claim 1, characterized in that, The assessment of the impact of each movement training instruction on the patient's brain activity level is as follows: The patient's training process is divided into several training segments, each consisting of several movement training instructions, and each training segment ends with a head contact movement training instruction. When the patient performs the head contact movement training at the end of the training segment, the change in brain hemoglobin concentration relative to the previous training segment is recorded. After completing each training segment, a system of equations is set up based on the changes in brain hemoglobin concentration corresponding to each training segment to obtain the coefficient of change in brain hemoglobin concentration caused by each movement training instruction.

3. The rehabilitation training device for patients with mild cognitive impairment according to claim 2, characterized in that, The controller (3) is used to record the patient's age, educational background, cultural differences, and type and degree of cognitive impairment; The controller (3) is equipped with a BP neural network. The BP neural network is trained based on sample data of the patient's age, educational background, cultural differences, cognitive impairment type and degree, and the impact of each action training instruction on the patient's brain activity level. The BP neural network is used to input the patient's age, educational background, cultural differences, cognitive impairment type and degree, and output action training instructions that have an impact on the patient's brain activity level within a preset range.

4. The rehabilitation training device for patients with mild cognitive impairment according to claim 3, characterized in that, The indicator (2) is a display and is also used to update the content of the motion training instructions.

5. The rehabilitation training device for patients with mild cognitive impairment according to claim 4, characterized in that, The indicator (2) is also used to configure the action training instructions in each training segment based on a random number function during patient training.

6. The rehabilitation training device for patients with mild cognitive impairment according to claim 5, characterized in that, Each monitoring unit includes a buffer protection layer (7), and the gyroscope (4) and inertial sensor (5) are fixedly connected to the buffer protection layer (7).

7. The rehabilitation training device for patients with mild cognitive impairment according to claim 6, characterized in that, The action training instructions include action demonstrations, textual illustrations, and scenario derivations.

8. The rehabilitation training device for patients with mild cognitive impairment according to claim 7, characterized in that, The monitoring unit includes a buffer protective layer (7) covering the outside of the glove (6), a gyroscope (4) and an inertial sensor (5) fixedly connected to the back of the hand of the glove (6), and an infrared spectral detector (8) fixedly connected to the palm of the glove (6).

9. The rehabilitation training device for patients with mild cognitive impairment according to claim 8, characterized in that, The head contact action training includes actions of contacting the forehead, the back of the head, the side of the brain and the back of the head respectively. The controller (3) judges the activity level of the prefrontal cortex, parietal lobe, temporal lobe and occipital lobe according to the contact position in the head contact action and the change in the concentration of hemoglobin in the brain.

10. The rehabilitation training device for patients with mild cognitive impairment according to claim 9, characterized in that, The controller (3) is also used to determine the type and degree of cognitive impairment of patients based on the standard of patients completing motor training, the time of response to different motor training instructions, the preset difficulty value of motor training instructions, and the concentration value of cerebral hemoglobin, and to record the patient's cognitive rehabilitation time curve.

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