CN114470635B - Rehabilitation training system and method based on active feedback - Google Patents

Abstract

The invention discloses a rehabilitation training system and method based on active feedback. The rehabilitation training system includes a walking ability training module, a nerve fatigue feature collection module, a limb fatigue feature collection module and an information processing module. The nerve fatigue Both the feature acquisition module and the limb fatigue feature acquisition module are connected to the walking ability training module, and are used to acquire brain electromyographic signals, electromyographic signals of related muscles and gait information during the process of using the walking ability training module. The rehabilitation training system monitors the user's exercise process in real time based on the EEG signals of the patient during exercise, the EMG signals of related muscles, and gait information, and judges the user's brain fatigue based on various evaluation index data collected by the system. The degree of muscle fatigue and the degree of muscle fatigue, and feedback control of sports parameters based on the judgment results, can avoid sports injuries and sports cramps for users.

Description

A rehabilitation training system and method based on active feedback

technical field

The invention relates to the field of rehabilitation equipment, in particular to a rehabilitation training system and method based on active feedback.

Background technique

"Stroke" is also called "stroke" or "cerebrovascular accident". It is an acute cerebrovascular disease, which is a group of diseases caused by the sudden rupture of blood vessels in the brain or the inability of blood to flow into the brain due to vascular obstruction, including ischemic and hemorrhagic stroke. The ability to treat cerebrovascular diseases has been significantly improved, and the mortality rate has been greatly reduced, but the disability rate has relatively increased, resulting in obstacles in speech, swallowing, cognition, motor ability, walking ability, etc., especially limb motor function. Obstacles seriously affect the recovery of walking ability and activities of daily living. Therefore, the recovery of walking ability is of great significance to the improvement of the activities of daily living and the quality of life of hemiplegic patients.

The rehabilitation of limb motor dysfunction caused by stroke requires a long period. Therefore, scientific and systematic guidance is needed in the rehabilitation training process. At present, the rehabilitation training system for stroke patients has the following problems: First, the training system The pertinence is poor, and targeted guidance cannot be made according to the individual patient, resulting in the phenomenon of transition or insufficient exercise in the training process of the patient, which affects the rehabilitation effect of the patient; second, the intelligence of the training system is low and can be The adjustment is poor, and the training plan is often given by the system, and the patient accepts it passively, and cannot be adjusted according to the real-time status of the patient's training process. It is mechanically strong, and the adjustable range is small, which cannot meet the needs of patients for systematic training; 3. It is because the supervision during the training process is not strong enough. Due to the long recovery period and the low participation of professionals in the training process, the patients are mostly carried out in an independent state during the training process, which is prone to exercise-induced fatigue and injury, which is not conducive to the health of the patients. Recovery, for this reason, we propose a rehabilitation training system and method based on active feedback.

Contents of the invention

The main purpose of the present invention is to provide a rehabilitation training system and method based on active feedback, which can effectively solve the problems in the background technology.

In order to achieve the above object, the technical solution adopted by the present invention is: a rehabilitation training system based on active feedback, the rehabilitation training system includes a walking ability training module, a nerve fatigue feature acquisition module, a limb fatigue feature acquisition module and information Processing module, wireless communication between the walking ability training module and the information processing module, the neural fatigue feature quantity collection module and the limb fatigue feature quantity collection module are all connected to the walking ability training module, and are used to obtain the patient's walking ability respectively During the training module, the electromyographic signals of the brain, the electromyographic signals of the relevant muscles and the gait information are sent to the information processing module through the communication cable.

The walking ability training module includes a body group, an identity information identification module, a gait training mechanism, a walking training mechanism and an upper limb swing training mechanism, and the identity information identification module is installed on the front side of the body group for identifying and storing user identity Information and training data information, the gait training mechanism is installed on the upper side of the body group for the correction of hemiplegic gait, the walking training mechanism is installed inside the body group for training the patient's walking ability, the upper limb swing The mechanism is installed on both sides of the gait training mechanism, and is used for swing training of the upper limbs of the user during walking.

The neural fatigue feature quantity collection module is a wearable EEG signal collection device, which is used to obtain the EEG slow waves and EEG fast waves in the training process of the user, and calculate the collected EEG slow waves and EEG fast waves energy ratio.

The limb fatigue feature collection module includes sampling electrodes on the affected limb side, sampling electrodes on the control group and an electromyographic signal acquisition instrument, and the sampling electrodes on the affected limb side are used for collecting electromyographic signals of relevant muscles on the affected limb side during the user's exercise. , the sampling electrodes of the control group are used for collecting myoelectric signals of relevant muscles of the normal side of the limb during the user's exercise.

Further, the gait training mechanism includes a mounting frame, a mounting plate, a drive motor, a transmission mechanism, a linkage mechanism, a foot immobilizer and a plantar pressure acquisition sensor, the mounting frame is a hollow structure, and the mounting plate and The mounting frame is connected by bolts, the drive motor is installed inside the mounting frame, and drives the connecting rod mechanism to rotate reciprocally through the transmission mechanism, and the foot holder rotates with the connecting rod mechanism, and collects the pressure from the sole of the foot fixed at its end The sensor acquires the user's plantar pressure value.

Further, the upper limb swing training mechanism includes a telescopic rod, an armrest, a rotating shaft, a two-way torsion spring and a rotation angle sensor. The lower end of the telescopic rod rotates around the rotation shaft, and the telescopic rod is connected to the two-way torsion spring. The inner end face is used to detect the rotation angle of the rotating shaft.

Further, the transmission mechanism is a pulley transmission mechanism, and the link mechanism includes a connecting rod, a sleeve and a buffer spring, and the connecting rod and the buffer spring are symmetrically installed inside the sleeve and are slidably connected with the sleeve , and the connecting rod on one side is fixedly connected to the mounting plate, and the connecting rod on the other side is rotationally connected to the foot holder.

Further, the body group includes a base, a support frame and a limiter, the support frame is installed on the upper end of the base, and the support frame is a telescopic structure, the limiter is used to limit the position of the support frame, and the identity information identification The module includes a display, a recognition camera and a built-in wireless communication module, the display is installed on the inside of the support frame, the recognition camera and the built-in wireless communication module are installed inside the display, and the walking training mechanism includes symmetrically distributed Tracks, rollers, transmissions and drives.

Further, the frequency of the EEG slow wave is 4-8 Hz, and the frequency of the EEG fast wave is 13-40 Hz.

Further, the relevant muscles are gluteus maximus, iliopsoas, quadriceps, sartorius, hamstring, tibialis anterior, triceps calf, pectoralis major, brachioradialis, biceps brachii Muscle and flexor carpi radialis.

Further, the method of using the device includes the following steps:

Step 1: Use the recognition camera of the identity information recognition module to recognize the face of the user, read the stored training data according to the personal information, determine the training plan according to the stored training data, and adjust the driving motor in the walking ability training module according to the training plan and the operating parameters of the drive;

Step 2: Collect the plantar pressure value during the user's training process through the plantar pressure acquisition sensor of the walking ability training module, and obtain the EEG slow wave and EEG fast wave signals during the user's training process through the neural fatigue feature acquisition module , obtain the user's gluteus maximus, iliopsoas, quadriceps, sartorius, hamstrings, tibialis anterior, triceps calf, pectoralis major, brachioradialis, brachialis through the limb fatigue feature collection module EMG signals of related muscle groups such as biceps and flexor carpi radialis;

Step 3: Calculate the energy ratio of EEG slow waves and EEG fast waves through the information processing module to determine whether the user has mental fatigue, and analyze the collected muscle electrical signals to determine whether the user has physical fatigue. Based on the obtained analysis results, the information processing module sends different control commands to the drive motor and the driver to adjust the operating parameters of the drive motor and the driver.

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

1) The rehabilitation training system monitors the user's exercise process in real time based on the EEG signals of the patient during exercise, the EMG signals of related muscles, and gait information, and judges the user's physical fitness based on various evaluation index data collected by the system. The degree of brain fatigue and muscle fatigue, and feedback control of motion parameters according to the judgment results, has a high degree of intelligence, and can avoid sports injuries and sports convulsions of users at the same time;

2) The system can store the training data of different users, and give reasonable and scientific exercise guidance for users, so that patients can maintain a moderate amount of exercise, and can realize the monitoring of the entire exercise process through the collection of exercise data. Real-time supervision, strong adjustability, can meet the needs of different patients for systematic training, and is conducive to the rehabilitation of patients;

3) By setting the walking ability training module, the patient's walking ability and limb balance ability can be trained in different modes. The rotation angle sensor on the inner end surface of the rotating shaft can obtain the angle value of the patient's upper limb swing, combined with the patient's electromyography signal, can evaluate the patient's walking ability and walking gait, and facilitate targeted correction of the patient's hemiplegic gait. Help the patient regain the ability to walk.

Description of drawings

Fig. 1 is a system block diagram of the present invention;

Fig. 2 is the overall structural representation of walking ability training module of the present invention;

Fig. 3 is the exploded view of the walking ability training module of the present invention;

Fig. 4 is the explosion diagram of gait training mechanism of the present invention;

Fig. 5 is an exploded view of the linkage mechanism of the present invention.

In the figure: 1. walking ability training module; 11. body group; 111. base; 112. support frame; 113. limiter; 12. identity information identification module; 121. display; 122. identification camera; Communication module; 13, gait training mechanism; 131, installation frame; 132, installation plate; 133, drive motor; 134, transmission mechanism; 135, linkage mechanism; 135a, connecting rod; 135b, sleeve; 135c, buffer spring ; 136, foot immobilizer; 137, plantar pressure acquisition sensor; 14, walking training mechanism; 141, crawler belt; 142, rotating roller; 143, transmission device; 144, driver; Rod; 152, armrest; 153, rotating shaft; 154, two-way torsion spring; 155, rotation angle sensor; 2, nerve fatigue feature quantity collection module; 3, limb fatigue feature quantity collection module; 31, affected limb side sampling electrode; 32, control Group sampling electrodes; 33. Myoelectric signal acquisition instrument; 4. Information processing module.

Detailed ways

The present invention will be further described below in conjunction with specific embodiments, wherein, the accompanying drawings are only for exemplary illustrations, and what represent is only a schematic diagram, rather than a physical map, and cannot be interpreted as a limitation of the present invention. In order to better illustrate the present invention For specific embodiments, certain components in the drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product.

Example 1

As shown in Figure 1 and Figure 2, a rehabilitation training system and method based on active feedback, the rehabilitation training system includes a walking ability training module 1, a neural fatigue feature collection module 2, a limb fatigue feature collection module 3 and an information processing module 4. Wireless communication between the walking ability training module 1 and the information processing module 4, the nerve fatigue feature collection module 2 and the limb fatigue feature collection module 3 are connected to the walking ability training module 1, and are used to obtain the patient's walking ability respectively The brain electromyographic signal, the electromyographic signal of relevant muscles and the gait information during the training module 1, and the acquired information is sent to the information processing module 4 through the communication cable.

Walking ability training module 1 comprises body group 11, identity information recognition module 12, gait training mechanism 13, walking training mechanism 14 and upper limb swing training mechanism 15, and identity information recognition module 12 is installed in body group 11 front sides, is used for identification and Store user identity information and training data information. The gait training mechanism 13 is installed on the upper side of the body group 11 for the correction of hemiplegic gait. The walking training mechanism 14 is installed inside the body group 11 for training the patient's walking ability. The upper limb swing mechanism 15 is installed on both sides of the gait training mechanism 13, and is used for swing training of the user's upper limb during walking.

The neural fatigue feature collection module 2 is a wearable EEG signal collection device, which is used to obtain the EEG slow waves and EEG fast waves in the training process of the user, and calculate the ratio of the collected EEG slow waves and EEG fast waves. energy ratio.

The limb fatigue feature quantity collection module 3 includes the sampling electrode 31 on the affected limb side, the sampling electrode 32 of the control group and the electromyographic signal acquisition instrument 33, and the sampling electrode 31 on the affected limb side is used for the electromyographic signal of the relevant muscles on the affected limb side during the user's exercise. Acquisition, the sampling electrode 32 of the control group is used for the collection of myoelectric signals of the relevant muscles of the normal side of the limb during the user's exercise.

The EEG slow wave frequency is 4-8 Hz, and the EEG fast wave frequency is 13-40 Hz.

Associated muscles are gluteus maximus, iliopsoas, quadriceps, sartorius, hamstrings, tibialis anterior, triceps calf, pectoralis major, brachioradialis, biceps, and carpi radialis muscle.

By adopting the above technical scheme: during limb movement, muscle fiber activation will generate microvolt-level biological voltage, and superimposed on the skin surface to form a weak electrical signal, that is, surface electromyography signal, as a real-time objective response of the limb to nerve movement control, The surface EMG signal is often used to analyze the intention of the human body’s active movement. The integral EMG value is the sum of the area under the curve per unit time after the surface EMG signal is rectified and filtered, which can reflect the activity of the EMG signal. , studies have shown that with the deepening of muscle fatigue, metabolic acidification causes the accumulation of H ⁺ in muscle cells, which reduces the conduction velocity of muscle fiber action potentials and causes the surface EMG spectrum to shift to low frequency. Therefore, the surface EMG signal can be used The frequency value of the center position of the power curve reflects the degree of muscle fatigue. With the deepening of exercise fatigue, the frequency value of the center position of the surface EMG signal power curve shows a downward trend. On the other hand, in rehabilitation exercises, as the degree of exercise fatigue deepens, EEG slow waves (4-8 Hz waves) gradually increase, and fast waves (13-40 Hz waves) gradually decrease. Therefore, the energy ratio of slow waves and fast waves of EEG signals can be calculated, that is, the brain fatigue index. For the degree of brain fatigue, before the electrode is placed, the scalp must be blown clean, the skin surface must be wiped clean with alcohol, the sampling frequency is set to 1000Hz, and 50Hz notch wave processing is performed, and the noise interference of baseline drift is filtered out. The signal is band-pass filtered at 4-40 Hz, and the EMG signal is band-pass-filtered at 10-200 Hz to extract the effective frequency bands of the EEG signal and the EMG signal, and the user training process is obtained through the set nerve fatigue feature acquisition module 2 EEG slow wave and EEG fast wave signals, and send the acquired EEG signals to the information processing module 4 to calculate the brain fatigue index, and obtain the user's gluteus maximus, iliac Psoas, quadriceps, sartorius, hamstrings, tibialis anterior, triceps calf, pectoralis major, brachioradialis, biceps, and flexor and extensor carpi radialis muscles The signal is sent to the information processing module 4 through the data line, and the information processing module 4 judges the degree of brain fatigue and muscle fatigue during the user's exercise process through the calculated brain fatigue index and the center position frequency value of the surface electromyography signal power curve. Fatigue degree, when the user's brain fatigue degree increases but the muscle fatigue degree does not increase, it means that the user's muscle condition is in a good state, but the mental state appears slack. At this time, the operating parameters of the drive motor 133 and the driver 144 should be maintained. And an encouraging short film is played through the display 121 to help the user overcome the inner bad feelings and maintain a positive exercise state. When the user's brain fatigue degree does not increase but the muscle fatigue degree increases, it indicates that the user's limbs are already in an overloaded state. At this time, the information processing module 4 sends a control command to the drive motor 133 and the driver 144 to reduce the drive motor. 133 and the rotation speed of the driver 144, to reduce the user’s muscle conformity, avoid the user’s sports injury or muscle spasm, and at the same time, the sampling electrode 31 on the side of the affected limb and the sampling electrode 32 of the control group are provided to collect the user’s movement respectively. During the process, the EMG signals of the relevant muscles on the affected limb side can be compared with the EMG signals of the relevant muscles on the normal side of the limb, and the difference between the muscles on the normal side and the muscles on the affected limb side can be analyzed during the user’s exercise process. The placement of the limbs, the maintenance of the posture of the limbs in daily life and the design of the auxiliary correction equipment all have practical significance.

Example 2

As shown in Figures 1-5, a rehabilitation training system and method based on active feedback, the rehabilitation training system includes a walking ability training module 1, a neural fatigue feature collection module 2, a limb fatigue feature collection module 3 and an information processing module 4 , the wireless communication between the walking ability training module 1 and the information processing module 4, the nerve fatigue feature quantity collection module 2 and the limb fatigue feature quantity collection module 3 are all connected with the walking ability training module 1, and are respectively used to obtain the patient's walking ability training During the process of module 1, the electromyographic signals of the brain, the electromyographic signals of the relevant muscles and the gait information are sent to the information processing module 4 through the communication cable.

Walking ability training module 1 comprises body group 11, identity information recognition module 12, gait training mechanism 13, walking training mechanism 14 and upper limb swing training mechanism 15, and identity information recognition module 12 is installed in body group 11 front sides, is used for identification and Store user identity information and training data information. The gait training mechanism 13 is installed on the upper side of the body group 11 for the correction of hemiplegic gait. The walking training mechanism 14 is installed inside the body group 11 for training the patient's walking ability. The upper limb swing mechanism 15 is installed on both sides of the gait training mechanism 13, and is used for swing training of the user's upper limb during walking.

Gait training mechanism 13 comprises mounting frame 131, mounting plate 132, drive motor 133, transmission mechanism 134, link mechanism 135, foot immobilizer 136 and plantar pressure acquisition sensor 137, mounting frame 131 is a hollow structure, mounting plate 132 Connected with the mounting frame 131 by bolts, the driving motor 133 is installed inside the mounting frame 131, and drives the link mechanism 135 to rotate back and forth through the transmission mechanism 134, and the foot holder 136 rotates with the link mechanism 135, and is fixed on its end. The plantar pressure acquisition sensor 137 acquires the user's plantar pressure value.

Upper limb swing training mechanism 15 comprises telescopic link 151, armrest 152, rotating shaft 153, bidirectional torsion spring 154 and angle sensor 155, and telescopic link 151 lower end rotates around rotating shaft 153, and telescopic link 151 is connected with bidirectional torsion spring 154, and rotation angle sensor 155 is installed on The inner end surface of the rotating shaft 153 is used for detecting the rotation angle of the rotating shaft 153 .

The transmission mechanism 134 is a pulley type transmission mechanism. The link mechanism 135 includes a connecting rod 135a, a sleeve 135b and a buffer spring 135c. Both the connecting rod 135a and the buffer spring 135c are symmetrically installed inside the sleeve 135b and are slidably connected with the sleeve 135b. , and the link 135a on one side is fixedly connected to the mounting plate 132, and the link 135a on the other side is rotatably connected to the foot holder 136.

The body group 11 includes a base 111, a support frame 112 and a limiter 113. The support frame 112 is installed on the upper end of the base 111, and the support frame 112 is a telescopic structure. The limiter 113 is used for the limit of the support frame 112. The identity information identification module 12 comprises a display 121, a recognition camera 122 and a built-in wireless communication module 123, the display 121 is installed on the inside of the support frame 112, the recognition camera 122 and the built-in wireless communication module 123 are all installed inside the display 121, and the walking training mechanism 14 includes symmetrically distributed The crawler belt 141 on both sides of the frame 131, the roller 142, the transmission 143 and the drive 144.

By adopting the above-mentioned technical scheme: the walking ability training module 1 has the following training modes when in use: the first is the active training mode: the patient's feet are fixed inside the foot immobilizer 136, and the patient actively exerts force to drive the foot immobilizer 136 Movement, the patient's both hands can hold the handrail of body group 11, also can hold the handrail 152 of upper limb swing training mechanism 15 and do synchronous swing; The 2nd, passive training mode: patient's both feet are fixed in foot immobilizer 136 inside, drive motor 133 is energized to run, and drives the east link mechanism 135 to rotate back and forth through the transmission mechanism 134. At this time, the patient's lower limbs follow the foot immobilizer 136 to perform passive training; At the upper end, the driver 144 runs to drive the transmission 143 to rotate, and the transmission 143 drives the crawler belt 144 to rotate through the rotating roller 142. By controlling the rotation speed of the crawler belt 144, the patient's walking speed can be adjusted to help the patient to train the walking ability. During the patient's movement, the pressure value of the patient's sole is collected by the plantar pressure acquisition sensor 137, and the rotation angle sensor 155 installed on the inner end surface of the rotating shaft 153 is used to detect the rotation angle of the rotating shaft 153 to obtain the swing angle value of the patient's upper limbs. The patient's electromyographic signal can evaluate the patient's walking ability and walking gait, which is convenient for targeted correction of the patient's hemiplegic gait and helps the patient recover the walking ability.

It should be noted that the present invention is a rehabilitation training system and method based on active feedback. When in use, the recognition camera 122 of the identity information recognition module 12 performs facial recognition on the user, and reads the stored training data according to personal information. , and determine the training program according to the stored training data, and adjust the operating parameters of the drive motor 133 and the driver 144 in the walking ability training module 1 according to the training plan, and collect the user training process through the plantar pressure acquisition sensor 137 of the walking ability training module 1 In the plantar pressure value, the EEG slow wave and EEG fast wave signals in the user's training process are obtained through the nerve fatigue feature quantity collection module 2, and the user's gluteus maximus, iliac and lumbar muscles are obtained through the limb fatigue feature quantity collection module 3. muscle, quadriceps, sartorius, hamstrings, tibialis anterior, triceps calf, pectoralis major, brachioradialis, biceps, and flexor and extensor carpi radialis The information processing module 4 calculates the energy ratio of the EEG slow wave and the EEG fast wave to determine whether the user has mental fatigue, and analyzes the collected muscle electrical signals to determine whether the user has physical fatigue. The information processing module 4 sends different control commands to the driving motor 133 and the driver 144 to adjust the operating parameters of the driving motor 133 and the driver 144.

The basic principles and main features of the present invention and the advantages of the present invention have been shown and described above. Those skilled in the industry should understand that the present invention is not limited by the above-mentioned embodiments. What are described in the above-mentioned embodiments and the description only illustrate the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will also have Variations and improvements are possible, which fall within the scope of the claimed invention. The protection scope of the present invention is defined by the appended claims and their equivalents.

Claims (6)

1. The utility model provides a rehabilitation training system based on active feedback, rehabilitation training system include walking ability training module, neural fatigue characteristic quantity acquisition module, limbs fatigue characteristic quantity acquisition module and information processing module, its characterized in that: the walking ability training module is in wireless communication with the information processing module, and the nerve fatigue characteristic quantity acquisition module and the limb fatigue characteristic quantity acquisition module are both connected with the walking ability training module and are respectively used for acquiring a brain electromyographic signal, an electromyographic signal of relevant muscles and gait information of a patient in the process of using the walking ability training module and transmitting the acquired information to the information processing module through a communication cable; the walking ability training module comprises a machine body group, an identity information recognition module, a gait training mechanism, a walking training mechanism and an upper limb swinging training mechanism, wherein the identity information recognition module is installed on the front side of the machine body group and used for recognizing and storing identity information and training data information of a user; the neural fatigue characteristic quantity acquisition module is wearable electroencephalogram signal acquisition equipment and is used for acquiring electroencephalogram slow waves and electroencephalogram fast waves in the training process of a user and calculating the energy ratio of the acquired electroencephalogram slow waves to the electroencephalogram fast waves; the limb fatigue characteristic quantity acquisition module comprises a diseased limb side sampling electrode, a contrast group sampling electrode and an electromyographic signal acquisition instrument, wherein the diseased limb side sampling electrode is used for acquiring the electromyographic signal of the relevant muscle of the diseased limb side in the exercise process of a user, and the contrast group sampling electrode is used for acquiring the electromyographic signal of the relevant muscle of the normal limb side in the exercise process of the user; gait training mechanism includes mounting bracket, mounting panel, driving motor, drive mechanism, link mechanism, foot fixer and plantar pressure acquisition sensor, the mounting bracket is hollow structure, mounting panel and mounting bracket bolted connection, driving motor installs inside the mounting bracket to drive the reciprocal rotation of link mechanism through drive mechanism, the link mechanism is followed to the foot fixer rotates to sole pressure value through fixing the plantar pressure acquisition sensor at its tip acquires the user.

2. The active feedback-based rehabilitation training system of claim 1, wherein: upper limbs swing training mechanism includes telescopic link, handrail, pivot, two-way torsional spring and corner sensor, the telescopic link lower extreme rotates around the pivot, and telescopic link and two-way torsional spring connection, corner sensor installs in the medial surface of pivot for detect the turned angle of pivot.

3. The active feedback-based rehabilitation training system of claim 1, wherein: the transmission mechanism is a belt wheel type transmission mechanism, the connecting rod mechanism comprises a connecting rod, a sleeve and a buffer spring, the connecting rod and the buffer spring are symmetrically arranged in the sleeve and are in sliding connection with the sleeve, the connecting rod on one side is fixedly connected with the mounting plate, and the connecting rod on the other side is rotatably connected with the foot fixer.

4. The active feedback-based rehabilitation training system of claim 1, wherein: organism group includes base, support frame and stopper, the support frame is installed in the base upper end, and the support frame is extending structure, the stopper is used for the spacing of support frame, identity information identification module includes display, identification camera and built-in wireless communication module, the display is installed in the inboard of support frame, identification camera and built-in wireless communication module are all installed inside the display, walking training mechanism includes that the symmetric distribution is in track, commentaries on classics roller, actuator and the driver of mounting bracket both sides.

5. The active feedback-based rehabilitation training system of claim 1, wherein: the brain wave slow wave frequency is 4-8 Hz, and the brain wave fast wave frequency is 13-40 Hz.

6. The active feedback-based rehabilitation training system of claim 1, wherein: the related muscles are gluteus maximus, iliocostaleus muscle, quadriceps femoris muscle, sartorius muscle, popliteal cord muscle, tibialis anterior muscle, triceps surae muscle, pectoralis major, brachioradialis muscle, biceps brachii muscle and flexor carpi radialis.

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