Rehabilitation training method for cognitive impairment patient
By collecting data from the finger curvature sensor and combining it with the game module to design an immersive interactive training game, it solves the problem of insufficient personalization of rehabilitation training programs in the existing technology and achieves a more efficient and streamlined rehabilitation training effect.
Patent Information
- Application Number
- CN202310843506.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-11
- Publication Date
- 2025-01-14
AI Technical Summary
The existing technology is difficult to provide personalized rehabilitation training programs, resulting in inefficiency of doctors, frequent repetitive work, and the patient's rehabilitation training process is not processed, standardized and informative enough.
By using the finger curvature sensor to collect the patient's finger movement data, combined with data preprocessing and game modules, a targeted immersive interactive training game is designed to achieve immersive interaction between the patient and the virtual environment.
It improves doctors' work efficiency, reduces duplication of work, and makes the patient's rehabilitation training process more streamlined, standardized, and information-based, significantly improving the patient's cognitive level and physical function.
Smart Images
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Abstract
Description
Technical Field
[0001] The present invention relates to the field of computer rehabilitation, and belongs to the application of computer technology in rehabilitation medicine, and specifically to a rehabilitation training method for patients with cognitive impairment. Background Art
[0002] Mild cognitive impairment (MCI) is an intermediate state between normal aging and dementia, and is a syndrome of cognitive impairment. Compared with normal elderly people of the same age and education level, if they have mild cognitive impairment, the possibility of developing dementia in the next few years will be significantly increased.
[0003] If you have mild cognitive impairment, the possibility of developing dementia in the next few years will increase significantly. The incidence of mild cognitive impairment in the elderly population (over 65 years old) is 10-15%, and 10-15% of patients will develop dementia within one year, and the remaining 50% will develop dementia within 5 years. The dreaded Alzheimer's disease is the most common manifestation of dementia (AD). Some people with mild cognitive impairment can be improved through intervention, while some people will eventually develop dementia. AD will not only affect the patient's quality of life, but also bring a great economic burden to the family and society. In addition, the treatment of AD in the middle and late stages is poor. Therefore, as MCI is in the very early stage of AD, it is particularly important to intervene and treat it to prevent or delay its development into AD.
[0004] Many patients with cognitive impairment will have some limb movement dysfunction (such as Parkinson's disease, cardiovascular and cerebrovascular diseases, and stroke). We can improve the physical function of patients with cognitive impairment by doing some exercises. According to medical and neurological rehabilitation research, the human brain has plasticity, and the effective recovery of the movement function of the affected limb can be achieved through repeated and targeted rehabilitation training, and the patient's subjective movement consciousness is also of great significance to neurological recovery.
[0005] In the field of computer rehabilitation, using games to train patients to a certain extent not only improves efficiency, but also has better accuracy and timeliness than manual training, which can mobilize patients' enthusiasm and reduce their dependence on attending physicians. It can not only ensure that patients with cognitive impairment get physical exercise, but also relax their body and mind, which is conducive to their rehabilitation. Therefore, the system and method of rehabilitation training for patients with cognitive rehabilitation disorders based on games is worthy of further study. Summary of the invention
[0006] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a rehabilitation training method for patients with cognitive impairment, which can provide a good training plan according to the patient's physical health condition, improve the efficiency of doctors, reduce repetitive work, and make the patient's rehabilitation training process more streamlined, standardized, and information-based.
[0007] A method for rehabilitation training of patients with cognitive impairment includes: a device for collecting patient information, a method for processing information, a targeted training method, a device for displaying information, and an immersive interaction method. The method is characterized in that the patient's body information is collected through a targeted sensor device, and then the data collected from the patient is pre-processed, so that the data appears in the device for displaying information in the form of controlling the movement of a target in a serious game. Finally, the patient is allowed to achieve immersive interaction through his own exercise training.
[0008] Furthermore, the device is a glove device containing a curvature sensor inside, which can accurately identify and collect data on the user's body movements; using the finger curvature sensor to collect the patient's finger curvature data is specifically as follows: wearing the sensor glove integrated with the sensor on the patient's hand, testing whether the patient's fingers can move normally, and then connecting the device to the computer via a USB data cable, and opening the computer's device manager to view the port number used by the sensor glove, and the computer will receive the collected finger curvature data through the port number.
[0009] Furthermore, the device is lightweight and easy to carry, allowing patients to use it easily and effortlessly.
[0010] Furthermore, the method first removes random errors and variances in the information data through noise processing to achieve the effect of smoothing the data; then normalizes the data and scales the data according to a certain proportion so that it falls in a specific area to facilitate comprehensive analysis; then discretizes the data and divides the continuous data into segments of equal distance and frequency to turn it into discrete intervals.
[0011] Furthermore, after the finger curvature sensor collects the patient's finger curvature data, the sensor transmits the data to the computer through the USB data cable. At this time, the game module written in Python code uses the Serial function in serial to receive the S1 data and save it in the module; then it is converted into numerical data through a special function for easy processing.
[0012] Furthermore, the targeted training method specifically provides refined training for fingers. Finger movements can stimulate the cerebral cortex, improve cerebral circulation, form new excitement points in the brain, and help improve attention, memory, and thinking ability, thereby improving the cognitive level of elderly patients and delaying the progression of cognitive impairment.
[0013] Furthermore, the device can be a computer, television, monitor, mobile phone, tablet or other device that can display images; the curvature sensor converts the collected finger curvature data into a set of values, and then corresponds this set of values to the horizontal and vertical coordinates of the game character, so that the position of the game character in the device that displays information can be controlled by the degree of curvature of the finger.
[0014] Furthermore, the interactive method is based on the pygame module in python to generate different serious rehabilitation training games for different training stages; by providing patients with virtual environment interference, stimulating rehabilitation training is performed on patients; according to the effect of each round of rehabilitation training, the complexity of the game array is adjusted to increase or decrease the complexity of the game, thereby increasing the challenge of the rehabilitation training or reducing the difficulty. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Figure 1 Framework diagram of a rehabilitation training method for a patient with cognitive impairment
[0016] Figure 2 Flowchart of a rehabilitation training method for a patient with cognitive impairment DETAILED DESCRIPTION
[0017] In order to make the objectives, technical solutions and advantages of the present invention more clear, the following is a further detailed, clear and complete description of the embodiments of the present invention in conjunction with the accompanying drawings.
[0018] Embodiment 1:
[0019] A rehabilitation training method for patients with cognitive impairment, the method application steps are:
[0020] S1: Use the finger curvature sensor to collect the patient's finger curvature data
[0021] S2: Transmit the collected data to the game module
[0022] S3: Targeted design of training games and game difficulty
[0023] S4: The immersive interaction module starts rendering the game and loading the received data
[0024] S5: The patient enters the game and starts rehabilitation training.
[0025] S6: Game ends and saves and calculates patient scores
[0026] S7: The administrator adjusts the game difficulty or changes the training game based on the patient's gaming performance to suit the patient's cognitive status
[0027] The method also includes: a bending sensor data glove, including a wrist cover, a palm cover, and a finger cover, wherein the wrist cover can be powered by an external power supply battery device or by use, a controller device is provided on the back of the palm cover, the finger cover is formed by connecting multiple finger covers of simulated fingers, a hinge fishing line is provided between two adjacent knuckle covers, a finger placement slot is provided inside and a bending sensor is provided. The entire glove device is connected to a computer device via USB, and the computer transmits the collected finger curvature data to the game via a serial port protocol, and the operations in the game are corresponding to the finger curvature data in the game.
[0028] Step 1: Use the finger curvature sensor to collect the patient's finger curvature data. Wear the sensor glove integrated with the sensor on the patient's hand to test whether the patient's fingers can move normally, then connect the device to the computer via a USB data cable, and open the computer's device manager to view the port number used by the sensor glove. The computer will receive the collected finger curvature data through this port number.
[0029] Step 2: Transfer the collected data to the game module. When the finger curvature sensor collects the patient's finger curvature data, the sensor transmits the data to the computer through the USB data cable. At this time, the game module written in Python code uses the Serial function in the serial to receive the data of S1, and then pre-processes the received data. First, the random error and variance in the information data are removed by noise processing to achieve the effect of smoothing the data; then the data is normalized and scaled according to a certain proportion so that it falls in a specific area for comprehensive analysis; then the data is discretized to divide the continuous data into segments of equal distance and frequency, so that it becomes a segment of discrete intervals; after processing, it is saved in the module. In this way, the computer can transmit the received data to the game program through the serial port. The game program can perform corresponding operations after receiving the data.
[0030] Step 3, targeted design of training games and game difficulty: Before the first training, professional medical staff will assess the patient's cognitive dysfunction and physical condition, and inform the system administrator of the patient's detailed condition. The system administrator will design a targeted training game based on the patient's specific information obtained from the medical staff, and set a game difficulty that matches the patient's physical condition.
[0031] Step 4: Start rendering the game through the immersive interaction module and load the received data. For example, this method is applied to the flying bird game. When the collected fingers are bent to a certain extent, the flying height of the bird in the game will be increased to a certain extent. When the fingers are relaxed, the flying height of the bird will be decreased to a certain extent. The bird will encounter some obstacles during the flight, and these obstacles can be avoided by controlling the flying height of the bird. At the beginning of the game, the port number of the bending sensor, the speed threshold of the bird's upward flight, and the speed threshold of the bird's downward flight need to be input respectively to ensure the reception of data and the control of the bird's rising and falling speed. Then obtain Beijing or local time through the request module to facilitate the patient's time control. Then render the game interface, the bird operation object, and the obstacle object. The bird object will obtain attributes such as width, height, x-axis coordinates, y-axis coordinates, upward and downward speed v, and gravity acceleration g. When the module collects the angle value (bending value) sent by the bending sensor, the larger the angle value, the greater the degree of bending of the patient's finger. The greater the bending, the greater the acceleration of the bird. Within the specified time t, the y-axis coordinate of the bird can be calculated according to y=vt+1 / 2gt², and the bird object changes with the change of these attributes. The obstacle object inherits the sprite class Sprite in pygame, and puts all obstacles into a sprite group Group. The spritecollideany method can effectively detect which obstacle collides with the bird object and return the obstacle. Given the width, height, x-axis coordinate, and y-axis coordinate of the obstacle, let the obstacle be displayed on the page. The bird calculates the score by avoiding obstacles, which can improve the patient's physical function. Physical exercise is also of great significance to the patient's nerve recovery. When the bird hits an obstacle, the game will not end, and points will be deducted.
[0032] Step 5: Calculate the patient's score and analyze it to determine the patient's recovery. The bird will encounter some obstacles during its flight, and these obstacles can be avoided by controlling the height of the bird's flight. Each time an obstacle is avoided, the game score will increase, and the game score will decrease if the obstacle is not successfully avoided. After the game is over, the game score is calculated and the patient's cognitive recovery is evaluated by the game score.
[0033] Step 6: Save and calculate the patient's score after the game ends. When a round of games ends, the first thing to do is to save the data of the entire process and the score of this game in the database. The data obtained from a round of games may be affected by the performance of the patient, so play several rounds of games and finally take the average value. Each data is saved in the database. When the patient undergoes rehabilitation training through games for a long time. The system can analyze the patient's historical data curve to determine the patient's rehabilitation status. If the score slowly rises, it means that the patient's cognition is slowly recovering.
[0034] Step 7: The administrator adjusts the game difficulty or changes the training game according to the patient's game performance to adapt to the patient's cognitive state. By analyzing the patient's performance or the patient's own feelings, it can be concluded whether the patient is suitable for this rehabilitation game. If not, it needs to be replaced in time. If the patient does not have any likes or dislikes, analyze the patient's score to see if the patient is suitable for this game difficulty. Maintaining a certain difficulty for a long time will reduce the effect of rehabilitation training, so it is necessary to adjust the game difficulty appropriately to give the patient the best rehabilitation training effect.
Claims
1. A method for rehabilitation training of patients with cognitive impairment, characterized in that it includes: Equipment for collecting patient information, methods for processing information, targeted training methods, equipment for displaying information, and immersive interaction methods. The characteristics of this method are to collect patient information through targeted sensor equipment, and then pre-process the data collected from the patient, so that the data can appear in the device for displaying information in the form of controlling the movement of targets in serious games. Finally, patients can achieve immersive interaction through their own sports training.
2. A method for rehabilitation training for patients with cognitive impairment according to claim 1, characterized in that: The device is a glove device with a curvature sensor inside, which can accurately identify and collect data on the user's body movements; using the finger curvature sensor to collect the patient's finger curvature data is specifically as follows: wearing the sensor glove integrated with the sensor on the patient's hand, testing whether the patient's fingers can move normally, and then connecting the device to the computer via a USB data cable, and opening the computer's device manager to view the port number used by the sensor glove, and the computer will receive the collected finger curvature data through the port number.
3. The method for rehabilitation training of patients with cognitive impairment according to claim 1, characterized in that: The method first removes random errors and variances in information data through noise processing to achieve the effect of smoothing data; then normalizes the data and scales the data according to a certain ratio so that it falls in a specific area to facilitate comprehensive analysis; then discretizes the data and divides the continuous data into segments of equal distance and frequency to turn it into discrete intervals.
4. A method for rehabilitation training for patients with cognitive impairment according to claim 4, characterized in that: Also includes: When the finger curvature sensor collects the patient's finger curvature data, the sensor transmits the data to the computer through the USB data cable. The game module uses the Serial function in the serial to receive the S1 data and save it in the module; then it is converted into numerical data through a special function.
5. The method for rehabilitation training of patients with cognitive impairment according to claim 1, characterized in that: The targeted training method specifically provides refined training for fingers. Finger movements can stimulate the cerebral cortex, improve brain circulation, form new excitement points in the brain, improve attention, memory, and thinking ability, and delay the progression of cognitive impairment.
6. The method for rehabilitation training of patients with cognitive impairment according to claim 1, characterized in that: The device can be a computer, television, monitor, mobile phone, tablet or other device that can display images; the curvature sensor converts the collected finger curvature data into a set of values, and then corresponds this set of values to the horizontal and vertical coordinates of the game character, so that the position of the game character in the device that displays information can be controlled by the degree of curvature of the finger.
7. The method for rehabilitation training of patients with cognitive impairment according to claim 1, characterized in that: The interactive method is based on the pygame module in python, and different serious rehabilitation training games are generated for different training stages; stimulating rehabilitation training is performed on patients by providing them with virtual environment interference; according to the effect of each round of rehabilitation training, the complexity of the game array is adjusted to increase or decrease the complexity of the game, thereby increasing the challenge of the rehabilitation training or reducing the difficulty.