Hand active and passive rehabilitation system based on attention and motor imagery
Through the active and passive rehabilitation system of the hand based on attention and exercise imagination, combined with the color touch screen and EEG acquisition and analysis module, synchronous training between the brain and the hand is achieved, solving the problem that existing equipment cannot perform brain and hand rehabilitation at the same time. The training problem improves the efficiency and intuitiveness of rehabilitation training, and ensures the reliability of the equipment through a fault analysis system.
Patent Information
- Application Number
- CN202220589555.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2022-03-17
- Publication Date
- 2024-12-13
- Estimated Expiration
- 2032-03-17
AI Technical Summary
The existing stroke rehabilitation training equipment is mainly concentrated on limb training, and the lack of rehabilitation training for the brain and hands simultaneously makes it difficult to quickly re-establish the movement signal connection between the patient's brain and hands.
Design an active passive rehabilitation system for the hand based on attention and exercise imagination, combining color touch screen, controller, EEG acquisition and analysis module and passive training equipment to realize EEG signal acquisition and analysis through serial port and Bluetooth communication, and control passive training The device conducts synchronous training of the brain and hands, and adds a fault analysis system to the power module.
It realizes simultaneous training between the brain and the hands, quickly re-establishes the connection between the brain and the hands movement signals, improves the intuitiveness and efficiency of rehabilitation training, and promptly deals with equipment failures through the fault analysis system.
Smart Images

Figure CN222150691U_ABST
Abstract
Description
Technical Field
[0001] The utility model relates to the technical field of electronics, in particular to an active and passive hand rehabilitation system based on attention and motor imagination. Background Art
[0002] With the increase of the aging population and the increase of bad habits in modern society, the number of stroke patients has increased year by year, and stroke has received more and more attention. However, there is a huge shortage of doctors who can provide rehabilitation training for stroke patients. The training is difficult, the cycle is long, and the employment cost is high. Therefore, many stroke rehabilitation training equipment have emerged.
[0003] The brain function of stroke patients is affected, and the connection between the brain and limbs is actually one of the main reasons for the patients' limb mobility difficulties. However, the rehabilitation training equipment currently on the market can basically only perform relevant training on the limbs, and rarely conduct rehabilitation training for the brain and limbs at the same time. The utility model focuses on achieving simultaneous training of the brain and hands, quickly re-establishing the connection between brain and hand movement signals, and hopes to solve the problems encountered by patients from the root. Utility Model Content
[0004] The purpose of the utility model is to provide an active and passive hand rehabilitation system based on attention and motor imagery to solve the problems raised in the above-mentioned background technology.
[0005] In order to achieve the above purpose, the utility model provides the following technical solutions:
[0006] A hand active and passive rehabilitation system based on attention and motor imagery includes a color touch screen, a controller, an EEG acquisition and analysis module and a passive training device. The color touch screen is connected to the controller via serial port communication, the EEG acquisition and analysis module is connected to the controller via Bluetooth communication, and the controller is connected to the passive training device via an interface.
[0007] As a further technical solution of the utility model: the main control core of the controller is the single chip microcomputer U3, and the touch screen is connected to the single chip microcomputer U3 through the interface J2 for communication.
[0008] As a further technical solution of the utility model: the model of the single chip microcomputer U3 is STM32F103C8T6LQFP48.
[0009] As a further technical solution of the utility model: it also includes a power module and a switching circuit for supplying power to each module, the power module includes a charger interface J1 and a power management chip U4, the switching circuit includes a MOS tube switch Q3 and a MOS tube switch Q4, the charger interface J1 is connected to the DC power supply and then connected to the power management chip U4 through a fuse F1, the power management chip U4 outputs a voltage BATTERY to the MOS tube switch Q3 through the MOS tube switch Q12, the diode D1, the inductor L3, the resistor R1, and the resistor R11, the MOS tube switch Q3 outputs a 12.6V DC voltage and then outputs a 5V voltage through the step-down chip U2, the step-down chip U2 outputs a 5V voltage through the step-down chip U1 and then outputs a 3.3V DC voltage to the microcontroller U3, and the action of the MOS tube switch Q3 is realized by the microcontroller U3 controlling the state of the MOS tube switch Q4.
[0010] As a further technical solution of the utility model: the passive training equipment includes transistor Q1, transistor Q2, transistor Q8, transistor Q9, MOS tube Q5, MOS tube Q6 and MOS tube Q7, the base of transistor Q2 is connected to pin 33 of single-chip computer U3 through resistor R40, the collector of transistor Q2 is connected to the gate of MOS tube Q5 and resistor R20 through resistor R28, the other end of resistor R20 is connected to capacitor C31, capacitor C39, the source of MOS tube Q5 and 12.6V DC voltage, the drain of MOS tube Q5 is connected to the cathode of diode D5 and inductor L5, the other end of inductor L5 is connected to the cathode of diode D6, capacitor C30 and air pump AIR_PUMP1, the anode of diode D6 outputs signal AIR_PUMP_AD through resistor R48 and is connected to pin 18 of single-chip computer U3, the base of transistor Q1 is connected to pin 41 of single-chip computer U3 through resistor R34, The collector of transistor Q1 is connected to resistor R24, resistor R33 and the gate of MOS tube Q7, the source of MOS tube Q7 is connected to pin 19 of single-chip computer U3 through resistor R35, the drain of MOS tube Q7 is connected to solenoid valve SOLENOID1, the base of transistor Q9 is connected to pin 42 of single-chip computer U3 through resistor R32, the collector of transistor Q9 is connected to resistor R23, resistor R26 and the gate of MOS tube Q6, the source of MOS tube Q6 is connected to pin 11 of single-chip computer U3 through resistor R33, the drain of MOS tube Q6 is connected to solenoid valve SOLENOID2, the base of transistor Q8 is connected to pin 43 of single-chip computer U3 through resistor R29, the collector of transistor Q8 is connected to resistor R21, resistor R25 and the gate of MOS tube Q17, the source of MOS tube Q17 is connected to pin 16 of single-chip computer U3 through resistor R30, and the drain of MOS tube Q17 is connected to solenoid valve SOLENOID3.
[0011] Compared with the prior art, the beneficial effects of the utility model are:
[0012] 1. Use a color touch screen as the control panel to display the equipment functions and control information more intuitively;
[0013] 2. It can enable stroke patients to train the most fundamental part of their brain and work on re-establishing the connection between the brain and hand movement signals;
[0014] 3. A fault analysis system is added to the controller to prompt the user when a fault occurs and contact the staff in time for repair or replacement. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Figure 1 It is the overall principle diagram of the utility model;
[0016] Figure 2 This is the circuit diagram of the controller.
[0017] Figure 3 This is a diagram of the internal circuit of a passive training device.
[0018] Figure 4 Figure 2 is the internal circuit diagram of the passive training device.
[0019] Figure 5 This is the circuit diagram of connecting the controller to the EEG Bluetooth.
[0020] Figure 6 The circuit diagram of the power module and the switching circuit. DETAILED DESCRIPTION
[0021] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.
[0022] See also Figure 1 Embodiment 1, a hand active and passive rehabilitation system based on attention and motor imagery, includes a color touch screen, a controller, an EEG acquisition and analysis module and a passive training device, the color touch screen is connected to the controller via serial communication, the EEG acquisition and analysis module is connected to the controller via Bluetooth communication, and the controller is connected to the passive training device via an interface.
[0023] The controller and the color touch screen communicate via serial ports. The color touch screen can intuitively present the functions of the device and the control information of the device to the user. The user can give instructions to the controller through the touch screen so that the controller controls the passive training device to achieve the purpose of rehabilitation training.
[0024] When the device performs active training (rehabilitation training driven by the brain), the EEG acquisition and analysis module needs to be connected to the main control panel via Bluetooth. The EEG acquisition and analysis module will transmit the collected EEG signals to the controller via Bluetooth. The controller controls the passive training device by analyzing the transmitted EEG data, thereby achieving the purpose of brain-driven hand training.
[0025] When the passive training device fails, the passive training device will feed back the fault information to the controller and display it through the touch screen to remind the user.
[0026] like Figure 6 As shown, the design also includes a power module and a switch circuit for supplying power to each module. The power module includes a charger interface J1 and a power management chip U4. The switch circuit includes a MOS tube switch Q3 and a MOS tube switch Q4. The charger interface J1 is connected to the DC power supply and then connected to the power management chip U4 through a fuse F1. The power management chip U4 outputs a voltage BATTERY to the MOS tube switch Q3 through the MOS tube switch Q12, the diode D1, the inductor L3, the resistor R1, and the resistor R11. The MOS tube switch Q3 outputs a 12.6V DC voltage and then outputs a 5V voltage after passing through the step-down chip U2. The 5V voltage output by the step-down chip U2 outputs a 3.3V DC voltage after passing through the step-down chip U1 to supply the single-chip computer U3. The action of the MOS tube switch Q3 is realized by the single-chip computer U3 controlling the state of the MOS tube switch Q4.
[0027] J1 is connected to an external charger socket, and BATTERY1 is connected to an external battery. U4's 6, 7, and 8 pins collect its charging information: whether it is in charging state, charging speed, and whether charging is completed. U4's 4 and 3 pins are connected to the 14 and 40 pins of the microcontroller respectively to feed back the collected information to the microcontroller; pin 10 is connected to Q12 to control its charging speed and charging state to ensure the safety of battery charging and extend the battery life.
[0028] In addition, the device cannot be used while charging to ensure the safety and service life of the device as much as possible.
[0029] Connect the power button to POWER SW+ and POWER SW-. Long press the button to turn on the device. Connect the 10th pin of the MCU through P_key to inform the MCU to turn on the device. Then the 32nd pin of the MCU provides a continuous signal to P_PWM to control Q4, thereby indirectly controlling Q3 to turn the device on. Similarly, when shutting down, press the button to provide the shutdown signal to the MCU through P_key. The MCU disconnects the power supply signal to P_PWM, thereby achieving the purpose of shutting down. BAT_AD connected to the MCU can provide feedback to the MCU whether the battery power supply is normal.
[0030] At the same time, when the device is not working for a long time, it will enter sleep mode or shut down to save electricity and maintain working status for a longer time.
[0031] like Figure 3 and 4 As shown, the passive training equipment includes transistors Q1, Q2, Q8, Q9, MOS tube Q5, MOS tube Q6 and MOS tube Q7. The base of transistor Q2 is connected to pin 30 of single-chip computer U3 through resistor R40, the collector of transistor Q2 is connected to the gate of MOS tube Q5 and resistor R20 through resistor R28, the other end of resistor R20 is connected to capacitor C31, capacitor C39, the source of MOS tube Q5 and 12.6V DC voltage, the drain of MOS tube Q5 is connected to the cathode of diode D5 and inductor L5, the other end of inductor L5 is connected to the cathode of diode D6, capacitor C30 and air pump AIR_PUMP1, the anode of diode D6 outputs signal AIR_PUMP_AD through resistor R48 and is connected to pin 18 of single-chip computer U3, the base of transistor Q1 is connected to pin 41 of single-chip computer U3 through resistor R34, the collector of transistor Q1 is connected to Resistor R24, resistor R33 and the gate of MOS tube Q7, the source of MOS tube Q7 is connected to pin 19 of single-chip computer U3 through resistor R35, the drain of MOS tube Q7 is connected to solenoid valve SOLENOID1, the base of transistor Q9 is connected to pin 42 of single-chip computer U3 through resistor R32, the collector of transistor Q9 is connected to resistor R23, resistor R26 and the gate of MOS tube Q6, the source of MOS tube Q6 is connected to pin 11 of single-chip computer U3 through resistor R33, the drain of MOS tube Q6 is connected to solenoid valve SOLENOID2, the base of transistor Q8 is connected to pin 43 of single-chip computer U3 through resistor R29, the collector of transistor Q8 is connected to resistor R21, resistor R25 and the gate of MOS tube Q17, the source of MOS tube Q17 is connected to pin 16 of single-chip computer U3 through resistor R30, and the drain of MOS tube Q17 is connected to solenoid valve SOLENOID3.
[0032] The working principle is as follows: the main control core of the controller is the U3 chip, the touch screen is connected to the microcontroller U3 through J2 for communication, the user conveys instructions through the touch screen, and transmits digital signals to U3 through the PA3 pin of U3, and U3 judges the transmitted digital signals.
[0033] If U3 receives a passive training work instruction, U3 transmits the digital signal through pins PA12, PB5, PB6, and PB7, and converts the digital signal into an analog signal through Q11 and Q4, Q5, Q6, and Q7, respectively, to control the passive control devices connected to AIR_PUMP1, SOLENOID1, SOLENOID2, and SOLENOID3. When the passive training device works abnormally or fails, a trace analog signal will be transmitted to U3 through the PB0, PB1, PA1, and PA6 pins of U3. U3 converts these analog signals into digital signals, and then transmits the signal to the color touch screen through the PA2 pin to display the fault information on the screen.
[0034] If U3 receives a work instruction to connect to Bluetooth, U3 transmits the digital signal to the Bluetooth module BLE1 through pin PB10. BLE1 starts searching for the Bluetooth of the surrounding EEG acquisition and analysis modules. After searching and connecting, BLE1 converts the searched Bluetooth information and connection status into digital signals, transmits the signal to U3 through the TX pin, and then transmits it to the screen to display the information.
[0035] If U3 receives an active training instruction, it will first connect to Bluetooth (see Connecting Bluetooth), wear the EEG collector on the head to collect weak EEG signals, and convert the EEG signals into digital signals after amplification, analysis and processing. The digital signals will then be transmitted to BLE1 via Bluetooth. BLE1 transmits the digital signals to U3, which processes the digital signals. When the conditions are met, it will control the passive training device to work (see Passive Training), and the training information and Bluetooth data information will be transmitted to the screen via U3.
[0036] Embodiment 2, on the basis of embodiment 1, the model of the single chip microcomputer U3 adopted in this design is STM32 series, and it can also be other similar control chips.
[0037] It is obvious to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, the embodiments should be regarded as exemplary and non-restrictive from any point of view, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present invention. Any reference numeral in a claim should not be regarded as limiting the claim to which it relates.
[0038] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.
Claims
1. A hand active and passive rehabilitation system based on attention and motor imagery, comprising a color touch screen, a controller, an EEG acquisition and analysis module and a passive training device, characterized in that: The color touch screen is connected to the controller via serial port communication, the EEG acquisition and analysis module is connected to the controller via Bluetooth communication, and the controller is connected to the passive training device via an interface.
2. The active and passive hand rehabilitation system based on attention and motor imagery according to claim 1, characterized in that: The main control core of the controller is the single chip microcomputer U3, and the touch screen is connected to the single chip microcomputer U3 through the interface J2 for communication.
3. The active and passive hand rehabilitation system based on attention and motor imagery according to claim 2, characterized in that: The model of the single chip microcomputer U3 is STM32 series.
4. The active and passive hand rehabilitation system based on attention and motor imagery according to claim 3, characterized in that: It also includes a power module and a switching circuit for supplying power to each module. The power module includes a charger interface J1 and a power management chip U4. The switching circuit includes a MOS tube switch Q3 and a MOS tube switch Q4. The charger interface J1 is connected to a DC power supply and then connected to the power management chip U4 through a fuse F1. The power management chip U4 outputs a voltage BATTERY to the MOS tube switch Q3 through the MOS tube switch Q12, the diode D1, the inductor L3, the resistor R1, and the resistor R11. The MOS tube switch Q3 outputs a 12.6V DC voltage and then outputs a 5V voltage through the step-down chip U2. The 5V voltage output by the step-down chip U2 outputs a 3.3V DC voltage through the step-down chip U1 to supply the single-chip computer U3. The action of the MOS tube switch Q3 is controlled by the single-chip computer U3.
5. The active and passive hand rehabilitation system based on attention and motor imagery according to claim 4, characterized in that: The passive training device includes transistors Q1, Q2, Q8, Q9, MOS tube Q5, MOS tube Q6 and MOS tube Q7. The base of transistor Q2 is connected to pin 33 of single-chip computer U3 through resistor R40, the collector of transistor Q2 is connected to the gate of MOS tube Q5 and resistor R20 through resistor R28, the other end of resistor R20 is connected to capacitor C31, capacitor C39, the source of MOS tube Q5 and 12.6V DC voltage, the drain of MOS tube Q5 is connected to the cathode of diode D5 and inductor L5, the other end of inductor L5 is connected to the cathode of diode D6, capacitor C30 and air pump AIR_PUMP1, the anode of diode D6 outputs signal AIR_PUMP_AD through resistor R48 and is connected to pin 18 of single-chip computer U3, the base of transistor Q1 is connected to pin 41 of single-chip computer U3 through resistor R34, the collector of transistor Q1 is connected to capacitor C31, capacitor C39, the source of MOS tube Q5 and 12.6V DC voltage, the drain of MOS tube Q5 is connected to the cathode of diode D5 and inductor L5, the other end of inductor L5 is connected to the cathode of diode D6, capacitor C30 and air pump AIR_PUMP1, the anode of diode D6 outputs signal AIR_PUMP_AD through resistor R48 and is connected to pin 18 of single-chip computer U3, Resistor R24, resistor R33 and the gate of MOS tube Q7, the source of MOS tube Q7 is connected to pin 19 of single-chip computer U3 through resistor R35, the drain of MOS tube Q7 is connected to solenoid valve SOLENOID1, the base of transistor Q9 is connected to pin 42 of single-chip computer U3 through resistor R32, the collector of transistor Q9 is connected to resistor R23, resistor R26 and the gate of MOS tube Q6, the source of MOS tube Q6 is connected to pin 11 of single-chip computer U3 through resistor R33, the drain of MOS tube Q6 is connected to solenoid valve SOLENOID2, the base of transistor Q8 is connected to pin 43 of single-chip computer U3 through resistor R29, the collector of transistor Q8 is connected to resistor R21, resistor R25 and the gate of MOS tube Q17, the source of MOS tube Q17 is connected to pin 16 of single-chip computer U3 through resistor R30, and the drain of MOS tube Q17 is connected to solenoid valve SOLENOID3.
