Intelligent upper limb rehabilitation training device

Abstract

The utility model provides an intelligent upper limb rehabilitation training device, and belongs to the technical field of rehabilitation training. The intelligent rehabilitation training device for the upper limbs comprises a master control card, a first control card, a second control card, a muscle strength detection module, a plurality of sensor detection modules, a driving module, a first training module and a second training module, the master control card is respectively connected with the first control card and the second control card; the first control card is connected with the muscle strength detection module; the second control card is respectively connected with the plurality of sensor detection modules; the driving module is connected with the master control card, the first training module and the second training module. The problem that an existing upper limb rehabilitation training mode is low in rehabilitation efficiency can be solved, and the rehabilitation effect of a user is enhanced.

Description

Technical Field

[0001] This disclosure relates to the field of rehabilitation training technology, and in particular to an intelligent rehabilitation training device for the upper limbs. Background Technology

[0002] With people's increasing demands for a healthy quality of life, the development of rehabilitation training has received growing attention. For upper limb dysfunction caused by illness or injury, traditional rehabilitation training methods often rely on manual guidance from physical therapists or focus on a single function. These methods are not only inefficient but also lack the ability to provide personalized training. Therefore, existing upper limb rehabilitation training devices suffer from low rehabilitation efficiency, affecting the user's rehabilitation process and outcomes. Utility Model Content

[0003] This disclosure provides an intelligent rehabilitation training device for the upper limbs to address the problem of low rehabilitation efficiency.

[0004] This disclosure provides an intelligent rehabilitation training device for the upper limb, comprising:

[0005] The system includes a main control card, a first control card, a second control card, a muscle strength detection module, multiple sensor detection modules, a drive module, a first training module, and a second training module.

[0006] The main control card is connected to the first control card, the second control card, and the driver module.

[0007] The first control card is connected to the muscle strength detection module;

[0008] The second control card is connected to multiple sensor detection modules respectively;

[0009] The driver module is connected to the first training module and the second training module respectively;

[0010] The muscle strength detection module is configured to detect the strength of the user's upper limbs;

[0011] The driver module is configured to drive either the first training module or the second training module;

[0012] The first training module is configured to train the arms and shoulders;

[0013] The second training module is configured to train the fingers and wrists.

[0014] In one exemplary embodiment of this disclosure, the plurality of sensor detection modules include a force sensor, a position sensor, and an angle sensor;

[0015] The force sensor, position sensor, and angle sensor are all connected to the second control card;

[0016] The force sensor is configured to detect the force applied by the user during training;

[0017] The position sensor is configured to detect the position and movement trajectory of the user's arm;

[0018] An angle sensor is configured to detect the angle of the user's joints.

[0019] In one exemplary embodiment of this disclosure, the driving module includes a first driving unit and a second driving unit;

[0020] The first driving unit is connected to the first training module;

[0021] The second driving unit is connected to the second training module;

[0022] The first driving unit includes: transistor Q4, resistor R1, resistor R4, capacitor C1, transistor Q1, transistor Q2, and Zener diode D1;

[0023] The base of transistor Q4 is connected to the main control card, the collector of transistor Q4 is connected to the VCC power supply, the emitter of transistor Q4 is connected to the emitter of transistor Q1, the emitter of transistor Q4 is connected to the cathode of Zener diode D1 through resistor R1, the anode of Zener diode D1 is grounded, the first end of resistor R3 is connected to the cathode of Zener diode D1, the second end of resistor R3 is grounded through capacitor C1, the second end of resistor R3 is connected to the base of transistor Q2, the emitter of transistor Q2 is grounded through resistor R4, the collector of transistor Q2 is connected to the base of transistor Q1, and the collector of transistor Q1 is connected to the first training module.

[0024] In one exemplary embodiment of this disclosure, the first driving unit further includes: a driver U1, a switching transistor Q3, a resistor R7, and a variable resistor RP1;

[0025] The first terminal of the switching transistor Q3 is connected to the collector of the transistor Q1, and the second terminal of the switching transistor Q3 is connected to the first training module.

[0026] The power supply terminal of driver U1 is connected to the emitter of transistor Q4 through resistor R7. The detection terminal of driver U1 is connected to the emitter of transistor Q4 through rheostat RP1. The output terminal of driver U1 is connected to the control terminal of switching transistor Q3. The second terminal of switching transistor Q3 is connected to the feedback terminal of driver U1.

[0027] In one exemplary embodiment of this disclosure, an upper limb intelligent rehabilitation training device further includes a voice control module and a magnetic control module;

[0028] Both the voice control module and the magnetic control module are connected to the main control card.

[0029] In one exemplary embodiment of this disclosure, an upper limb intelligent rehabilitation training device further includes a pulse rate and blood oxygenation detection module;

[0030] The pulse rate and blood oxygenation detection module is connected to the first control card.

[0031] In one exemplary embodiment of this disclosure, an intelligent rehabilitation training device for the upper limbs further includes a storage module;

[0032] The storage module is connected to the main control card.

[0033] In one exemplary embodiment of this disclosure, an intelligent upper limb rehabilitation training device further includes a communication module and a touch display module;

[0034] The main control card is connected to the touch display module via the communication module.

[0035] The beneficial effects of the intelligent rehabilitation training device for the upper limb provided in this disclosure are: the embodiments of this disclosure significantly improve the personalization and accuracy of rehabilitation treatment.

[0036] On the one hand, by incorporating a muscle strength detection module, this embodiment of the present disclosure can accurately assess the strength levels of various muscle groups in the user's upper limbs, providing a scientific basis for the development of rehabilitation programs. On the other hand, by incorporating a multi-sensor detection module, this embodiment of the present disclosure provides real-time feedback on the user's movement status, ensuring the safety and effectiveness of the training process.

[0037] On the other hand, the dual-training module design of the upper limb intelligent rehabilitation training device—namely, the first training module targeting the arm and shoulder, and the second training module targeting the fingers and wrist—achieves comprehensive coverage of upper limb rehabilitation, promoting the gradual recovery of muscle strength and improving coordination. The intelligent control of the drive module allows the training process to be flexibly adjusted according to the user's actual situation, ensuring both the continuity of training and avoiding the risk of overtraining, thus guaranteeing training safety.

[0038] Therefore, the embodiments disclosed herein can improve the rehabilitation efficiency of upper limb rehabilitation training methods, accelerate the user's rehabilitation process, and are of great significance for improving the user's quality of life. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is a schematic diagram of the structure of an intelligent rehabilitation training device for the upper limbs provided in an embodiment of this disclosure;

[0041] Figure 2 This is a schematic diagram of another intelligent upper limb rehabilitation training device provided in this embodiment;

[0042] Figure 3 This is a circuit diagram of the first driving unit provided in an embodiment of this disclosure;

[0043] Figure 4 This is a circuit diagram of the second driving unit provided in an embodiment of this disclosure. Detailed Implementation

[0044] To enable those skilled in the art to better understand this solution, the technical solutions in the embodiments of this solution will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this solution. Based on the embodiments of this solution, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this solution.

[0045] The term "comprising" and any other variations thereof in the specification, claims, and accompanying drawings of this invention mean "including but not limited to," and are intended to cover a non-exclusive inclusion, not limited to the examples listed herein. Furthermore, the terms "first" and "second," etc., are used to distinguish different objects, not to describe a specific order.

[0046] The implementation of this disclosure will be described in detail below with reference to the specific accompanying drawings:

[0047] Figure 1 This is a schematic diagram of the structure of an intelligent rehabilitation training device for the upper limbs provided in an embodiment of this disclosure. (Refer to...) Figure 1 The intelligent upper limb rehabilitation training device includes:

[0048] The system includes a main control card 101, a first control card 102, a second control card 103, a muscle strength detection module 104, a multiple sensor detection module 105, a drive module 106, a first training module 107, and a second training module 108.

[0049] The main control card 101 is connected to the first control card 102, the second control card 103 and the drive module 106 respectively;

[0050] The first control card 102 is connected to the muscle strength detection module 104;

[0051] The second control card 103 is connected to multiple sensor detection modules 105 respectively;

[0052] The driving module 106 is connected to the first training module 107 and the second training module 108 respectively;

[0053] The muscle strength detection module 104 is configured to detect the strength of the user's upper limbs;

[0054] The driver module 106 is configured to drive either the first training module 107 or the second training module 108;

[0055] The first training module 107 is configured to train the arms and shoulders;

[0056] The second training module 108 is configured to train the fingers and wrists.

[0057] In this embodiment, the main control card 101 is connected to the first control card 102 and the second control card 103, respectively, and is responsible for coordinating and managing the operation of the first control card 102 and the second control card 103 to ensure the orderly progress of the upper limb rehabilitation training process. Simultaneously, the main control card 101 is also connected to the drive module 106, and can send commands to the drive module 106 to control the start or stop of the first training module 107 and the second training module 108, as well as control the operating parameters of the drive module 106.

[0058] The first control card 102 is connected to the muscle strength detection module 104 and is responsible for transmitting the instructions of the main control card 101 to the muscle strength detection module 104 and feeding back the data detected by the muscle strength detection module 104 to the main control card 101.

[0059] The muscle strength detection module 104 is configured to detect the strength of different muscle groups in the user's upper limbs. The muscle strength detection module 104 can accurately measure the strength of different muscle groups in the user's hands, arms, shoulders, etc., which helps to understand the user's specific muscle strength and thus provide targeted training, avoiding overtraining or undertraining. The muscle strength detection module 104 can consist of a grip and a pressure sensor. When the user grips the grip forcefully, the pressure sensor senses the pressure change and converts it into an electrical signal. After processing by the first control card 102, the grip force can be displayed digitally on the touch display module 114.

[0060] The second control card 103 is connected to multiple sensor detection modules 105 and is responsible for transmitting information between the main control card 101 and the multiple sensor detection modules 105 to ensure that the multiple sensor detection modules 105 can work normally and to promptly feed back the detected data to the main control card 101.

[0061] Multiple sensor detection modules 105 can detect various physiological parameters of the user's upper limbs, such as joint angles, movement speed, and movement trajectory. This embodiment, by detecting these parameters, can provide real-time information about the user's movement status during rehabilitation training, offering a basis for adjusting the training plan.

[0062] The drive module 106 is responsible for starting or stopping the first training module 107 or the second training module 108. When it receives an instruction from the main control card 101, the drive module 106 will start the corresponding training module according to the instruction to provide targeted rehabilitation training for the user. At the same time, the drive module 106 can also control the exercise intensity and speed of the first training module 107 and the second training module 108 to adapt to the rehabilitation needs of different users.

[0063] The first training module 107 in this upper limb intelligent rehabilitation training device is responsible for training the arm and shoulder areas. The first training module 107 may include a resistance unit and a dynamic feedback unit.

[0064] For example, for the arm, an adjustable resistance unit can be set up to allow users to perform arm flexion, extension, abduction, and adduction movements to strengthen arm muscles. A dynamic feedback unit can also be equipped to monitor the user's arm movement and force output in real time, providing accurate data for the rehabilitation process. Simultaneously, an arm fixation device can be designed to ensure user safety during training and prevent secondary injuries caused by improper movement.

[0065] For example, for the shoulder, the first training module 107 can simulate the rotational movement of the shoulder, guiding the user to perform slow and controlled shoulder rotation to improve shoulder flexibility; or it can set up a resistance unit to allow the user to perform shoulder lifting, extension and other movements against a certain resistance to enhance the strength and stability of the muscles around the shoulder.

[0066] The second training module 108 can meet the rehabilitation needs of the fingers and wrists. For example, the second training module 108 can be designed as a device with various finger and wrist training equipment, allowing users to exercise the muscle strength and flexibility of their fingers and wrists through actions such as pinching, stretching, and bending.

[0067] As can be seen from the above, this embodiment significantly improves the personalization and precision of rehabilitation treatment.

[0068] On the one hand, this embodiment, by combining the muscle strength detection module 104, can accurately assess the strength level of various muscle groups in the user's upper limbs, providing a scientific basis for the formulation of rehabilitation plans. On the other hand, this embodiment, by combining the multi-sensor detection module 105, provides real-time feedback on the user's movement status, ensuring the safety and effectiveness of the training process.

[0069] On the other hand, the dual-training module design of the upper limb intelligent rehabilitation training device—namely, the first training module 107 targeting the arm and shoulder, and the second training module 108 targeting the fingers and wrist—achieves comprehensive coverage of upper limb rehabilitation, promoting the gradual recovery of muscle strength and improving coordination. The intelligent control of the drive module 106 allows the training process to be flexibly adjusted according to the user's actual situation, ensuring both the continuity of training and avoiding the risk of overtraining, thus guaranteeing training safety.

[0070] Therefore, this embodiment can improve the rehabilitation efficiency of upper limb rehabilitation training methods, accelerate the user's rehabilitation process, and is of great significance for improving the user's quality of life.

[0071] In one embodiment of this disclosure, reference is made to Figure 2 The multiple sensor detection module 105 includes a force sensor 201, a position sensor 202, and an angle sensor 203;

[0072] Force sensor 201, position sensor 202 and angle sensor 203 are all connected to the second control card 103;

[0073] Force sensor 201 is configured to detect the force applied by the user during training;

[0074] Position sensor 202 is configured to detect the position and movement trajectory of the user's arm;

[0075] Angle sensor 203 is configured to detect the angle of the user's joint.

[0076] In this embodiment, the force sensor 201 is connected to the second control card 103 and is responsible for detecting the force applied by the user during training. It can monitor the amount of force used by the user when performing arm and shoulder training (first training module 107) and finger and wrist training (second training module 108) in real time and feed the relevant information back to the second control card 103.

[0077] For example, if the force sensor 201 detects that the force applied by the user in a certain action is less than or greater than a first threshold, the corresponding training method needs to be adjusted to better promote the user's rehabilitation.

[0078] Position sensor 202 is connected to the second control card 103 and is responsible for detecting the position and movement trajectory of the user's arm. It can accurately determine the position of the user's arm in space and the changes in the arm's trajectory during movement. The detection data of position sensor 202 is very important for assessing the recovery of the user's motor function. In this embodiment, by analyzing the position and movement trajectory of the user's arm, it is possible to determine whether the user's motor coordination, accuracy, and stability have improved. In addition, position sensor 202 can also send relevant information to the second control card 103, thereby enabling the second control card 103 to send instructions to the main control card 101 to adjust the motion parameters.

[0079] Angle sensor 203 is connected to the second control card 103 and is responsible for detecting the angles of the user's joints. It can measure the angle changes of various joints in the user's upper limbs (such as the shoulder joint, elbow joint, and wrist joint) during movement. In this embodiment, by detecting changes in joint angles, the user's joint recovery status can be understood, providing a basis for developing personalized rehabilitation training programs.

[0080] As can be seen from the above, the force sensor 201, position sensor 202 and angle sensor 203 work together in this embodiment to provide comprehensive and accurate detection data for the user's rehabilitation training, which helps to improve the effect and quality of rehabilitation treatment.

[0081] In one embodiment of this disclosure, reference is made to Figure 3 and Figure 4 The drive module 106 includes a first drive unit 301 and a second drive unit 302;

[0082] The first driving unit 301 is connected to the first training module 107;

[0083] The second driving unit 302 is connected to the second training module 108;

[0084] The first driving unit 301 includes: transistor Q4, resistor R1, resistor R4, capacitor C1, transistor Q1, transistor Q2, and Zener diode D1;

[0085] The base of transistor Q4 is connected to the main control card 101, the collector of transistor Q4 is connected to the VCC power supply, the emitter of transistor Q4 is connected to the emitter of transistor Q1, the emitter of transistor Q4 is connected to the cathode of Zener diode D1 through resistor R1, the anode of Zener diode D1 is grounded, the first end of resistor R3 is connected to the cathode of Zener diode D1, the second end of resistor R3 is grounded through capacitor C1, the second end of resistor R3 is connected to the base of transistor Q2, the emitter of transistor Q2 is grounded through resistor R4, the collector of transistor Q2 is connected to the base of transistor Q1, and the collector of transistor Q1 is connected to the first training module 107.

[0086] In this embodiment, the first driving unit 301 can control the start or stop of the first training module 107. The second driving unit 302 can control the start or stop of the second training module 108. The first driving unit 301 and the second driving unit 302 have the same circuit structure.

[0087] Taking the first drive unit 301 as an example, the details are as follows:

[0088] When the main control card 101 outputs a high level, transistor Q4 is turned on, transmitting the voltage signal of the VCC power supply to the subsequent circuits; when the main control card 101 outputs a low level, transistor Q4 is turned off, cutting off the connection between the subsequent circuits and the VCC power supply.

[0089] Resistor R1 and Zener diode D1 form a voltage regulator circuit. The function of the voltage regulator circuit is to regulate the signal output by transistor Q4, so that subsequent circuits receive a stable voltage signal and avoid voltage fluctuations affecting the circuit.

[0090] Resistor R3 and capacitor C1 form an RC circuit. The RC circuit acts as a filter and delay circuit. It can smooth the signal input to the base of transistor Q2, reduce noise and interference in the signal, and also delay the signal changes.

[0091] Transistor Q2 acts as an amplifier, amplifying the signal processed by the RC circuit. The emitter of transistor Q2 is grounded through resistor R4, providing a suitable bias current for transistor Q2.

[0092] Transistor Q1 also functions as an amplifier. The collector of transistor Q2 is connected to the base of transistor Q1, further amplifying the signal output by transistor Q2. The collector of transistor Q1 is connected to the first training module 107, transmitting the amplified signal to the first training module 107, thereby enabling drive control of the first training module 107.

[0093] For example, when the main control card 101 outputs a high level, transistor Q4 is turned on, and the voltage of the VCC power supply forms a forward bias on the Zener diode D1 through transistor Q4 and resistor R1. The voltage regulated by the Zener diode D1 charges capacitor C1 through resistor R3. As the voltage across capacitor C1 increases, transistor Q2 gradually turns on. After transistor Q2 turns on, its collector current increases, causing the base current of transistor Q1 to increase, thereby turning on transistor Q1 and transmitting the drive signal to the first training module 107. Resistor R4 acts as a current limiter to protect transistor Q2. When the main control card 101 outputs a low level, transistor Q4 is turned off, and there is no power supply to the subsequent circuits. Transistors Q1 and Q2 are both in the off state, and the first training module 107 stops working.

[0094] As can be seen from the above, this embodiment achieves delayed and stable driving of the first training module 107 and the second training module 108, ensuring the safety of the upper limb intelligent rehabilitation training device.

[0095] In one embodiment of this disclosure, reference is made to Figure 3 and Figure 4 The first drive unit 301 also includes: a driver U1, a switching transistor Q3, a resistor R7, and a variable resistor RP1;

[0096] The first terminal of the switching transistor Q3 is connected to the collector of the transistor Q1, and the second terminal of the switching transistor Q3 is connected to the first training module 107.

[0097] The power supply terminal of driver U1 is connected to the emitter of transistor Q4 through resistor R7. The detection terminal of driver U1 is connected to the emitter of transistor Q4 through rheostat RP1. The output terminal of driver U1 is connected to the control terminal of switching transistor Q3. The second terminal of switching transistor Q3 is connected to the feedback terminal of driver U1.

[0098] In this embodiment, the switch Q3 is located between the transistor Q1 and the first training module 107, serving the functions of signal transmission and current control. The signal from the collector of transistor Q1 is transmitted to the first training module 107 through the switch Q3, and its on / off state determines whether the drive signal is transmitted to the first training module 107.

[0099] The power supply terminal of driver U1 is connected to the emitter of transistor Q4 through resistor R7. Resistor R7 limits the current, ensuring that driver U1 receives a suitable operating current. The power supply terminal provides the electrical energy required for driver U1 to operate, enabling its internal circuitry to function normally.

[0100] The sensing terminal of driver U1 is connected to the emitter of transistor Q4 via a variable resistor RP1. The variable resistor RP1 adjusts the magnitude of the input signal at the sensing terminal; by changing its resistance value, the sensitivity of driver U1 to the input signal can be adjusted. The sensing terminal is used to receive external signals and perform corresponding internal processing based on those signals.

[0101] The output of driver U1 is connected to the control terminal of switch Q3. After processing the signal received by the detection terminal, it outputs a corresponding control signal to control the conduction and cutoff of switch Q3.

[0102] The second terminal of the switching transistor Q3 is connected to the feedback terminal of the driver U1, forming a feedback loop. The operating status of the first training module 107 can be fed back to the driver U1 through the switching transistor Q3, enabling the driver U1 to understand the operating status of the first training module 107 in real time and make corresponding adjustments based on the feedback information.

[0103] For example, when transistor Q4 is turned on, current flows through resistor R7 to power driver U1, and simultaneously, an external signal enters the detection terminal of driver U1 through variable resistor RP1. Driver U1 processes the signal from the detection terminal and outputs a control signal to control the on / off state of switch Q3. When switch Q3 is turned on, the signal at the collector of transistor Q1 can be transmitted to the first training module 107, driving it to operate. Simultaneously, the operating state of the first training module 107 is fed back to the feedback terminal of driver U1 through switch Q3. Driver U1 adjusts the output signal based on the feedback information to ensure stable operation of the first training module 107. When transistor Q4 is turned off, driver U1 loses power and stops operating; switch Q3 is turned off, and the first training module 107 stops operating.

[0104] As can be seen from the above, the feedback loop constructed in this embodiment can accurately control the first training module 107 and ensure the stable operation of the first training module 107, effectively improving the quality and efficiency of upper limb rehabilitation training.

[0105] In one embodiment of this disclosure, reference is made to Figure 2 An intelligent rehabilitation training device for the upper limbs also includes a voice control module 109 and a magnetic control module 110;

[0106] Both the voice control module 109 and the magnetic control module 110 are connected to the main control card 101.

[0107] In this embodiment, the voice control module 109 is connected to the main control card 101, which means that voice commands can be transmitted to the main control card 101.

[0108] For example, users or rehabilitation therapists can control various functions of the rehabilitation training device using voice commands. For instance, users can directly say voice commands such as "start arm training," "stop training," or "increase training intensity," without needing to manually operate buttons or a touchscreen. This method greatly improves ease of use for users with limited upper limb mobility.

[0109] During rehabilitation training, users may find it inconvenient to operate the upper limb intelligent rehabilitation training device with their hands. The voice control module 109 allows users to control the upper limb intelligent rehabilitation training device without interrupting the training, making the rehabilitation training process smoother.

[0110] The magnetic control module 110 is connected to the main control card 101, enabling the magnetic control signal to be received and processed by the main control card 101.

[0111] This embodiment controls the rehabilitation training device by changing magnetic control signals. Magnetic control technology is characterized by high precision and stability, allowing for precise control of various parts of the device, such as the drive module 106 and each training module. For example, the movement speed, angle, and other parameters of the first training module 107 can be precisely adjusted using magnetic control signals to achieve more refined rehabilitation training.

[0112] Meanwhile, the magnetic control module 110 does not require direct physical contact, avoiding problems such as mechanical wear and poor contact, thus improving the reliability and service life of the device.

[0113] As can be seen from the above, by introducing the voice control module 109 and the magnetic control module 110, this embodiment significantly improves the convenience and personalization of rehabilitation training, ensuring the safety of rehabilitation training and providing users with a more intelligent and humanized rehabilitation training experience.

[0114] In one embodiment of this disclosure, reference is made to Figure 2 An intelligent rehabilitation training device for the upper limbs also includes a pulse rate and blood oxygen detection module 111;

[0115] The pulse rate and blood oxygen detection module 111 is connected to the first control card 102.

[0116] In this embodiment, the pulse rate and blood oxygen detection module 111 is connected to the first control card 102, and the detected data can be transmitted to the main control card 101 for centralized processing through the first control card 102.

[0117] This embodiment assesses a user's adaptation to the intensity of rehabilitation training over a period of time by continuously monitoring the trend of pulse rate changes. If the user's pulse rate gradually decreases under the same training intensity, it indicates that the user's cardiopulmonary function is gradually improving and their adaptability to the training intensity is increasing.

[0118] Blood oxygen saturation is an important indicator of the oxygen content in the blood. During rehabilitation training, monitoring blood oxygen saturation helps determine whether the user's respiratory and circulatory systems are providing sufficient oxygen to the body. A decrease in blood oxygen saturation indicates respiratory insufficiency or poor blood circulation, requiring timely adjustments to the training plan or appropriate treatment.

[0119] As can be seen from the above, this embodiment, by introducing the pulse rate and blood oxygenation detection module 111, provides more comprehensive physiological indicator monitoring for rehabilitation training. Whether in the initial assessment stage of rehabilitation training or in the subsequent training adjustment stage, the above physiological indicators can provide important reference for rehabilitation therapists or users, making rehabilitation training more scientific, safe, and effective.

[0120] In one embodiment of this disclosure, reference is made to Figure 2 An intelligent rehabilitation training device for the upper limbs also includes a storage module 112;

[0121] The storage module 112 is connected to the main control card 101.

[0122] In this embodiment, the storage module 112 is connected to the main control card 101, so that the main control card 101 can transmit various data to the storage module 112 for storage, and can also read relevant data from the storage module 112 for analysis and processing.

[0123] This embodiment can store the strength data of different muscle groups in the user's upper limb detected by the muscle strength detection module 104, which can reflect the user's muscle strength recovery at different stages. For example, the strength change trend of each muscle group after each rehabilitation training session. By analyzing the above data, rehabilitation therapists can evaluate the effectiveness of rehabilitation training and adjust subsequent training plans accordingly.

[0124] This embodiment can save relevant control parameters of the first training module 107 and the second training module 108, such as training intensity, training time, and exercise speed settings. When the user performs rehabilitation training again, the main control card 101 can directly read these parameters from the storage module 112 and quickly restore the previous training settings, improving the efficiency of rehabilitation training.

[0125] This embodiment stores the user's pulse rate and blood oxygen saturation data detected by the pulse rate and blood oxygen detection module 111, which can help understand the user's cardiopulmonary function status during rehabilitation training. By analyzing the physiological indicator data during multiple training sessions, the recovery status of the user's cardiopulmonary function can be determined.

[0126] As can be seen from the above, the existence of storage module 112 enables the long-term storage of user rehabilitation data. This embodiment not only facilitates rehabilitation therapists in tracking and evaluating users' rehabilitation progress but also has significant implications for long-term rehabilitation research. Through the analysis of a large amount of user rehabilitation data, this embodiment can summarize the rehabilitation patterns of users with different types of upper limb injuries, providing a scientific basis for optimizing rehabilitation training programs.

[0127] In one embodiment of this disclosure, reference is made to Figure 2 An intelligent rehabilitation training device for the upper limb also includes a communication module 113 and a touch display module 114;

[0128] The main control card 101 is connected to the touch display module 114 via the communication module 113.

[0129] In this embodiment, the main control card 101 is connected to the touch display module 114 through the communication module 113. The communication module 113 can ensure the stability and timeliness of data transmission between the main control card 101 and the touch display module 114.

[0130] The touch display module 114 can intuitively display various data of the user during rehabilitation training, such as muscle strength test data, sensor-detected position, angle and movement trajectory data, pulse rate and blood oxygenation data, etc. The above data are presented in the form of graphics, charts or numbers, enabling users and rehabilitation therapists to clearly understand the user's rehabilitation progress.

[0131] As can be seen from the above, this embodiment integrates a communication module and a touch display module 114, significantly improving user experience and rehabilitation efficiency. Through real-time communication, users can intuitively view training progress and adjust parameters on the touch display screen, enabling personalized rehabilitation plans.

[0132] The above embodiments are only used to illustrate the technical solutions of this disclosure, and are not intended to limit it. Although this disclosure has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this disclosure.

Claims

1. An intelligent rehabilitation training device for the upper limbs, characterized in that, include: The system includes a main control card, a first control card, a second control card, a muscle strength detection module, multiple sensor detection modules, a drive module, a first training module, and a second training module. The main control card is connected to the first control card, the second control card, and the drive module, respectively; The first control card is connected to the muscle strength detection module; The second control card is connected to the plurality of sensor detection modules respectively; The driving module is connected to the first training module and the second training module respectively; The muscle strength detection module is configured to detect the strength of the user's upper limbs; The driving module is configured to drive the first training module or the second training module; The first training module is configured to train the arms and shoulders; The second training module is configured to train the fingers and wrists.

2. The intelligent rehabilitation training device for the upper limb as described in claim 1, characterized in that, The multiple sensor detection modules include force sensors, position sensors, and angle sensors; The force sensor, the position sensor, and the angle sensor are all connected to the second control card; The force sensor is configured to detect the force applied by the user during training; The position sensor is configured to detect the position and movement trajectory of the user's arm; The angle sensor is configured to detect the angle of the user's joints.

3. The intelligent rehabilitation training device for the upper limb as described in claim 1, characterized in that, The drive module includes a first drive unit and a second drive unit; The first driving unit is connected to the first training module; The second driving unit is connected to the second training module; The first driving unit includes: transistor Q4, resistor R1, resistor R4, capacitor C1, transistor Q1, transistor Q2, and Zener diode D1; The base of transistor Q4 is connected to the main control card, the collector of transistor Q4 is connected to the VCC power supply, the emitter of transistor Q4 is connected to the emitter of transistor Q1, the emitter of transistor Q4 is connected to the cathode of Zener diode D1 through resistor R1, the anode of Zener diode D1 is grounded, the first end of resistor R3 is connected to the cathode of Zener diode D1, the second end of resistor R3 is grounded through capacitor C1, the second end of resistor R3 is connected to the base of transistor Q2, the emitter of transistor Q2 is grounded through resistor R4, the collector of transistor Q2 is connected to the base of transistor Q1, and the collector of transistor Q1 is connected to the first training module.

4. The intelligent rehabilitation training device for the upper limb as described in claim 3, characterized in that, The first drive unit further includes: driver U1, switch Q3, resistor R7 and rheostat RP1; The first terminal of the switch Q3 is connected to the collector of the transistor Q1, and the second terminal of the switch Q3 is connected to the first training module. The power supply terminal of the driver U1 is connected to the emitter of the transistor Q4 through the resistor R7. The detection terminal of the driver U1 is connected to the emitter of the transistor Q4 through the variable resistor RP1. The output terminal of the driver U1 is connected to the control terminal of the switching transistor Q3. The second terminal of the switching transistor Q3 is connected to the feedback terminal of the driver U1.

5. The intelligent rehabilitation training device for the upper limb as described in claim 1, characterized in that, It also includes a voice control module and a magnetic control module; Both the voice control module and the magnetic control module are connected to the main control card.

6. The intelligent rehabilitation training device for the upper limb as described in claim 1, characterized in that, It also includes a pulse rate and blood oxygenation detection module; The pulse rate and blood oxygen detection module is connected to the first control card.

7. The intelligent rehabilitation training device for the upper limb as described in claim 1, characterized in that, It also includes a storage module; The storage module is connected to the main control card.

8. The intelligent rehabilitation training device for the upper limb as described in claim 1, characterized in that, It also includes a communication module and a touch display module; The main control card is connected to the touch display module through the communication module.

Images