Robot system for active and passive upper limb rehabilitation training based on force feedback technology
A robot system for active and passive upper limb rehabilitation training based on a force feedback technology includes a robot body and an active and passive training host computer system. Active and passive rehabilitation training may be performed at degrees of freedom such as adduction/abduction and flexion/extension of left and right shoulder joints, and flexion/extension of left and right elbow joints according to a condition of a patient. In a passive rehabilitation training mode, the robot body drives the upper limb of the patient to move according to a track specified by the host computer, to gradually restore a basic motion function of the upper limb. In an active rehabilitation training mode, the patient holds the tail ends of the robot body with both hands to interact with a rehabilitation training scene, and can feel real and accurate force feedback.
1. A robot system for active and passive upper limb rehabilitation training based on a force feedback technology, comprising:
a robot body, comprising a pair of multi-degree-of-freedom manipulators configured for placing hands of a patient and a plurality of motor units, wherein a force/torque sensor is mounted on a tail end of each manipulator of the pair of multi-degree-of-freedom manipulators;
an active and passive training host computer system for an active rehabilitation training and/or a passive rehabilitation training, wherein when the robot system provides the passive rehabilitation training, the hands of the patient are supported by the tail end of each of the manipulators, and the host computer system calculates an expected position track of the tail end of each of the manipulators into a motion angle of at least one of the motor units according to a rehabilitation training action, and controls each of the manipulators to draw an upper limb to complete a training task set by the robot system; and when the robot system provides the active rehabilitation training, a virtual rehabilitation training scene is provided by a man-machine interaction interface, each of the manipulators serves as an interface for a man-machine interaction, the hands of the patient are adapted to control the tail end of each of the manipulators to move, and the robot system enables the patient to interact with the virtual rehabilitation training scene by using a visual feedback and a force feedback, to complete a task in the virtual rehabilitation training scene; and
wherein the active rehabilitation training comprises force feedback information, wherein a presentation manner of the force feedback information is that: the hands of the patient are adapted to control, by using the tail end of each of the manipulators, the virtual hands in the man-machine interaction interface to collide with a virtual object, the host computer system calculates force/torque information generated through a collision according to an algorithm, and allocates a force/torque to each of the motor units through statics analysis of each of the manipulators, and each of the manipulators presents a force on the upper limb of the patient, and allows the patient to feel the force during the active rehabilitation training.
2. The robot system for active and passive upper limb rehabilitation training according to claim 1 , wherein the robot body is adapted to be worn on a human body by employing a detachable part.
3. The robot system for active and passive upper limb rehabilitation training according to claim 2 , wherein the detachable part is a belt, and the pair of multi-degree-of-freedom manipulators are respectively mounted on opposite sides of the belt.
4. The robot system for active and passive upper limb rehabilitation training according to claim 1 , wherein the passive rehabilitation training comprises:
calculating, by the host computer system according to the rehabilitation training action, the expected position track of the tail end into a plurality of motion angles of each of the manipulators by using an inverse kinematics calculation formula of each of the manipulators, and storing the plurality of motion angles in the host computer system;
driving, by each of the manipulators, to make the upper limb perform a training according to a specified rehabilitation action until a specified quantity of times of training is reached; and
analyzing, by the host computer system, an accuracy level of an action of the upper limb of the patient according to feedback information provided from data transmitted by the robot body from each of the motor units to the host computer system in a training process, and scoring a rehabilitation effect, to obtain a line graph of a passive rehabilitation effect of the patient after the rehabilitation effect is scored a plurality of times.
5. The robot system for active and passive upper limb rehabilitation training according to claim 4 , wherein the feedback information from each of the motor units comprises an angle of a plurality of joints of each of the manipulators and/or a current provided to each of the motor units.
6. The robot system for active and passive upper limb rehabilitation training according to claim 1 , wherein the active rehabilitation training comprises visual feedback information, wherein
a presentation manner of the visual feedback information is that: the man-machine interaction interface of the robot system displays a scene of a rehabilitation training task and virtual hands of the patient, positions of the virtual hands change with positions of the hands of the patient, the positions of the virtual hands are obtained through a calculation by the host computer system by using a forward kinematics calculation formula of each of the manipulators according to angle information of a plurality of joints of each of the manipulators, and the man-machine interaction interface continuously updates the positions of the hands of the patient to provide the visual feedback information for the patient; and
a rehabilitation condition of the upper limb of the patient is analyzed, by the host computer system, according to information recorded in a training process, and a rehabilitation effect is scored, to obtain a line graph of an active rehabilitation effect of the patient after the rehabilitation effect is scored a plurality of times.