6476 results about "Rehabilitation training" patented technology

The invention relates to a motion control method of a lower limb rehabilitative robot. In the method, aiming at different rehabilitation stages of a patient, two working modes of passive training and active training are carried out: under the mode of passive training, the patient is driven by controlling the robot to finish specific motions or motion according to a right physiological gait track; abnormal motions of the patient are completely restrained; and the patient passively follows the robot to do walking rehabilitation training; under the mode of active training, limited abnormal motions of the patient are restrained by the robot; through a real-time detection on joint driving forces generated when the patient acts on the robot in the motion process, human-computer interaction moment is extracted by utilizing an inverse dynamic model to judge the active motion intention of lower limbs of the patient; and the interaction moment is converted into correction value of gait track by utilizing an impedance controller to directly correct or generate the gait training track the patient expects through an adaptive controller, therefore, the purpose that the robot can provide auxiliary force and resistant force for the rehabilitation training can be indirectly realized. By means of the motion control method of the lower limb rehabilitative robot, rehabilitation training motions suitable for different rehabilitation stages can be provided for a dysbasia patient, thereby enhancing active participation degree of the rehabilitation training of the patient, building confidence of the rehabilitation and positivity of the motion, and then enhancing effect of the rehabilitation training.

The invention provides a five-degree of freedom exoskeleton-type upper limb recovery robot interactive recovery training control strategy. The strategy comprises two training patterns corresponding to the different recovery period of a patient, i.e. a passive interactive recovery training control strategy and an active-auxiliary interactive recovery training control strategy; during passive movement, a surface myoelectric signal of relevant muscles on a healthy upper limb of a patient is picked up and taken as the movement intention of the patient, thereby controlling a robot to drive a diseased side to realize movement passive training; during active movement, the movement intention of an upper limb of a human body is judged through acquiring in real time the arthrosis force moment generated by a diseased limb acting on the robot during movement, and an applied force is converted into the velocity quantity of the tail end of a mechanical arm by means of a proportional controller, thereby driving the robot to follow the intention so as to carry out recovery active-auxiliary training of the diseased limb. The five-degree of freedom exoskeleton-type upper limb recovery robot interactive recovery training control strategy can provide all-around recovery training movement for a clinic hemiplegia patient, thereby increasing the activeness of the patient in recovery training and the confidence of the patient in recovery; meanwhile, the recovery training control strategy also increases the attractiveness of a recovery process and promotes recovery efficacy.

The invention discloses a lower limb exoskeleton rehabilitation robot in the technical field of medical equipment. The lower limb exoskeleton rehabilitation robot comprises an ankle joint motion module, a knee joint motion module, a hip joint motion module, a hip and support module and a crutch module, wherein one end of the knee joint motion module is connected with the ankle joint motion module, and the other end of the knee joint motion module is connected with the hip joint motion module; the hip and support module is connected with the hip joint motion module; and the crutch module is independent of an exoskeleton body. The lower limb exoskeleton rehabilitation robot can help patients who suffer from paraplegia stand up and walk, and the bend and stretch motion of a knee joint and a hip joint is controlled by collecting contact information of a crutch and the ground so as to help the patients to stride; and an oppositely-pulled spring of the knee joint can help to reduce impact from the ground, so that patients can walk comfortably, and the efficiency of rehabilitation training is improved.

The invention discloses a multi-freedom wearable robot for hand function recovery. The robot comprises mechanical arms and mechanical fingers; the mechanical fingers consist of a mechanical thumb, a forefinger, a middle finger, a ring finger and a little finger, wherein the forefinger, the middle finger, the ring finger and the little finger have the same structure as that of the thumb; the mechanical forefinger mainly comprises air muscle, a finger end bracket, a first middle connecting piece, a finger front end bracket and a second middle connecting piece which are connected in turn through a connecting rod; the air muscle drives the second middle connecting piece to move through a rigid string so that the finger of a patient makes lituate and adduction exercises; the inside of each connecting piece is provided with a pressure spring; and inside walls of the two connecting pieces are distributed with rolling beads to reduce friction between the connecting rod and the connecting pieces. The invention also provides a control system and an integrated electricity stimulation system of the robot to assist a patient to rebuild muscle function. The robot provides an assisted exercise mechanism for the fingers, has multiple freedom degrees and dimension adjustable movement mechanism, and can effectively assist the patient to finish repeated training of composite exercise for fingers and complicated finger dividing exercise.

The present invention relates to a wearable robot system for rehabilitation training of the upper limbs that has an improved structure to reproduce in detail motion of a human body by selecting a wearing type structure such that robot links move correspondingly to the motion of the upper limbs while decreasing the volume of a rehabilitation and assistance device based on a robot for rehabilitation training of the upper limbs. According the present invention, it is possible to decrease the volume and increase the available space, in addition to creating smooth motion without interfering with the human body by creating a plurality of robot motion paths and selecting the best path from them, because an operation of four degrees of freedom can be achieved by an operation procedure using redundant.

The invention discloses a variable-impedance lower limb rehabilitation robot control method based on brain muscle information. The method includes: collecting electroencephalogram and surface electromyogram signals of a patient in real time through an electroencephalogram and surface electromyogram signal collector, and monitoring and evaluating rehabilitation degree of the patient; adopting different rehabilitation training strategies; when the rehabilitation degree is low, implementing passive training control, adopting a PD position servo control method, and controlling a lower limb rehabilitation device to enable the patient to move with a correct physiological gait track; when the rehabilitation degree is high, adopting an active control mode, and predicting a movement intention of the patient by extracting feature vectors of electroencephalogram signals and surface electromyogram signals of the patient in real time; using a fuzzy neutral network algorithm to integrate the electroencephalogram signals and the surface electromyogram signals to generate a movement gait track curve expected by the patient in real time; utilizing a variable-impedance control method to realize active, realtime and synergistic control of a lower limb rehabilitation robot man-machine system.

A human lower extremity exoskeleton walking aid rehabilitation robot belongs to the technical field of medical rehabilitation equipment, and comprises a lower back movement module, a hip joint movement module, a knee joint movement module and an ankle joint movement module, wherein a back servo motor drives a hip joint to move through a crank and rocker mechanism and a space four-links mechanism; an electric knee push rod drives a knee joint to move; an electric ankle push rod drives an ankle joint to move. The human lower extremity exoskeleton walking aid rehabilitation robot helps a patient with lower limb paralysis to stand and walk, and the flexion and extension movement of the hip joint, the knee joint and the ankle joint is controlled by acquiring pressure signals of soles of feet, so that the patient is helped to stride; the construction and model design of the ankle joint inversion and eversion passive driving degree of freedom can help to reduce impact from the ground, is conductive to reducing the burden of a user keeping balance of the self and the exoskeleton robot in a frontal plane, is beneficial for the patient to walk comfortably, and improves the rehabilitation training efficiency.

The invention discloses a multifunctional intelligent rehabilitation robot for assisting stand and walk. The whole robot comprises three parts basically: a mechanical stand assisting device, a chassis moving device and a monitoring control device, wherein the mechanical stand assisting device comprises a support base, a swing arm, an electric push rod and a handrail device; the chassis moving device comprises a base, a motor fixing frame, four Mecanum wheels, a braking ratchet wheel, a braking sheet, and the like; the monitoring control device comprises a force sensor array, a vision sensor, a distance-measuring sensor, and the like; and in addition, the robot also comprises a power source storage battery, and the like. The robot can realize the auxiliary stand and walk assistance to a user, can lift the user up safely and comfortably under the condition of sitting posture, judge the motion intention of the user in the walking process and carry out all-sided collaborative motion; meanwhile, the robot can also detect the moving tread of the user so as to judge the stability of the user and do corresponding assistance to the user at the real time; and the robot can safely and effectively assist patients with lower limbs being injured to carry out rehabilitation training and assist the daily activities of weak old people.

The invention discloses a walking aid exoskeleton rehabilitation robot in the technical field of rehabilitation engineering, which comprises a mobile auxiliary mechanism, a control mechanism and an exoskeleton prosthesis mechanism, wherein the mobile auxiliary mechanism is connected with the exoskeleton prosthesis mechanism, and the control mechanism is connected with the mobile auxiliary mechanism and the exoskeleton prosthesis mechanism respectively. The exoskeleton prosthesis mechanism has compact design structure and large rotation range of each joint, and can meet the requirement on actual motion of a human body. By adopting a servo motor to drive, the control precision is high, and the output torque is large; and the mobile auxiliary mechanism rotates under the driving of the servo motor, can freely move, and has higher climbing capacity and movement speed. The height of the mobile auxiliary mechanism is adjusted to be applied to people with different heights. When the patient undergoes gait rehabilitation training, the human gravity center is actively adjusted to accord with the characteristics that the human body is fluctuated along with alternative gait. The mobile auxiliary mechanism also can support the human body, prevent people from tumbling in walking, and guarantee the whole stability.

The invention discloses a wearable hand function rehabilitation robot, which is mainly used for assisting the repeated movement function rehabilitation training of the patient with hand movement function disorder which is caused by stroke, brain trauma, spinal cord injury and peripheral nerve injury in communities or families. The robot system extracts the active movement will of the patient by detecting the multi-channel surface myoelectric signals of the affected hand and obtains the state of the affected limb by combining the data which is measured by an angle and force sensor to carry out the rehabilitation training of the affected hand by pneumatic muscle contraction assistance by using the intelligent control algorithm on the basis. The rehabilitation robot has multiple degrees of freedom, which can assist the affected hand to carry out multi-joint complex movement and inosculate the multi-sensor data information fusion during the rehabilitation process to be further used for the evaluation of rehabilitation effect, and the activity and the training interest of the patient can be improved by using the rehabilitation treatment virtual environment on a computer. The invention has the advantages of simple structure, flexible movement, safety and reliability, which can not only realize the rehabilitation training of the movement function of the affected hand, but can also be in line with the physiologic structure characteristics of human hands. The invention is more comfortable to wear.

To achieve “ecological” robotic rehabilitation therapy, the present invention provides the system capacity of training of patients in different ambulatory tasks utilizing motorized footplates that guide the lower limbs according to human gait trajectories generated for different ambulatory tasks of interest. A lower extremity robotic rehabilitation system comprises an active pelvic / hip device which applies series elastic actuation to achieve an intrinsically safe and desirable impedance control. A robotic unit features the telepresence operation control that allows a patient stay at home or nursing home to continue his or her rehabilitation training under a physician's remote supervision and monitoring. The robot unit utilizes an affective patient-robot interface to capture emotional information of the patient, to allow for real-time adaptation of the robotic system and adjustments of treatment protocol, and to enhance the quality and effectiveness of rehabilitation

The invention discloses an upper limb exoskeleton rehabilitation robot control method based on a radial basis neural network. The method includes the steps that a human body upper limb musculoskeletal model is established; upper limb muscle myoelectric signals and upper limb movement data are collected, the movement data are imported into the upper limb musculoskeletal model, upper limb joint torque is obtained, the radial basis neural network is established and a neural network model is given out; the patient movement intention is recognized, the joint angular speed is subjected to fusion analysis, the result is used for recognizing the training object joint stretching state, and the limb movement intention is determined; and myoelectric signals and joint angles in affected side rehabilitation training are collected in real time, affected side joint torque is obtained through the neural network, joint torque needing to be compensated by an exoskeleton mechanical arm is calculated, myoelectric signal fatigue characteristics are analyzed, the compensation torque magnitude can be adjusted by classifying the degree of fatigue, and a torque controller can be controlled to achieve the effect that an upper limb rehabilitation robot assists patients in rehabilitation training by combining the movement intention. By means of the upper limb exoskeleton rehabilitation robot control method, the rehabilitation training process is made to be more suitable for the patients, man-machine interaction is strengthened, and the rehabilitation effect is improved.

The invention aims to provide a gait rehabilitation robot for using a rope to pull lower limbs, which comprises a frame and a treadmill. The gait rehabilitation robot is characterized in that the gait rehabilitation robot also comprises a connecting rod system, a rope pulling system and an angle sensor; the treadmill is arranged in the frame; the connecting rod system and the rope pulling system are arranged on the frame; and the angle sensor is arranged on the connecting rod system. The gait rehabilitation robot can be used for patients paralyzed caused by cardiovascular and cerebrovascular diseases and patients with injury of the lower limbs due to an accident and the like to carry out gait rehabilitation training, also can be used for physical training of the healthy elderly and has simple structure and low cost.

The invention relates to a lower limb rehabilitation training exoskeleton with bionics design. An existing lower limb rehabilitation training exoskeleton is complex in driving structure, low in the response speed and not ideal in rehabilitation training effect, and lacks bionic consideration. The lower limb rehabilitation training exoskeleton comprises a waist tightening mechanism and lower limb exoskeleton leg rods, wherein the waist tightening mechanism is connected with the waist of a wearer, the left lower limb exoskeleton leg rod and the right lower limb exoskeleton leg rod respectively have four degrees of freedom and achieve three degrees of freedom of hip joints through a hip joint adduction and abduction mechanism, a hip joint bending and stretching mechanism and a hip joint medial rotation and lateral rotation mechanism. The axes of the three rotation degrees of freedom are orthogonal at the motion center of the hip joints of the human body. The rotation center of a knee joint bending and stretching mechanism moves along with the rotation center of the knee joints of the human body, so that the exoskeleton and the rotation center of the knee joints of the human body are always kept in the same axis. The hip joint bending and stretching mechanism and the knee joint bending and stretching mechanism are directly driven by a motor in cooperation with a speed reducer. The lower limb rehabilitation training exoskeleton is compact and portable in structure, man-machine interference force is avoided, damage caused by rehabilitation training to the knee joints is reduced, and the whole rehabilitation training becomes more natural and easier.

The invention discloses an exoskeletal rehabilitation robot for upper limbs. The exoskeletal rehabilitation robot comprises a base, two mechanical arm assemblies and six motor driving components, wherein the base comprises a moving base, an electrical cabinet, an electric lifting post, a base platform, a motor mounting corner bracket, a base rotating motor, a coupling, a base main bearing block, a base and ball screw nut assembly, a base nut seat, a base shared secondary bearing block, a right support, a base linear guide rail assembly and a left support; the mechanical arm assembly comprises a mechanical shoulder girdle assembly, a mechanical shoulder joint assembly, a mechanical elbow joint assembly, a mechanical front arm assembly, a mechanical wrist joint assembly and a mechanical hand part assembly; each motor driving assembly comprises a motor and speed reducing component, a torque sensor component and a driving component which are respectively arranged on the same motor driving base frame. The exoskeletal rehabilitation robot can be worn on the upper limbs of the human body and can be used for assisting the upper limbs of the human body in moving in a three-dimensional space and performing rehabilitation training.

Provided is an intelligent learning platform for children with autism. The intelligent learning platform for the children with the autism is composed of a capacity evaluation system, a learning and training system and an information management system. The capacity evaluation system and the learning and training system of the intelligent learning platform are arranged on a client-side in a coupling mode, the information management system is arranged on the internet or a local area network server, and the capacity evaluation system and the learning and training system achieve transmission and sharing of data and information through an internal storage sharing mode or a file mode. The capacity evaluation system and the learning and training system achieve transmission and sharing of data and information through a network service and information management system. The intelligent learning platform can provide scientific, personalized and systematized service for the children with the autism, and greatly facilitates the contact of parents and specialized persons and capacity evaluation on the children with the autism. A learning target can be designed and adjusted purposefully and a corresponding computer assisted learning activity is established according to an evaluation result. Meanwhile, the rehabilitation training records of the children with the autism are managed through an informationalized method, and the rehabilitation effect of the children with the autism can be tracked conveniently for a long time.

The invention discloses a rope-driven waist rehabilitation robot. The robot comprises a frame, a gravity balance unit, rope winding and unwinding units, a rope-driven rehabilitation exercise unit and a control unit, wherein the rope-driven rehabilitation exercise unit comprises a rehabilitation waist belt, pulling ropes and a guide pulley; the rehabilitation waist belt is at least connected with six pulling ropes; each pulling rope corresponds to one rope winding and unwinding unit; and the control unit controls the length change of the corresponding pulling rope by controlling each rope winding and unwinding unit so as to drive the waist of a rehabilitation patient to move along a pelvic movement track of a normal person during walking. Therefore, aiming at the problem of a coordination control mode of controlling the pelvic movement track of the rehabilitation patient in the rehabilitation training process, the rehabilitation patient can move along the pelvic movement track of the normal person under standing and walking conditions through the coordinated action of a set of gravity balance unit and a plurality of pulling ropes so as to achieve an effective waist rehabilitation training effect; and the robot can perform configuration change and rehabilitation training amplitude and strength adjustment according to the disease condition and individual difference of the rehabilitation patient.

The invention discloses a lower limbs rehabilitation training robot, which comprises an exoskeletal mechanical structure and a control system independent of the mechanical structure, wherein the exoskeletal mechanical structure comprises thigh mechanisms and shank mechanisms, which are bilaterally symmetrical and connected with a waist mechanism in turn; imitation human hip joints are arranged at the connection part of the waist mechanism and the thigh mechanisms; imitation knee joints are arranged between the connection parts of the thigh mechanisms and the shank mechanisms; the waist mechanism comprises a waist part connecting plate and flexible connecting plates which are connected with the waist part connecting plate in a bilateral symmetrical manner; the waist mechanism, the left and right thigh mechanisms and the left and right shank mechanisms are provided with flexible connecting bands for connecting the corresponding parts of a human body with the robot; the control system is independent of the mechanism of the robot and is connected with the robot body through data wires for controlling rehabilitation training; and the control system comprises hardware and software, the soft ware comprises a user module, a real-time control module and a rehabilitation effect evaluation module.

The invention provides a wearable 7-degree-of-freedom upper limb movement rehabilitation training exoskeleton which comprises a supporting rod and an exoskeleton training device which are fixed on a base, wherein the exoskeleton training device is formed by connecting a shoulder adduction / abduction joint, a shoulder flexion / extension joint, a shoulder medial rotation / lateral rotation joint, an elbow flexion / extension joint, an elbow medial rotation / lateral rotation joint, a wrist adduction / abduction joint and a wrist flexion / extension joint in series. The joints are directly driven by a motor, wherein the shoulder and elbow rotating joints are additionally provided with a spur-gear set, the structure is simple, and the response speed is high. Compared with the prior art, the exoskeleton provided by the invention has more degrees of freedom of movement and can adapt to standing and sitting training. The length of an exoskeleton rod can be adjusted according to the height of a patient, thereby ensuring the wearing comfort. A spacing structure is adopted by the joints, thereby improving the safety. Angle and moment sensors at the joint points can acquire kinematic and dynamic data of each joint in real time, thereby being convenient for physical therapists to subsequently analyze and establish a training scheme to achieve an optimal rehabilitation effect.

The invention discloses an upper limb movement rehabilitation training system and method based on a Kinect sensor. The system comprises the Kinect sensor and a computer carrying an upper limb movement rehabilitation training module. The Kinect sensor is connected with the computer through a data line and arranged above a computer display screen. The upper limb movement rehabilitation training module comprises a single-joint rehabilitation training module, a comprehensive rehabilitation training module, a grading module and a correcting module and can conduct upper limb single-joint training and comprehensive training of shoulders, elbows and wrist joints. Patients do not need to wear or operate any interactive devices and only need to face the Kinect sensor and finish rehabilitation training movement according to the words or voice prompt on the display screen. The Kinect sensor conducts position capture on the upper limb joints, records and feeds back space position information of the upper limb joints of the patients in real time, guides the patients to finish rehabilitation training through motion sensing interaction and corrects non-standard training movement. The training method is simple, easy to master, good in enjoyment and low in use device cost.

The invention relates to hand function rehabilitation training equipment based on a spontaneous movement imagery electroencephalograph. Hardware of the instrument consists of an electroencephalograph signal acquisition and processing module, a hand force signal real-time detection sensor array, a control module based on multisource information fusion and a rehabilitation manipulator module, and software for supporting the active rehabilitation training of hand functions is arranged in a computer. The rehabilitation training equipment provides external compensation assistance or resistance hierarchically by taking movement imagery electroencephalographs of patients who suffer from cerebral injury as a starting signal and the muscle force of hands as a feedback signal in a self-adaptive mode according to the myasthenia state of the patients to assist patients who suffer from dyskinesia in performing passive, assisted and active rehabilitation training, displays the state information of the hand movement functions and the provided external power information for doctors and the patients and provides an objective and quantitative assessment method and an index for clinical rehabilitation diagnosis and treatment. The instrument is easy to use, has a friendly interface and is accepted by the doctors and the patients easily. A user can operate a system of the instrument without programming experiences, and the operating environment is not complex.

The invention discloses an exoskeletal rehabilitation robot for upper limbs. The exoskeletal rehabilitation robot comprises a base, a mechanical shoulder girdle assembly, a mechanical shoulder joint assembly, a mechanical elbow joint assembly, a mechanical front arm assembly, a mechanical wrist joint assembly, a mechanical hand part assembly and a motor driving assembly, wherein the base supports the whole exoskeletal rehabilitation robot for the upper limbs; the mechanical shoulder girdle assembly is connected with the base; the mechanical shoulder joint assembly is connected with the mechanical shoulder girdle assembly; the mechanical elbow joint assembly is connected with the mechanical shoulder joint assembly; the mechanical front arm assembly is connected with the mechanical elbow joint assembly; the mechanical elbow joint assembly is connected with the mechanical front arm assembly; the mechanical hand part assembly is connected with the mechanical wrist joint assembly; the motor driving assembly is used as a power source of the whole exoskeletal rehabilitation robot for the upper limbs. The exoskeletal rehabilitation robot disclosed by the invention can be used for assisting the upper limbs of a human body in moving in a three-dimensional space and performing rehabilitation training.

The invention provides rehabilitation training system and method combined with functional electric stimulation and a robot. The system comprises a functional electric stimulation part, a robot part and a control unit which is respectively connected with the functional electric stimulation part and the robot part, wherein the control unit is used for receiving bioelectric signals and controlling the functional electric stimulation part and the robot part at real time according to the mode of adjustable auxiliary proportion of the functional electric stimulation part and the robot part or the mode of adjustable tracking error so that the functional electric stimulation part can stimulate the corresponding muscle groups of a joint of a patient and the robot part can provide a joint auxiliary torque for the patient. The invention can be applied to progressive interactive rehabilitation of elbow joints, wrist joints, knee joints, ankle joints and shoulder joints and can help patients carry out active rehabilitation training in an improved movement space, thereby greatly accelerating the recovery of movement function of joints of affected sides.

The invention relates to an artificial-intelligence exercise assisting device. The artificial-intelligence exercise assisting device is mainly used for lower-limb walking assisting and lower-limb rehabilitation training. According to the technical scheme, the artificial-intelligence exercise assisting device comprises a structure supporting system, sensors, sensor circuits, a signal processing system (a mobile calculation platform), a driving executing device, a power system and a walking stick. The artificial-intelligence exercise assisting device has the advantages that the dilemma that movement of the lower limbs of a paralysis patient, a hemiplegic paralysis patient, a fracture patient and an old bone joint retrogressive disease patient is inconvenient is overcome. A user wears an exoskeleton wearing assisting device, human body signals and the assisting device interact with each other and are matched, the human body transmits a control command to the exoskeleton wearing assisting device, exoskeleton detects the human body signals, a proper command is obtained after artificial intelligence calculation, then driving mechanisms provide energy required by movement for the lower limbs of the human body, and the finally the effect that artificial intelligent and mechanical force are supplemented and interacted is achieved. According to the artificial-intelligence exercise assisting device, the human body control signals and the artificial intelligence of a machine are fused, the balance of the gravity center of the human body is controlled, and mild control over the exoskeleton assisting device is obtained.

The invention discloses a wearable hand exoskeleton rehabilitation training robot. The wearable hand exoskeleton rehabilitation training robot comprises a hand fixing device which is fixed with a hand back and a wrist, wherein the hand fixing device is connected with a thumb rehabilitation system and a four-finger rehabilitation system; the thumb rehabilitation system comprises a thumb power source and a thumb mechanism connected with the thumb power source; the four-finger rehabilitation system comprises a four-finger linear motor, an index finger mechanism, a middle finger mechanism, a ring finger mechanism and a little finger mechanism which are connected with the four-finger linear motor; the thumb mechanism, the index finger mechanism, the middle finger mechanism, the ring finger mechanism and the little finger mechanism are respectively connected with all joints of the fingers; pressure sensors are arranged at the connecting ends; the thumb rehabilitation and the four-finger rehabilitation system are driven by a thumb middle motor, a thumb linear motor and a four-finger linear motor to move, so as to drive the fingers to perform exoskeleton rehabilitation training. The device is small in size, intelligent, easy to wear and good in portability.

The invention discloses an ankle-joint exercising device based on paralleling mechanism, which comprises the following parts: rotary mechanism with one free degree, spherical paralleling mechanism with two free degrees and tray, wherein the spherical paralleling mechanism is composed of mobile platform to fix tray, two branched chains and fixed platform, which connect each other through driving spoke; the fixed platform of spherical paralleling mechanism connects rotary component of rotary mechanism rigidly, which is set on the rack bearing of rotary mechanism through driving spoke to form 3 free degrees; the tray is assembled on the mobile platform of spherical paralleling mechanism.

The invention provides a wearable upper limb exoskeleton rehabilitation device, which includes a fixed backboard served as a base; a driver module can make torque force transfer to each joint by Bowden cable; an exoskeleton module of elbow join is used for coupled rehabilitation movement. rehabilitative training of the elbow, coupled rehabilitation of forearm and exoskeleton of the upper arm and the exoskeleton; a mechanical hard limit device for joint, can achieve mechanical hard limit protection for a forearm connecting rod and a upper arm connecting rod; a three direction adjustable adaptive module, the position of joint winch in the shoulder adduction is adjusted to adopt different somatotype of the patients; a shoulder joint module, the shoulder joint module can achieve rehabilitation training for abduction degree of freedom in the shoulder and rehabilitation training of shoulder flexion and extension degree. The Wearable upper limb exoskeleton rehabilitation device makes use of the wearable structure to realize the free movement of patients during rehabilitation training.

The present invention relates to an apparatus and method for lower-limb rehabilitation training of a patient with lower limb paralysis. The invention measures the usage of the paralyzed lower limb, and based upon the measurement, forces patients with lower limb paralysis to use partially paralyzed muscles which they are not likely to use. The apparatus can measure the weight load and the angle of the joint, and by using the measure values as variables, display the condition of paralysis to the patient so that he / she can recognize his / her present condition of paralysis, and enable the user to training through feedback. The joint includes all of knee joint, ankle joint and hip joint of the lower limb, and the movement of important muscles of the lower limb can be detected. With the apparatus attached, the patient can perform a balance training of alternatively raising the paralyzed lower limb and the normal limb, a standing training of bending and straightening both knees of the lower limbs and a walking training of using the both lower limbs.

A robot for the recovery training to single joint movements of hemiplegia patient is composed of supporting unit fixed to base, the first driver linked to said supporting unit and moving up and down along a slide track, the second driver fixed to the second horizontal drive axle of said the first driver, and an auxiliary arm unit fixed to the fourth drive axle. Its advantages are high effect to train the movement of shoulder and elbow joints and high safety.