1334 results about "Rehabilitation exercise" patented technology

A spine rehabilitation exercise device comprises a soleplate; and an exercise mechanism disposed on the soleplate, wherein the exercise mechanism comprises a sliding mechanism movably disposed on the soleplate; a supporting base movably mounted on top of the sliding mechanism, the supporting base being capable of rocking on top of the sliding mechanism; a pillow mounted on the supporting base; and an elastic assembly disposed between the pillow and the supporting base. The whole device has simple structure, convenient assembly, small and compact volume and good mobility and portability; the device can not only have health care and therapeutic effects on spine, but also be used as a pillow on other occasions, thereby having high practicability and better flexibility in use; moreover, the device is not driven by a power supply, so that it is safer and more reliable to use.

The invention relates to an upper limb rehabilitation training robot which comprises a first joint, a second joint, a third joint, a fourth joint and a fifth joint; the five joints are sequentially connected serially; the movement of all the joints respectively corresponds to the unfolding/folding of shoulder joints, the bending/extension of the shoulder joints, the bending/extension of elbow joints, the internal rotation/external turning of forearms, the bending/extension of wrist joints and the bending/extension of fingers; all the joints of the robot are driven by independent motors; each joint is provided with a mechanical hard limit and an electric limit to protect the training of a patient; and the second joint and the fourth joint are respectively provided with a adjustment device capable of adjusting relative positions between the second joint and the third joint and between the third joint and the fifth joint. The upper limb rehabilitation training robot provides various rehabilitation movement for the turning of the shoulders, elbows and forearms as well as the wrist and finger joints of the upper limbs of the patient in a three-dimensional space, and can complete the upper limb rehabilitation training to the upper limbs of the patient with higher quality.

A process is disclosed to visually capture a person doing a set of steps for an exercise, and then to compare that person during exercise to those steps, measuring the results. Each exercise is tailored to the individual patient, rather than to an “ideal” or “generic” standard. This flexibility allows a physical therapist to optimize treatment for patients progressively, and/or to accommodate multiple physical problems in one patient. This invention can be used as a medical software product under the guidance of a physical therapist for rehabilitation exercises. It may alternatively be used as a fitness or sports training device under the guidance of a trainer or coach. By providing visual data and tracking results, it enhances communication between the physical therapist and the patient (or trainer and athlete), and optionally, the physician.

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 relates to a robot for rehabilitation training of an ankle joint. The robot comprises a movable platform provided with a pedal plate, a base provided with a sliding chute and a regulating mechanism. The regulating mechanism comprises a central constraint rod, a guide rail, at least two support rods and a driving motor, wherein the central constraint rod is rotatably connected with the movable platform by virtue of a spherical pair; the guide rail is contained in the sliding chute, and is internally provided with a lead screw and a sliding block which is sheathed on the lead screw and can slide on the lead screw; the support rods are uniformly distributed by surrounding the central constraint rod, one end of each support rod is rotatably connected with the movable platform byvirtue of the spherical pair, and the other end of each support rod is movably connected with the sliding block; besides, the driving motor drives the lead screw to rotate so as to cause the sliding block to slide on the lead screw, thus the support rods drive the surface of the movable platform to incline, and the movable platform can incline in different freedom degrees as at least two support rods are adopted. When a diseased limb of a patient is placed on the pedal plate, the limb can take multi-freedom-degree rehabilitation exercises such as introversion/extroversion, adduction/abductionand dorsal flexion/plantar flexion along with inclination of the movable platform.

A power-controlled bed mainly includes an upper bed frame on which a mattress divided into movable back, thigh, and leg rest parts and a fixed hip rest part is supported; a lower bed frame; at least one lifting mechanism pivotally connected at upper and lower ends to the upper and the lower bed frames, respectively; and a microcomputer controller for controlling operation of the lifting mechanism. The lifting mechanism may be manually controlled for the upper bed frame to statically stay at different positions, or be automatically controlled via the controller to dynamically shift the upper bed frame between two or more selected position combinations, so that the force of gravity is well utilized in the movements of the bed to promote a user's blood circulation, help clearing of sputum, enable sufficient supply of oxygen to the brain, do rehabilitation exercises, etc.

The invention relates to an intelligent rehabilitation robot system for upper limbs in motor imagery and a training method thereof, and belongs to the field of motor imagery. The system comprises a motion visual stimulation module, an electroencephalogram acquisition module, an upper computer, and an upper limb rehabilitation movement bracket; the upper computer produces corresponding motion stimulation videos according to a rehabilitation training program, and displays the videos to a user through the motion visual stimulation module; the electroencephalogram acquisition module collects synchronous electroencephalogram signals of the user, carries out an amplification and filtering pretreatment, and transmits the electroencephalogram signals to the upper computer; after receiving the electroencephalogram signals, the upper computer generates rehabilitation training control signals through a feature extraction and pattern classification algorithm and outputs the rehabilitation training control signals to the upper limb rehabilitation movement bracket; the user fastens the limb through a fixing mechanism to the upper limb rehabilitation movement bracket, and the rehabilitation movement bracket receives the training control signals and conducts rehabilitation exercise training on the limb according to the corresponding control signals. According to the intelligent rehabilitation robot system for upper limbs in motor imagery and the training method thereof, the precision of rehabilitation training is improved, and the visual comfort of the user is improved.

The invention provides a rope-driven exoskeleton type upper-limb rehabilitation robot system, comprising a supporting seat, a control system and a driving device, wherein a shoulder rope rack adjusted and positioned above a human shoulder joint is fixedly arranged on the supporting seat; an upper arm ring and a forearm ring are respectively and fixedly arranged on a human body upper arm and a human body forearm; a forearm rope penetrates through a rope outlet hole in the shoulder rope rack, and is connected with the forearm ring; an upper arm rope penetrates through the rope outlet hole in the shoulder rope rack, and is connected with the upper arm ring; a tension pressure sensor for measuring the tension of the rope in real time is connected in series with the interior of each of the upper arm rope and the forearm rope; the control system is connected with the tension pressure sensor; the driving device is connected with the control system; the driving device is simultaneously connected with the upper arm rope and the forearm rope; the tension pressure sensor feeds back a tension signal to the control system; the control system controls the driving device to drive the upper arm rope and the forearm rope to stretch or retract according to the position feedback of the driving device and the feedback of the tension pressure sensor, so that the exercise of rehabilitating an arm is realized. According to the rope-driven exoskeleton type upper-limb rehabilitation robot system, the single-joint exercise of the human body upper arm and the human body forearm and the compound exercise of a whole upper limb can be realized; therefore the function of rehabilitation exercise is realized.

A rehabilitation treadmill includes a running belt, a plurality of pace sensors mounted to two opposite sides of the running belt, and a control panel. When a user intends to do rehabilitation exercise via the rehabilitation treadmill, the pace sensors can detect the user's footstep to generate and transmitting an activation signal and a stop signal to the control panel and then the control panel can activate or stop the running belt subject to the activation or stop signal. In this way, the user can repeatedly put his or her feet on running belt alternately to effectively have the rehabilitational effect.

The invention discloses a leg rehabilitation exercise device for orthopedics, comprising a seat, a backrest is integrally connected with one side of the upper surface of the seat, a first leg massagemechanism and a second leg massage mechanism are mounted on the seat, a back massage mechanism is installed in the backrest, the first leg massage mechanism includes a forward/reverse motor, a threaded rod, a massage roller, a gear and a rack, the second leg massage mechanism includes a rotating shaft, a curved massage plate, a second gear and a driving mechanism, and the back massage mechanism comprises a second massage roller and a mounting plate. The leg rehabilitation exercise device of the invention is provided with the first leg massage mechanism and the second leg massage mechanism, canfully perform omni-directional massage on positions of different leg thicknesses, also massages the side and upper side of a leg for further promoting blood circulation and relaxing muscles. The device is also provided with the back massage mechanism, conducts repeated massage on the back of a human body for relaxing the back muscles, relieving fatigue, regulating blood and promoting blood circulation, and is conducive to patient rehabilitation.

An apparatus to assist a user in the bending or moving of their knee/leg area that can be used to increase mobility and/or perform rehabilitation exercises is herein disclosed, comprising a unitary piece of heavy textile, and a central strap provided about the upper half of one (1) side. In such a manner the strap forms a sling-like arrangement which holds the textile fabric about the bottom of one's foot. A long nylon strap is centrally provided on the bottom of the fabric where it is bisected by the arch of one's foot. To use the apparatus, the user simply slips their foot onto the textile sling, and grabs the two (2) loose ends of the long strap. Next, by lifting up on the strap, the user can aid in the movement of one's leg to simulate motion and resistance and thus aid in the rehabilitation of the leg and knee muscles.

The invention discloses an NUI (Natural User Interface)-based peripheral arm motion tracking rehabilitation training system. The system comprises an NUI-based peripheral skeleton data processing subsystem, a circuit is connected with a robotic arm control subsystem of an output end of the NUI-based peripheral skeleton data processing subsystem, and connected with a rehabilitation robotic arm of an output end of the robotic arm control subsystem; the NUI-based peripheral skeleton data processing subsystem adopts Kinect equipment of the Microsoft Company. According to the invention, the Kinect equipment is used for capturing the arm three-dimensional coordinate data and controlling the motion of the external robotic arm, and the robotic arm drives patients to do the rehabilitation exercises without any electronic appliance being put on a therapist, thus solving the restriction that the therapist can only treat the paralytic patients in an one-to-one manner traditionally; and meanwhile, the accuracy of performing multiple rehabilitation trainings for the patients is promoted, the burden of the therapist is lightened, and the effect after the patients receive the rehabilitation training is enhanced.

The invention discloses an upper limb rehabilitation system based on biological signals. The upper limb rehabilitation system based on the biological signals is characterized in that a brain electric cap is attached to the surface of a brain, brain electric signals can be sensed through the brain electric cap, features of the brain electric signals are extracted and classified sequentially through a CSP feature extraction algorithm and a classifier with an adaptive LDA classification algorithm after amplification, filtering and noise reduction are performed on the brain electric signals, and then the brain electric signals are translated into drive instructions used to control drive motor equipment and pneumatic tendon auxiliary equipment, a system central processing unit fuses and sorts the drive instructions and motion state data collected by a motion state collector, and then feeds the drive instructions and the motion state data, which are fused and sorted, back to the drive motor equipment, the pneumatic tendon auxiliary equipment and a mobile terminal, and therefore a mechanical arm is driven to perform rehabilitation exercise. Work personnel remotely monitor motion and rehabilitation states of patients through the mobile terminal, and the patients also can invoke rehabilitation games in a display platform through a voice input and output device so as to perform auxiliary rehabilitation training. Accordingly, the upper limb rehabilitation system based on the biological signals improves training effectiveness of the patients, and simultaneously guarantees safety and stability in the training.

A method and apparatus permitting a user to perform rehabilitation exercises despite having limited range of motion. Provided is a rehabilitation exercise device having a belt portion, which is to be fixed as a conventional belt to the waist of the user. The belt portion has laterally adjustable connectors for the attachment of elastic members/straps which are connected to the legs of the user, for various rehabilitary exercises based on the application of force required for the stretching of the elastic straps.

A robotic limb rehabilitation apparatus and system for a lower limb in a human being is disclosed. The apparatus comprises of a mobile-frame, dynamic weight unloading mechanism and lower extremity exoskeleton device. The mobile-frame structure is constructed using first and second vertical structural support members connected by a horizontal cross bar/beam to which a boom arm assembly is attached. During the rehabilitation exercises the user is secured with a harness and lower extremity exoskeleton device for safe movements. An intelligent algorithm, embedded onto a dedicated processor, actuates various motors to execute the prescribed exercises, while the sensors provide dynamic feedback for corrective measures to control the exercise routine.

A rehabilitation and training apparatus is built based on the empirical law by introducing physical therapists' experiences into the apparatus to simulate the therapy with hands in the course of rehabilitation. The apparatus includes a multi-axis robotic arm, and a high-precision control system. The control system provides three operating modes, including an active, a passive, and an auxiliary mode; receives and computes information about a patient's movements and produced force detected by potentiometers and force sensors provided in the multi-axis robotic arm; and accordingly, drives actuators to apply an aiding force or a resisting force to assist the patient in completing and repeating rehabilitation exercises. The apparatus also includes a humanized operating interface, via which a doctor or a physical therapist may obtain related rehabilitation data for assessment and adjustment of rehabilitation therapeutic courses. A method of controlling the apparatus is also provided.

An exoskeleton finger rehabilitation robot system based on electro-cerebral control is characterized by comprising a working station, a motor control unit, an exoskeleton finger rehabilitation robot, an electro-cerebral electrode, a brain myoelectricity analysis unit, a sensor unit and a human-computer interaction interface. A working method comprises the steps of visual stimulation, signal acquisition and transmission, rehabilitation robot movement, information feedback and training method optimization. The exoskeleton finger rehabilitation robot system based on the electro-cerebral control has the advantages of being intelligent, portable, simple in installation and efficient in training method and utilizing movements of palm finger joints to control rehabilitation exercises of patients.

The invention provides an upper limb rehabilitation trainer, which comprises a base, a seat and an upper limb rehabilitation training mechanism, wherein the seat and the upper limb rehabilitation training mechanism are fixedly arranged on the base, the upper limb rehabilitation training mechanism consists of transmission mechanisms in three-stage series connection, the first-stage movement adopts a circular arc guide rail and a gear and gear ring mechanism, the second-stage and third-stage mechanisms respectively adopt a linear guide rail and a gear and rack mechanism, and the inward restraining, outward expanding, extending and retracting and upward and downward swinging rehabilitation exercises of the upper limb of a patient can be realized through controlling three motors arranged in three mechanisms.

The invention discloses a multi-modal interactive upper limb rehabilitation robot training system. The system comprises an electroencephalogram (EEG) signal acquisition and processing module, a robotbody module, a comprehensive affected-limb muscle data acquisition and processing module, a rehabilitation training evaluation module and a virtual reality module, wherein the EEG signal acquisition and processing module reflects the motion intention of a patient by means of EEG signals so as to trigger rehabilitation training; the robot body module assists an affected limb to perform rehabilitation exercises; the comprehensive affected-limb muscle data acquisition and processing module acquires and obtains the comprehensive data indexes of the affected limb; the rehabilitation training evaluation module is used for processing and analyzing the comprehensive data indexes of the muscle of the affected limb so as to obtain the quantitative evaluation parameters of the rehabilitation exercisetraining of the arms of the patient; and the virtual reality module is used for displaying a virtual environment of the rehabilitation training, and interacts with the patient by means of scene display and dialogue. A multi-modal interactive upper limb rehabilitation robot training method provided by the invention realizes the safety, scientization and interestingness of the upper limb rehabilitation training.

The invention relates to a method and electronic apparatus for performing computer-aided rehabilitation exercises based on video games. The apparatus comprises a data processing module connected to a memory module to memorise the video games. In addition, the apparatus comprises a display module of the video games connected to the data processing module and at least one electronic input module connected to the data processing module suitable for interacting with a user to generate sequences of digital data representing movements of the user's body during the rehabilitation exercises. The data processing module is configured to compare the sequences of digital input data with reference parameters to provide information to the user during the game representing a biophysical feedback of the rehabilitation exercise performed by the user.

The invention provides a novel exoskeleton finger rehabilitation robot which is characterized by comprising a control unit, motor drive units, transmission units and execution units. A working method of the robot comprises the steps of control signal output by the control unit, drive motor power input, finger MCP (metacarpophalangeal) joint exercise, finger PIP (proximal interphalangeal) joint exercise and exercise parameter adjustment. The robot has the advantages that the robot is intelligent, portable and wearable, is efficient in rehabilitation training and controls rehabilitation exercises of patients by utilizing the bending and stretching motions of finger joints.