46 results about "Motor rehabilitation" patented technology

The present invention provides methods of improving cognitive and motor deficits associated with central nervous system (CNS) disorder or condition in an animal. The methods comprise a general administration of phosphodiesterase 4 inhibitors and optionally training the animal under conditions sufficient to produce an improvement in performance.

A method and system for measuring motion of a user's body part for motor rehabilitation after impairment. The system utilizes a two-dimensional optical acquisition system for detecting three-dimensional motions of at least one body part of a user for motor rehabilitation after impairment.

The present invention provides methods of improving cognitive and motor deficits associated with central nervous system (CNS) disorder or condition in an animal. The methods comprise a general administration of phosphodiesterase 4 inhibitors and optionally training the animal under conditions sufficient to produce an improvement in performance.

The invention discloses a system for coordinate motor rehabilitation of both lower limbs of cerebral palsy patient in an intensive care room. The system comprises a lower limb rehabilitation trainingmachine, a motion control module, an interactive control module, a data acquisition module and a cloud platform. The data acquisition module collects the physical sign data of ICU patients with cerebral palsy, and transmits them to the interactive control module through serial communication, so as to realize the evaluation and safety control of the coordinated movement of both lower limbs of ICU patients with cerebral palsy. According to the evaluation results, the rehabilitation training program can be generated automatically, and the doctors and nurses can also set the rehabilitation training mode and parameters through the interactive control module to generate control instructions, which are sent to the motion control module to control the lower limb rehabilitation training machine toassist the patient to complete the multi-mode rehabilitation training, and the lower limb rehabilitation training machine can help the patient complete the multi-mode rehabilitation training. Cloud platform is connected with hospital medical record management system through Internet, and ICU patients' medical record information and physical sign data are imported. Cluster analysis is used to generate personalized rehabilitation treatment scheme automatically. The system can also move freely and adjust the position according to the patients' needs. The system is easy to operate, safe and reliable, and has a broad application prospect.

The invention discloses a post-stroke upper limb intermuscular collaborative coupling analysis method. The method comprises the following steps: firstly, synchronously acquiring and preprocessing multi-channel surface electromyogram signals in an upper limb movement process; then carrying out non-negative matrix factorization on the preprocessed data; presetting the number of decomposition layers,multiplying two decomposed matrixes to obtain a reconstructed data matrix, and calculating an explanatory variance; judging a cooperative and non-cooperative relationship; and finally, calculating the intermuscular coupling strength of the coherence measurement in different frequency bands. From the perspective of motion generation and execution, the coupling strength difference of collaborativemuscles in the muscle collaborative model is discussed, and a physiological basis can be provided for the motion rehabilitation process of stroke patients.

An exoskeleton robot for hand and wrist kinetic rehabilitation provides passive, active-assisted, and active resistance rehabilitation for fingers and wrist joints independently. It relieves pain during exercises and stimulates the mechanoreceptors for all hand and wrist joints. The device provides levels of differentiation for finger rehabilitation through independent motion control mechanisms for all ten phalanges of the fingers and the wrist with a full range of motion, which helps in focusing the work on each joint selectively. It is portable, operates using an electric power source only, easy to wear, fits different hand sizes, and most of its parts made of lightweight plastic.

The invention relates to the field of rehabilitation medicine equipment, and discloses a lower limb movement rehabilitation device. The lower limb movement rehabilitation device comprises a thigh front supporting plate, a thigh rear supporting plate, a shank front supporting plate and a shank rear supporting plate, wherein the thigh front supporting plate is connected with the thigh rear supporting plate through a first fixing mechanism; the shank front supporting plate is connected with the shank rear supporting plate through a second fixing mechanism; the thigh front supporting plate is rotatably connected with the shank rear supporting plate through a connecting mechanism; an elastic regulating mechanism is arranged between the thigh rear supporting plate and the shank front supportingplate; a thigh electrode part is arranged in the thigh rear supporting plate; and a shank electrode part is arranged in the shank rear supporting plate. The lower limb movement rehabilitation device disclosed by the invention has the following advantages and effects that a new structure is adopted, so that the purpose of improving rehabilitation effects is achieved.

The invention discloses an advanced prediction control method for limb movement rehabilitation based on bilateral cooperation. The method comprises the following steps: acquiring healthy side motion information, establishing a prediction model of affected side motion, and performing motion prediction based on the healthy side motion information to obtain prediction information; acquiring motion information of an affected side, performing online feedback correction on the parameters of the prediction model based on the motion information of the affected side, and correcting the parameters of the prediction model and an uninjured side difference value between the motion information of the uninjured side and the motion information of the affected side to obtain a corrected prediction value; controlling the motion of the affected side according to the corrected predicted value, so that the healthy side motion information and the affected side motion information are coordinated. According to the method, the real-time performance of collaborative movement and the attention and coordination of the patient in the training process can be improved, compensatory actions are reduced, and nerve remodeling and limb rehabilitation of impaired brain functions of the patient are facilitated.

The invention provides an external limb finger control method based on electroencephalogram and myoelectricity cooperation, which comprises the following steps: taking a frontal myoelectricity signal and an electroencephalogram signal as a trigger instruction for action state conversion, and judging whether to output the trigger instruction or not according to a calculation result, so as to complete switching of different actions in upper limb rehabilitation training. An external limb robot can be controlled under the condition that the inherent limb freedom degree of human is not occupied, the human body movement function is enhanced or compensated in real time, and the potential of helping the stroke hemiplegia patient to achieve active movement rehabilitation is shown. Besides, the motor imagery electroencephalogram signals are identified and classified by using the convolutional neural network, the classification performance superior to that of a traditional classifier is shown, and various parameters of a convolutional neural network model are optimized by using a genetic algorithm, so that construction and use of a deep learning model under the condition of small samples are efficiently realized.

The invention discloses a real-time monitoring video induction-based motor imagery BCI (Brain-Computer Interface) system. A set of motor imagery experimental paradigm induced by a real-time monitoring video is designed, the realization is simple, and the operation is easy; when a person with limb movement disorder performs imagery motor rehabilitation training by applying the system, the person can see a rehabilitation state of the limb with the movement disorder in real time conveniently, so that the positivity and activeness of the examinee in participating in the rehabilitation training can be greatly improved and the recovery of original injured neural pathways can be accelerated; the induction of the real-time monitoring video is added, so that the visual motor imagery effect of the examinee is enhanced, the experimental immersion of the examinee is improved, the fatigue of the examinee is relieved, and a motor imagery electroencephalogram signal with relatively high information source quality can be induced; and a control group experiment, namely, a pure visual motor imagery electroencephalogram experiment without induction of real-time video monitoring is introduced, and ERD (event-related desynchronization) characteristics of motor imagery electroencephalogram signals acquired by a new paradigm experiment and the control group experiment are compared, so that the correctness of a conclusion is verified.

The disclosed systems and methods provide for a mirror box therapy system as a therapeutic tool for treating patients having one healthy and one unhealthy limb. This can include stroke patients or those whom otherwise have full or partial paralysis. Also suitable patients include amputees with phantom limb pain or those with intact legs whom have unilateral chronic lower extremity pain. The system is designed to be used with patients in the short sit position or long sit position and can be alternated between each position including switching between left side and right side limb treatment. The methods of treatment with the disclosed system are designed to provide for positive visual feedback and induce brain plasticity with the improvement of neural connections leading to pain and/or motor rehabilitation of the impaired limb.

The invention discloses a balancer system based on STM32, and relates to the technical field of sports rehabilitation equipment. The balancer system includes a control subsystem and a human-computer interaction subsystem; the control subsystem includes an MCU circuit, a power supply module, a pressure sensor module, an AD conversion module, and a direct current motor drive module; the MUC circuitis connected to a host computer through a RS485 serial port; and the human-computer interaction subsystem includes the host computer, a display screen, a pressure data acquisition module, and a factory parameter module. Pressure signals are collected through a plurality of pressure sensors, the AD conversion module communicates with MCU through a SPI interface and transmits digital signals, a terminal processor STM32F407RBT6 processes and analyzes the data to calculate the position of the center of gravity and is connected with the host computer through the serial port, a visualized human-computer interaction operation can be carried out, and therefore the problems of poor intelligence of existing balance rehabilitation equipment and inaccurate analysis of pressure center coordinates are solved.

The present invention provides methods of improving cognitive and motor deficits associated with central nervous system (CNS) disorder or condition in an animal. The methods comprise a general administration of phosphodiesterase 4 inhibitors and optionally training the animal under conditions sufficient to produce an improvement in performance.

The invention discloses a waist twisting movement rehabilitation linkage training device. In the prior art, according to the exercise mode, a person stands on a twisting table, then waist twisting is conducted through waist force, in the active twisting training mode, passive twisting training is needed for most recovery after the waist is injured, and passive twisting training is difficult to conduct through an existing twisting table. The device comprises a semicircular supporting plate (3), a cylinder bottom plate (7), a pedal plate (5), a rotation driving device and a leg-hand linkage device, wherein the leg-hand linkage device is in sliding fit with the semicircular supporting plate and used for driving the rotation driving device to rotate forwards and backwards, And the rotary driving device is fixed in a cylindrical bottom plate groove at the bottom of the semicircular supporting plate, and the output end of the rotary driving device is fixed with the pedal plate and is used for driving the pedal plate to rotate. The device is used for waist twisting movement rehabilitation linkage training.

The invention relates to the technical field of medical health care, and discloses a rehabilitation and health care therapeutic apparatus for natural movement of hand functions, which comprises a bin body, a supporting plate is fixedly mounted at the top of the bin body, a mounting frame is fixedly mounted on the right side of the supporting plate, a first motor is fixedly mounted on the right side of the supporting plate and located in the mounting frame, a rotating shaft is fixedly mounted at the output end of the first motor, and a cam is fixedly mounted on the right side of the rotating shaft. According to the rehabilitation and health care therapeutic apparatus for natural movement of hand functions, through an inlet and an outlet, the palm of a person is placed above a first transverse plate, fingers are placed on a second transverse plate, a second motor is started to rotate, a transverse rod drives a rotating wheel to take up and pay off a cable to drive the second transverse plate to ascend and descend, and therefore muscles of the hand can be trained; and the first motor is started to drive the cam to rotate, a massage mechanism moves up and down, different acupuncture points of the hand can be massaged in combination with movement of the hand, and therefore the purpose of integrating muscle training and hand massage is achieved.

The invention discloses an electrical stimulation tactile perception method. According to the invention, a high-density electrode array composed of functional electrical stimulation electrodes is used as a single electrical stimulation module, and movement rehabilitation of fine hand actions and tactile feedback of different contact points of the hand are realized through the combination of the electrical stimulation electrodes. According to the method, nerve muscle related to hand movement and tactile sensation is directly stimulated, both movement rehabilitation and tactile feedback are direct effects generated by electrical stimulation, natural intuition of human beings is met, and the training cost of a user is greatly reduced. According to the invention, by using the high-density electrode array, the spatial resolution of the electrical stimulation system is improved, and the defects that an existing electrical stimulation system is insufficient in spatial resolution and not fine enough in stimulation function are greatly overcome. According to the invention, electrode combinations corresponding to different fine actions and different fine position tactile sensation can be quickly and accurately searched.

The invention relates to a flexible cable traction double-upper-limb collaborative movement rehabilitation robot which comprises a left upper limb rehabilitation assembly and a right upper limb rehabilitation assembly, the left upper limb rehabilitation assembly and the right upper limb rehabilitation assembly each comprise a hand mechanism, a forearm mechanism, an elbow joint, an upper arm mechanism, a shoulder joint and a shoulder mechanism, the elbow joint is connected with a forearm power transmission mechanism to drive the forearm mechanism to act, the shoulder joint is connected with an upper arm power transmission mechanism to drive the upper arm mechanism to act, a first limiting mechanism is arranged between the forearm mechanism and the upper arm mechanism, and a second limiting mechanism is arranged between the upper arm mechanism and the shoulder mechanism. According to the technical scheme, the forearm mechanism and the upper arm mechanism are connected with the forearm power transmission mechanism and the upper arm power transmission mechanism through Bowden cables respectively, flexion and extension of the elbow joint are achieved through a serial elastic driver of the elbow joint, and forward flexion and backward extension of the shoulder joint are achieved through a serial elastic driver of the shoulder joint.

The system of neurorehabilitation and the method of neurorehabilitation belongs to the medical field, specifically to neurology, and can be used as a system and method of neurorehabilitation during motor rehabilitation of patients after a stroke in various phases, as well as during the rehabilitation of patients with other diseases and disorders of the central nervous system. The objective of the claimed invention is the motor (movement) rehabilitation of patients after stroke and other diseases of the central nervous system that cause motor deficits in the limbs. The technical result of the invention is to increase the effectiveness of rehabilitation, including during early and late rehabilitation period of stroke and other diseases and disorders of the central nervous system through the use of the system and method of neurorehabilitation and methods of this invention, which stimulate the restoration of mobility of paralyzed limbs by forming neural biofeedback connections between the patient's intention to move the limb and its implementation.

The invention discloses a time-frequency-space muscle collaborative analysis method based on wavelet and non-negative tensor decomposition, and belongs to the technical field of neurological rehabilitation engineering and movement mechanisms, and the method comprises the steps: firstly, carrying out the synchronous collection and preprocessing of multi-channel surface electromyogram signals in an upper limb movement process; secondly, wavelet decomposition is carried out on the preprocessed data, and wavelet signal data tensors are constructed for the time-frequency electromyographic signals after wavelet transformation and multi-channel time-frequency signals of the same action; the number of decomposition layers is set in advance, the three matrixes obtained after decomposition are multiplied by the kernel tensor, a reconstructed data tensor is obtained, and then a fitting value FIT is calculated; judging a cooperative and non-cooperative relationship; and finally, judging the spectrum component of the synergy muscle. From the perspective of motion generation and execution, the function activation states of synergy muscles in the muscle synergy model on different frequency bands are discussed, the internal mode of nervous system functions can be revealed, and a physiological basis can be provided for the motion rehabilitation process of a stroke patient.