20 results about "Spasticity" patented technology

The present invention provides a prophylactic or therapeutic agent for accompanying symptoms associated with diseases caused by spinal marrow or brain disorders, such as spinal marrow injury or HTLV-1-associated spinal marrow disease, which contains an RGMa inhibitor. Also provided is a prophylactic or therapeutic agent for spasmodic or neurogenic bladder, said prophylactic or therapeutic agent containing an RGMa inhibitor.

This invention discloses an intelligent upper limb motor rehabilitation device and its method, belonging to the field of rehabilitation device design. The device includes a motor training module and a functional electrical stimulation module. The motor training module includes a permanent magnet synchronous motor and its drive and transmission systems. The drive system can perform torque control, speed control, and position control on the permanent magnet synchronous motor. The transmission system is a worm gear structure, achieving the effects of deceleration and torque increase. This upper limb motor rehabilitation device has multiple training modes, which can exercise upper limb muscle strength, improve joint range of motion, and evaluate the torque applied by the user, assess muscle strength, and detect spasticity through a method based on a fully connected neural network. Furthermore, combined with the functional electrical stimulation module, it can electrically stimulate and activate relevant muscles based on the user's force application range. Compared to large rehabilitation training devices in hospitals, this device has a compact structure, rich functions, and is more suitable for everyday home use, reducing the workload of doctors and improving rehabilitation efficiency.

The present invention relates to a neuromodulation / neurostimulation system (10) for the treatment of spasticity in a mammal, said system (10) comprising: —at least one control unit (12) configured and arranged to provide stimulation data, and—at least one stimulation unit (14), operatively connected to the at least one control unit (12), said at least one stimulation unit (14) being configured and arranged to deliver epidural electrical stimulation to the spinal cord of said mammal, according to said stimulation data, wherein the at least one stimulation unit (14) includes a biocompatible implantable lead (18) configured and arranged to cover at least a portion of the spinal cord of said mammal to deliver epidural electrical stimulation to the dorsal roots innervating the spastic muscles to target neuronal circuitry responsible for spastic episodes.

The application discloses a spasm inhibition rehabilitation management system and method, and relates to the field of rehabilitation treatment, and comprises the following: a distinguishing module, which is used for distinguishing the spasm position area of the patient's body, and controls a collecting module to collect myoelectric signals in each distinguished area based on the distinguishing result; the collecting module, which is used for collecting the myoelectric signals of the spasm position of the patient's body in real time; and an analog module, which is used for acquiring the myoelectric signal with the highest activity in the collecting module, and analogically outputting the corresponding electric field signal based on the acquired myoelectric signal with the highest activity. The application can accurately determine the position of the spasm of the patient's body, continuously collect the myoelectric signals generated by the spasm, analogically output the targeted electric field signal by analyzing the signals, generate the opposite electric field signal by using the mirror image technology, and then effectively inhibit the spasm of the patient and relieve the spasm symptoms.

The application belongs to the technical field of wearable exoskeleton devices, and provides a wearable exoskeleton device suitable for rehabilitation training of infants with congenital cerebral palsy and an exoskeleton control method. The device comprises a wearable exoskeleton device main body, hip joint drives symmetrically arranged on the left and right sides, knee joint drives, ankle joint drives, a controller and multiple groups of sensors. The controller stores joint target trajectory data corresponding to multiple training modes, retrieves corresponding trajectory data based on the selected training mode and generates control instructions to actively drive the affected lower limbs to move. The multiple groups of sensors comprise electromyography sensors, inertial measurement units and pressure sensors. The controller identifies abnormal movement modes such as combined responses and extensor spasticity based on sensor signals and dynamically reduces the drive control gain to release abnormal stress in a compliant manner. The application realizes multi-mode active guidance training and asymmetric assistance for infants with congenital cerebral palsy, and has the ability of abnormal mode identification and safe compliant response.

This invention discloses a spasticity detection system and method based on a rehabilitation robot. The system includes a motion execution module; an information acquisition module for acquiring the actual position and actual output force of a preset part of the motion execution module at a preset time; a motion planning module for sending control signals to the motion execution module or the spasticity detection module; and a spasticity detection module for calculating the patient's overall spasticity degree based on the offset between the actual position and the preset position, and the difference between the actual output force and the preset maximum output force. When the overall spasticity degree is greater than the preset overall spasticity degree, the system controls the motion execution module to take corresponding spasticity treatment measures. The spasticity detection module can determine whether the patient has experienced spasticity based on the offset between the actual position and the preset position of the preset part, so as to control the rehabilitation robot to take corresponding measures to avoid secondary injury to the patient.

The application discloses a spastic cerebral palsy infant model for rehabilitation nursing skill teaching, which comprises a head, upper limbs, a trunk, a hip and lower limbs, and a head turning device is connected to the top inner side of the trunk, the upper end of the head turning device is connected with the head, and the head turning device is connected with a head tightness adjusting mechanism; the upper limbs and the lower limbs are respectively provided with limb simulation structures; the upper limbs are provided with upper limb pressure detection modules, and the lower limbs are provided with lower limb pressure detection modules above and below. The child model can simulate abnormal postures and positions of spastic cerebral palsy children during spasm, such as frog postures, knife-fold postures and the like, and further assists operators to carry out corresponding operation practice. In the implementation, the tightness adjuster of different grades can be adjusted to adjust the spasticity degree, so that the change of muscle tension of spastic cerebral palsy children during spasm is simulated, and thus the simulation teaching of cerebral palsy rehabilitation nursing skills is realized.

The invention relates to the technical field of therapeutic instruments, and particularly discloses a spasm muscle therapeutic instrument which comprises a therapeutic instrument body, a first pipe body is connected to the front end of the therapeutic instrument body, a suction cup and an adsorption assembly are connected to the end, away from the therapeutic instrument body, of the first pipe body, and the adsorption assembly is located at the joint of the first pipe body and the suction cup and adsorbed to the muscle surface of a patient in a negative pressure mode. Blood circulation and oxygen supply can be increased by adopting a negative pressure fixing mode, rehabilitation and recovery of muscular tissues are promoted, and therefore the treatment effect on spasm muscles is improved, the alarm assembly is located on the surface of the suction cup, the suction force is increased by triggering the adsorption assembly through the alarm assembly, and the suction cup can be adsorbed to the skin surface of a patient again when falling off. The alarm assembly gives an alarm according to the falling condition of the alarm assembly and the suction cup, meanwhile, the adsorption assembly is controlled through the first switch, larger suction force is generated in the first pipe body, the suction cup is forced to automatically reset, treatment continuity is maintained, and meanwhile the labor amount of medical staff is reduced.

The invention relates to the technical field of traditional Chinese medicines, in particular to Shuangwu powder for treating various pains and increased muscular tension after stroke as well as a preparation method and application of the Shuangwu powder. The Shuangwu powder provided by the invention can quickly and continuously relieve neck, shoulder, waist and leg pain and shoulder pain after hemiplegia; the stability and function recovery after the shoulder joint subluxation reduction are promoted; the limb muscle tension is obviously reduced, and the spasm state is improved; on the premise of ensuring safety, the analgesic and anti-inflammatory effects of radix aconiti preparata and radix aconiti kusnezoffii preparata are fully utilized, and the external treatment effect of multiple effects of one medicine is achieved.

The invention belongs to the technical field of robots, and discloses a rehabilitation robot force sensing network method and system based on dynamic weight fusion, and the method comprises the steps: obtaining an original electromyogram signal and an original force signal, and carrying out the feature enhancement of the original electromyogram signal and the original force signal through a generative adversarial network; respectively fusing the original electromyogram signal and the original force signal after feature enhancement based on a muscle force grading adaptive mechanism to obtain a fusion force sensing value; processing the acquired temperature and humidity data and the calibration signal by using a self-adaptive calibration mechanism and a self-adaptive compensation mechanism, extracting a baseline drift correction value and a temperature compensation coefficient, and inputting the baseline drift correction value into a muscle force grading self-adaptive mechanism for optimization; and performing fusion processing on the extracted fusion force sensing value and the temperature compensation coefficient through a multi-scale feature fusion mechanism to obtain a fused multi-scale feature. The perceiving effect on patients with extremely weak muscle strength and spasm is remarkably improved.

This application relates to the field of neuroengineering technology and discloses a method and system for suppressing involuntary movement artifacts in electromyographic signals. The method includes: simultaneously acquiring epidural nerve electrical signals and autonomic nerve excitability signals of spinal cord segments; performing blind source separation processing; generating movement intention classification probabilities; calculating spinal cord reflex gain indices; when the spinal cord reflex gain indices exceed the reflex gain threshold, generating phase-cancelling electrical stimulation and peripheral mechanical interference signals; and adjusting the electrical stimulation parameters and interference parameters according to the intervention effect. This application moves the signal acquisition node from the muscle surface where signals are already confused to the spinal cord level where the signal aliasing is less. By reducing the degree of aliasing between descending control signals and segmental reflex signals through blind source separation, movement intention recognition is mainly based on the separated descending control signals, thereby reducing the risk of spasticity artifacts being misjudged as movement intentions and improving the safety of exoskeleton-assisted movement.

The invention relates to the technical field of rehabilitation medical instruments, and discloses an array type pneumatic lower limb rehabilitation evaluation training system and device based on muscle force feedback, and the system comprises an array type pneumatic execution terminal, a multi-mode sensing network and a local main controller; the execution terminal is composed of independent pneumatic pixel units which are arranged in a matrix shape or a honeycomb shape and is integrated with an air pressure, displacement and muscle activation sensing unit. The local main controller executes active palpation scanning by controlling the pneumatic array, and constructs a tissue viscoelastic impedance spectrum; in the training process, the controller dynamically adjusts the internal pressure of each unit by using a differential shunt-resistance coupling algorithm, constructs an anisotropic pressure field to guide the muscle to contract along an anatomical path, and corrects control parameters in real time based on pressure center vector analysis to suppress compensatory movement. A negative pressure spasm safety response mechanism is also integrated; according to the system, personalized evaluation and precise mechanical guidance of soft tissue rheological characteristics can be achieved, and the effectiveness and safety of lower limb rehabilitation training are improved.

The invention relates to the field of medical rehabilitation training control, in particular to a hand joint rehabilitation self-adaptive closed-loop control method and system. The method comprises the following steps: acquiring equipment and joint parameters, performing movement track configuration and compensation registration, and constructing a fixed configuration structure; on the basis of the generated session configuration and the individualized security threshold, threshold comparison configuration loading is completed; then angle and torque data are collected in real time, motion intention and spasm state judgment is carried out, and a self-adaptive motor control instruction is generated according to the motion intention and spasm state judgment; and finally, performing archiving processing on the training data and generating a progress report and a threshold updating record. Self-adaptive adjustment of the hand joint rehabilitation training process is achieved through closed-loop control, the auxiliary force and the safety boundary can be dynamically adjusted according to the real-time state of a patient, and the training safety and individualized adaptability are effectively improved.

The invention discloses a spasm detection system and method based on a rehabilitation robot. The system comprises a motion execution module; the information acquisition module is used for acquiring the actual position and the actual output force of the preset part of the motion execution module in the preset time; the motion planning module is used for sending a control signal to the motion execution module or the spasm detection module; the spasm detection module is used for calculating the comprehensive spasm degree of the patient according to the offset between the actual position and the preset position and the difference value between the actual output force and the preset maximum output force, and when the comprehensive spasm degree is larger than the preset comprehensive spasm degree, the motion execution module is controlled to take corresponding spasm treatment measures. The spasm detection module can judge whether the patient has spasm or not based on the offset between the actual position of the preset part and the preset position, so that the rehabilitation robot can be controlled to take corresponding measures, and secondary injury to the patient is avoided.

A method of treating spasticity uses a garment worn on a target anatomy to arrange electrodes on an inner surface of the garment contacting the skin of the target anatomy. Using an electronic processor, a spasticity treatment cycle is performed. The spasticity treatment cycle is initiated by providing a human-perceptible prompt to initiate a spastic event, or by triggering the spastic event by applying electrical stimulation to at least a portion of the target anatomy using the electrodes. Thereafter, electromyography (EMG) signals are measured from the target anatomy using the electrodes. One or more spasm regions in the target anatomy are identified based on the EMG signals. Targeted treatment of the one or more spasm regions is performed using neuromuscular electrical stimulation (NMES), or is directed to be performed by displaying a representation of the target anatomy with the one or more spasm regions indicated on the representation.

This invention provides a method, device, terminal, and medium for assistive training in the rehabilitation of spasticity after brain injury. The method includes: acquiring surface electromyography (EMG) signals and the start time of postural transition; obtaining average amplitude, maximum voluntary contraction amplitude, left-right symmetry index, stability index, and pre-activation time; obtaining a core muscle group function score based on the calculated average amplitude, maximum voluntary contraction amplitude, left-right symmetry index, stability index, and pre-activation time; determining the patient's training position, training goals, training mode, initial treatment parameters, and treatment optimization goals; guiding the patient in adaptive rehabilitation training, collecting surface EMG signals of the patient's core muscle groups in real time, dynamically adjusting stimulation parameters through an adaptive prediction model and the surface EMG signals, and completing the assistive rehabilitation training for spasticity after brain injury after the adaptive prediction model converges. This reduces reliance on the therapist's subjective experience and achieves precise rehabilitation training.

The invention relates to the technical field of infrared radiation therapy parameter control, in particular to an infrared light irradiation parameter optimization system for neuropathic pain after spinal cord injury. The system monitors stress events in real time based on spasm onset impact and a tip perfusion index. And quantizing the rosemary-sympathetic response delay of the patient, further analyzing the most unstable moment of the center rate dynamics in the event time period to be analyzed, and quantizing the response-instability time difference. And according to the response-instability time difference and the rosemary-sympathetic response delay identification, accurately identifying the event category. And an accurate control instruction is fed back to the event type. According to the method, two cause identification problems with unclear macroscopic physiological data representation are converted into deterministic problems with clear sequence in time sequence, and the excitation event is accurately and effectively identified by combining the obtained time domain features, so that the control accuracy in the infrared light treatment process is ensured, and the medical accident risk is reduced.

The application discloses a kind of limb spasm degree evaluation methods, comprising the following steps: step one, establish root mean square model curve and median frequency model curve:step two, respectively collect the myoelectric signal of patient's healthy side and affected side in the resting state, calculate the root mean square RMS_J of patient's healthy side and the median frequency MF_J of patient's healthy side, and the root mean square RMS_H of patient's affected side and the median frequency MF_H of patient's affected side;Step three, calculate the first similarity value, second similarity value;Step four, calculate the third similarity value and fourth similarity value;Step five, calculate evaluation value;Step six, spasm grade evaluation.The application combines the time domain characteristics of myoelectric signal with biological data, establishes model curve, and evaluates spasm degree;The myoelectric signal of patient's healthy side and affected side is collected simultaneously, which is conducive to promoting the connection of corresponding cerebral hemisphere nerve of affected side, so as to truly reflect the autonomous movement intention of patient, and improve the evaluation accuracy.

The present application relates to the field of medical devices, and more particularly to an angle fixing training device for ankle joint auxiliary rehabilitation treatment, which comprises an ankle fixing frame, a dismounting mechanism, a connecting mechanism, an angle adjusting mechanism and a steering mechanism; after the device is fixed by an operator, the leg of a rehabilitation person is fixed on the ankle fixing frame, then the dismounting mechanism is buckled on the connecting mechanism, the ankle angle is adjusted to change the force of the angle adjusting mechanism to exercise the ankle joint, and if the body posture is not comfortable, the working angle can be adjusted through the steering mechanism to adapt to different working conditions; the device changes the exercise angle of the ankle joint and the massage force through a simple mechanical structure, which is beneficial to the problem of spasticity of the adductor muscle tendon of the hemiplegic thigh and is conducive to the promotion and use of the product.