50 results about "Nerve muscle" patented technology

The invention discloses a scoliosis neuromuscular rehabilitation system based on a brain-computer interface and digital twinning, and the system comprises a multi-mode sensing module which is used for synchronously collecting a neurophysiological signal, a muscle electrical activity signal and a motion posture signal of a user; the intelligent processing and simulation module is used for carrying out fusion processing on the multi-modal signals, decoding the motion intention of the user and carrying out real-time simulation prediction on a biomechanical effect generated by the motion intention based on a personalized digital twinborn model of the user; and the decision and feedback module is used for generating and executing a personalized feedback instruction according to the decoding result and the simulation prediction result of the motion intention. The invention belongs to the technical field of medical rehabilitation engineering and biomedical engineering, and particularly provides a neuromuscular function remodeling method which is capable of directly providing a scoliosis patient with biomechanical accuracy, real-time interactivity and individual adaptability from a neural control source by constructing an integrated rehabilitation system.

Neuromuscular block characterization techniques are disclosed. A muscle movement measurement device generates, unprompted by impulse stimulation to a subject from an external source, at least one signal representative of muscle movement measurements at at least one location of a body of the subject while the subject is experiencing neuromuscular paralysis caused by biophysiological processes at neuromuscular synapses throughout the body including remote from the at least one location. A processing circuit runs a neuromuscular block analysis module that receives the at least one signal, analyzes the muscle movement measurements embedded in the at least one signal, and determines a degree of neuromuscular blockade associated with the neuromuscular paralysis being experienced by the subject. The processing circuitry further generates, for display via a display device, an indication of the degree of the neuromuscular blockade at each said location on the body.

The invention relates to the technical field of medical instruments, in particular to a magnetic control pulse type pelvic floor nerve muscle stimulator and a parameter optimization system thereof. Comprising a host, a dynamic layered pulse waveform generation technology module, a multi-target reinforcement learning parameter optimization module, a multi-modal biofeedback fusion and VR enhancement module, and a flexible wearable stimulation array and ultrasonic targeting module. The system has the advantages that real-time data and deep learning are achieved, and personalized precise treatment is achieved, in the actual use process, the dynamic layered pulse waveform generation technology module predicts the requirements of muscles in the next stage through a deep learning model on the basis of pelvic floor electromyographic signals, pressure data and infrared thermal imaging which are collected in real time, and the treatment accuracy is improved. Dynamically generating a composite pulse waveform; the multi-objective reinforcement learning parameter optimization module constructs a'state-action-reward 'reinforcement learning framework, and takes patient treatment feedback, muscle force improvement, pain score and treatment compliance as reward signals.

The invention discloses a table type midnight-noon ebb-flow neuromuscular electrical stimulation system and an electrical stimulation instrument, and relates to the technical field of neurological rehabilitation, the system comprises an acupuncture point precise positioning module, which integrates image acquisition and algorithm, and outputs acupuncture point three-dimensional coordinates; the qi and blood quantification module is used for calculating qi and blood indexes by using various sensors in combination with the midnight-noon ebb- The stimulation parameter mapping module generates personalized parameters according to the time and qi and blood data; the electrical stimulation execution module accurately applies thorns and dynamically adjusts the thorns; the curative effect closed-loop optimization module monitors feedback, iteratively optimizes parameters and generates a curative effect report; precise positioning and dynamic quantification of acupuncture points are realized by integrating image acquisition, algorithms and the like, and transformation of the midnight-noon ebb-flow therapy is promoted; a corresponding relation is established to generate a personalized stimulation scheme, a curative effect closed-loop optimization mechanism is constructed, the traditional limitation is broken, the individual physiological state is fit, the treatment effect is improved, an efficient scheme is provided for neuromuscular electrical stimulation, and fusion of the traditional Chinese medicine theory and the modern technology is promoted.

The invention relates to the technical field of rehabilitation physiological monitoring, and discloses a nerve-muscle recovery detection method based on HRV recovery rate and sEMG frequency spectrum declination, and the method comprises the steps: firstly obtaining an effective RR interval sequence subjected to quality gating and a steady state sEMG segment of a specific muscle group; then, extracting systemic HRV recovery features and local muscle fatigue features in parallel, and respectively generating a normalized HRV recovery rate score and a myoelectricity recovery score; through multi-level fusion, a global nerve recovery score, a local muscle recovery score array and a comprehensive nerve-muscle recovery score are integrated; and finally, based on the multi-dimensional evaluation results, generating personalized training suggestions. Therefore, the nerve-muscle system preparation degree of an individual can be comprehensively and accurately reflected, and a scientific basis is provided for optimizing a training plan and preventing sport injuries.

The utility model relates to radio frequency treatment field especially blunt head curved radio frequency cannula needle and radio frequency equipment, wherein radio frequency cannula needle includes needle tube, the needle tube has first pipe section and second pipe section who links, the end of second pipe section is blunt head, second pipe section is relatively first pipe section length direction and is set up obliquely. The blunt head curved radio frequency cannula needle of the utility model, through setting up the second pipe section who is oblique to first pipe section, makes the operator to be more convenient to pass through the rotation or the needle tube of pulling and moving to bypass the human body tissue shelter or changes needle tube end direction when needle tube moves in the human body, makes the head end of needle tube can conveniently, accurately aim at the lesion point, can reduce the frequency of repeated puncture, the end of second pipe section is set as blunt head, through the wide head of blunt head can reduce the damage of nerve, muscle, blood vessel etc. that causes the unexpected when needle tube moves in the human body, is favorable to improve the security.

The invention discloses a movable muscle magnetic signal detection device, which comprises a magnetic shielding mechanism, an annular sensor array capable of scanning and moving, an arm positioning mechanism and a signal acquisition and processing system, and is characterized in that the magnetic shielding mechanism is used for shielding an environment magnetic field to form a near-zero magnetic measurement environment; the annular sensor array is used for surrounding an arm to collect multi-channel muscle magnetic signals generated by muscle movement, and the arm positioning mechanism is used for fixing the arm and determining a measurement position range. And the signal acquisition and processing system is used for synchronously acquiring a stimulation signal triggered by external stimulation, a multi-channel muscle magnetic signal from the annular sensor array and position information of the annular sensor array, and processing, tracing and positioning the multi-channel muscle magnetic signal. According to the device, miniaturization and mobility of muscle magnetic signal detection equipment are achieved, three-dimensional space distribution information of a muscle magnetic field can be obtained, the spatial resolution is remarkably improved, integrated analysis from signal detection to source positioning is achieved, and a reliable tool is provided for quantitative evaluation of neuromuscular functions.

1. Name of the designed product: Muscle training device (multi-channel). 2. Use of the designed product: For neuromuscular electrical stimulation device. 3. Design points of the designed product: In shape. 4. Picture or photo that best indicates the design points: Perspective view.

The application provides a rehabilitation training difficulty self-adaptive system based on motion capture, and relates to the technical field of rehabilitation training.The rehabilitation training difficulty self-adaptive system based on motion capture comprises a signal processing module, a muscle movement acquisition module, an electric stimulation module, a self-adaptive adjustment module and a neuromuscular evaluation module.The output end of the signal processing module is connected with the self-adaptive adjustment module and the neuromuscular evaluation module.The output end of the muscle movement acquisition module is connected with the input end of the signal processing module.The output end of the electric stimulation module is connected with the input end of the muscle movement acquisition module.The output end of the self-adaptive adjustment module is connected with the input end of the electric stimulation module.Through the signal processing module, the muscle movement acquisition module, the electric stimulation module, the self-adaptive adjustment module and the neuromuscular evaluation module, the motion trajectory and the motion speed of the rehabilitation training can be conveniently acquired, and the difficulty of the rehabilitation training can be self-adapted, so that the switching is accurate.

The utility model discloses an electrode connecting structure of a neuromuscular stimulator, which relates to the technical field of medical instruments, and is characterized by comprising an external shell, conductive hydrogel for packaging and an electrode pulse mechanism positioned between the conductive hydrogel and the shell, the electrode pulse mechanism comprises a PCBA (Printed Circuit Board Assembly) board, a positive electrode and a negative electrode, a control module is integrated on the PCBA board, connecting pieces are arranged between the PCBA board and the positive and negative electrodes, the PCBA board is detachably connected with the positive and negative electrodes through the connecting pieces, and positive and negative electrode interfaces are arranged on the PCBA board close to the positive and negative electrode ends; according to the utility model, the connection mode of the electrode and the circuit board is optimized, the reliability of long-term use is ensured, and the conductivity of the electrode can be improved.

The invention discloses a muscle-bone dysfunction early warning and intervention method based on bioelectricity signals, and relates to the technical field of muscle-bone signal data processing.The method comprises the steps that original electromyographic signal data are obtained, and a multi-scale entropy curve reflecting neuromuscular coordination and a tremor precursor frequency band energy curve reflecting stability are calculated respectively; a target monitoring point is extracted based on hyperbola features, an instability risk coefficient is calculated, and dominant instability risk judgment and primary intervention are achieved; and further through multi-scale decomposition and instantaneous phase synchronization analysis, in combination with calculation of trajectory deviation and data dispersion, precise identification and secondary intervention of the recessive instability risk are realized. Through multi-level coupling analysis of coordination and stability, a full-dimension risk assessment system from dominance to recessiveness is established, differentiated intervention instructions are generated, and finally the problems of monitoring blind areas and hysteresis in early warning of a traditional method are effectively solved.

The application relates to the technical field of physiological and pharmacological experimental devices, and discloses a muscle spindle discharge activity experimental recording device based on a nerve-muscle specimen, which comprises an experimental box, a tension sensor is fixedly connected to the left side of the experimental box, an electric sliding rail is fixedly connected to the right side of the experimental box, a wire clamp is arranged in the electric sliding rail, a movable adjusting mechanism is arranged at the back of the experimental box, an auxiliary placing mechanism is arranged in the experimental box, an adjusting and mounting mechanism is arranged at the bottom of the experimental box, in the using process, the sliding plate is moved, the spring is matched, the position of the connecting frame is adjusted, the left and right positions of the recording electrode clamp are adjusted, the first threaded rod is rotated, the first limiting rod is matched, the height and the front and back positions of the recording electrode clamp are adjusted, the motor works, the height of the silica gel support table is adjusted, the worm is rotated, the position of the mounting frame is adjusted, and the mounting between different mounting tables and mounting equipment is satisfied.

The utility model discloses a kind of pulsating air hydraulic pressure cycle therapeutic instrument control circuit, it is related to control circuit technical field, including microcontrol unit, part selection button, mode selection button, on / off button, NFC card swiping instruction module, electrode intensity adjusting knob, host output port, pulse output control circuit, boost circuit, stimulation circuit, electrode, display module and power module;Pulse current and intermittent pressure and warm mode are generated using specific circuit, can directly stimulate nerve muscle tissue, effectively cause muscle excitement and contraction, simulate real person hammer back, knock, massage, massage and the actual feeling of fire pot improves part function.The control circuit structure of hand rehabilitation therapeutic instrument described in the utility model is simple, reasonable in design, and the circuit function is high in integration, and the circuit board is small in size, which provides a basis for the portability of hand rehabilitation instrument.

The embodiment of the application discloses a motor nerve muscle blood vessel coupling function detection system, which comprises a muscle oxygen measurement module, which is covered on a to-be-detected part and is used for acquiring a muscle oxygen signal of the to-be-detected part under a motor stimulation, wherein the muscle of the to-be-detected part is associated with a target motor nerve; a processor, which is used for acquiring state time information; acquiring the muscle oxygen signal of the to-be-detected part under the motor stimulation through the muscle oxygen measurement module; determining a time response characteristic parameter of the muscle oxygen signal based on the state time information; and determining a motor nerve muscle blood vessel coupling analysis result of the to-be-detected part based on the time response characteristic parameter. The motor nerve muscle blood vessel coupling function cannot be used for detecting the motor nerve muscle blood vessel coupling function in the prior art.

The invention relates to health care equipment, in particular to a throat physiotherapy instrument. The device is provided with a base and a fixing mechanism connected with the base and used for fixing the head of a human body. A control panel, a power interface and an electrical stimulation patch interface are arranged on the base, a massage head assembly is arranged above the base, the massage head assembly is provided with massage heads which are in bilateral symmetry and matched with the throat of the human body and a precise positioning structure for the throat dissection area, and the contact surface of each massage head is of a flexible attaching structure. A multi-mode physical therapy module and a central control module are arranged in the massage head assembly, the multi-mode physical therapy module comprises a physical massage unit, a dynamic warm physical therapy unit and a neuromuscular electrical stimulation unit, and the central control module is electrically connected with all the units in the multi-mode physical therapy module to achieve cooperative control. Through resonance, dynamic warm physical therapy and neuromuscular electrical stimulation, the comprehensive physical therapy effects of relieving throat muscle fatigue, promoting blood circulation and adjusting nerve functions are achieved.

The invention discloses a muscle fatigue monitoring method based on semi-supervised learning, and belongs to the technical field of neuromuscular physiology and data processing. The problems that in an existing muscle fatigue monitoring method based on surface electromyogram signals, noise sensitivity is high, time-frequency domain feature extraction is insufficient, the model generalization ability is insufficient, and large-scale data labeling is excessively depended are solved. The method comprises the following steps: acquiring and preprocessing data through a surface myoelectricity sensor, constructing a self-supervised pre-training model containing a mask proxy task and a 1D CNN encoder, performing fine adjustment by using a semi-supervised learning framework enhanced by difference data, finally deploying the model, and outputting a muscle fatigue level through dynamic window slicing and confidence evaluation. The muscle fatigue monitoring ability can be effectively improved, the noise immunity of the model is enhanced, the potential structure of data is mined, fatigue features are accurately extracted, the generalization ability is improved, real-time monitoring, early warning and rehabilitation training optimization can be achieved, and powerful support is provided for exercise safety and rehabilitation treatment.

The invention discloses a monitoring and evaluating system and method for postoperative recurrent laryngeal nerve function damage and recovery, and relates to the technical field of laryngeal nerve function evaluation. According to the method, a patient preoperative individualized neuromuscular vibration fingerprint baseline is constructed, postoperative neck muscle sound signals are converted into multi-dimensional computable features reflecting nerve discharge rhythm, muscle mechanics modality and nerve-muscle conduction coupling relation, and structural comparison is carried out under the reference of consubstantial stable topology; the recurrent laryngeal nerve function state is converted from subjective observation to objective quantification, the stability keeping degree of a neural control structure can be dynamically tracked under the non-invasive and continuous wearing conditions, neurogenic abnormality, myogenic change and normal function recovery trends are distinguished, and the recurrent laryngeal nerve function state can be accurately determined. The influence of individual anatomical differences, sound production habits and environmental noise on the evaluation result is remarkably reduced, and the sensitivity, repeatability and long-term trend judgment capability of postoperative function monitoring are improved.

A system and a method for the stimulation of a body part of a subject the system comprising: a pulse generator (10, Fig.2) configured to output one or more variable stimulation signals, wherein the st

The utility model relates to medical instrument technical field, concretely discloses a nerve muscle electric stimulator, including shell, touch display screen, main control board, two cooling fans, transformer, power filter, multiple output interfaces, control assembly and power component, two cooling fans are symmetrically arranged in the inside of shell, main control board sets up in the inside of shell, power filter sets up on the upper surface of main control board, transformer sets up in the inside of shell, touch display screen sets up on the upper surface of shell, multiple output interfaces all set up in one side of shell, control assembly and power component all set up in the outside of shell, the utility model can automatically identify that the current connected output type is electrode or electric needle, and automatically adjusts output power according to the identification result to make single output channel can be compatible with electrode piece and electric needle two kinds of output modes simultaneously, improves the flexibility and practicality of equipment.

The invention relates to exercise training equipment and method for simulating active muscle contraction. The exercise training equipment comprises a control terminal; the lower limb passive movement mechanism is connected with the control terminal and used for driving the lower limbs of the patient to move passively; the neuromuscular electrical stimulation unit is connected with the control terminal and used for outputting electrical stimulation signals to lower limb muscles of the patient; the blood flow limiting unit is connected with the control terminal and used for applying adjustable pressure to the lower limbs of the patient; the control terminal is used for coordinating and controlling the operation of the lower limb passive movement mechanism, the neuromuscular electrical stimulation unit and the blood flow limiting unit so as to realize the cooperative work of the lower limb passive movement mechanism, the neuromuscular electrical stimulation unit and the blood flow limiting unit.

The invention relates to a proprioceptive-brain muscle signal coupled ACLR post-balance rehabilitation multi-dimensional evaluation method and system. The method comprises the following steps: collecting and synchronously aligning electroencephalogram, surface myoelectricity and body kinematics signals of an ACLR patient, quantifying the downlink causal action intensity from a brain region to muscles and the uplink causal action intensity from the muscles to the brain region based on the electroencephalogram and myoelectricity signals, and obtaining nonlinear causal characteristics representing nerve-muscle bidirectional information flow characteristics; then taking the features as constraints, driving a nerve-biomechanical causal generation model to analyze kinematics data, and estimating delay of each link of sensory pathway, central processing and motion execution; and finally, the bidirectional causal features and the multi-link delay data are fused to generate a comprehensive evaluation index. By means of the method, the two-way interaction relation between nerves and muscles can be mined and quantified, the deep cause of balance ability damage is revealed, control defects in dynamic tasks of the patient are captured, a basis is provided for a personalized rehabilitation scheme, and the risk of incomplete recovery or secondary injury of the patient is reduced.

A method for synchronizing multiple wireless devices to provide electrical stimulation to muscles and nerves using Bluetooth Low Energy area network technology for the treatment of medical and non-medical conditions. This method allows Multiple Neuromuscular Electrical Stimulation (NMES) or Transcutaneous Electrical Nerve Stimulation (TENS) devices to connect and synchronize as peripherals to one central unit.

Systems and methods for enhanced implantation of an electrode lead for neuromuscular electrical stimulation of tissue associated with control of the lumbar spine for treatment of back pain, in a midline-to-lateral manner are provided. The implanted lead may be secured within the patient and used to restore muscle function of local segmental muscles associated with the lumbar spine stabilization system without disruption of the electrode lead post-implantation due to anatomical structures.

The present invention relates to the use of mesenchymal stem cells to reduce inflammation and immune responses for neuromuscular injuries and limb transplants. A particular preferred embodiment relates to use of mesenchymal stem cells that are modified to express interleukin-10 in limb transplantation surgery. In particular embodiments, the present invention also provides a method of improving nerve and muscle regeneration and functional outcome for limb transplantation in a mammalian limb transplant recipient by administering to the limb transplant recipient a therapeutic amount of mesenchymal stem cells.

The invention discloses a physically constrained cGAN multi-channel sEMG generation method (MS-cGAN), belongs to the technical field of intelligent rehabilitation, and comprises the steps of providing a muscle cooperative constraint condition generative adversarial network framework, synchronously generating multi-channel sEMG signals while keeping the fidelity of biological characteristics, and providing a muscle cooperative constraint condition generative adversarial network framework; muscle collaborative dynamic prior constraints are fused into a loss function of a generative adversarial network, in a generator, a relation between muscles is mapped into a graph convolutional neural network (GCN) architecture, a cross-channel relation is captured, error accumulation in the sequential generation process is avoided, and compared with a traditional GAN and a latest diffusion model, the method has the advantages that the method is simple and convenient to implement, and the efficiency is high. The MS-cGAN improves the quality of a generated signal and enhances downstream task performance, the generated data can effectively supplement a scarce sEMG data set, the kinematics prediction precision is improved, and a deep learning method and physical constraints are combined to ensure that the generated data generate data according with neuromuscular physiology characteristics under data driving.

The invention discloses a neuromuscular electrical stimulation integrated prevention and treatment integrated shoulder joint protector for hemiplegic patients, which comprises a shoulder rest body and further comprises an electrode plate assembly integrated on the inner side of a fitting area of the shoulder rest body; the electrode plate assembly comprises a first electrode plate, a second electrode plate and two sliding clamps, and a first guide groove and a second guide groove which are matched with the shoulder muscle distribution track are formed in the inner side of the attaching area of the shoulder rest body. According to the prevention and treatment integrated hemiplegic patient shoulder joint protector integrating neuromuscular electrical stimulation, the shoulder rest body is integrated with the electrode slices, the shoulder rest body is used as a stable carrier, stable support of the shoulder rest body is physically and forcibly limited in a target muscle area, and during electrical stimulation, muscle contraction can provide joint alignment support; the sliding clamp is in sliding fit with the guide grooves, so that the positions of the electrode plates are flexibly adjusted along the guide grooves along with the sliding clamp, the shoulder muscle states of different patients are adapted, and alignment deviation is avoided.

A monitoring system comprises sensors adapted to be worn by a user, and, a processor linked with the sensor. The processor receives sensor data and processes this data to determine user posture data including data indicative of vertical distance between level of the user's heart and ankle. Based on the posture data together with a value for degree of user chronic venous insufficiency and / or blood density, generate an estimate of user static venous pressure while the user is static, without calf muscle pump activity. The processor also processes the sensor data to determine if there is calf muscle pump activity, and generates an estimate of user active venous pressure according to the static venous pressure estimate, rate of calf muscle activity, and a value for degree of user chronic venous insufficiency. The processor may generate the venous pressure estimate in real time, and may control an NMES device accordingly.

The application discloses a neuromuscular function evaluation system and relates to the field of biomedical engineering.The system comprises a lower limb isometric muscle strength measuring device, an electromyographic signal acquisition device, a synchronous control module and an upper computer system, the upper computer system realizes real-time synchronous acquisition of muscle strength and electromyographic signals through the synchronous control module, and accurately captures neuromuscular activation and response processes.After the collected data is preprocessed, muscle strength peak value, force development rate, neuromuscular activation delay and electromyographic time-frequency domain parameters and various characteristics are extracted.A machine learning model is constructed by using the extracted characteristics, and is used for evaluation of the neuromuscular function state.The application improves the accuracy and automation degree of neuromuscular function evaluation through an objective evaluation mode, and is particularly suitable for function evaluation and rehabilitation monitoring of multiple types of people, such as the elderly, people with neuromuscular diseases, rehabilitation personnel after nerve injury or sports injury, etc.

A monitoring system comprises sensors adapted to be worn by a user, and, a processor linked with the sensor. The processor receives sensor data and processes this data to determine user posture data including data indicative of vertical distance between level of the user's heart and ankle. Based on the posture data together with a value for degree of user chronic venous insufficiency and / or blood density, generate an estimate of user static venous pressure while the user is static, without calf muscle pump activity. The processor also processes the sensor data to determine if there is calf muscle pump activity, and generates an estimate of user active venous pressure according to the static venous pressure estimate, rate of calf muscle activity, and a value for degree of user chronic venous insufficiency. The processor may generate the venous pressure estimate in real time, and may control an NMES device accordingly.