215 results about "Muscle group" patented technology

The invention belongs to the technical field of robot control, and discloses a bionic robot control method and system based on a muscle fiber model.The method comprises the steps that a multi-scale muscle model is constructed based on a scale division mechanism, and the multi-scale muscle model is optimized by means of physiological state variables and fatigue accumulation variables to obtain a muscle fiber model; according to the muscle group cooperation relation and the kinematics model of the robot limbs, geometric structure adaptation is carried out on the model in combination with a deformation compensation strategy; on the basis of the fused multi-sensor data, a muscle fiber model and a model after geometric structure adaptation are utilized to construct a feedback adjustment mechanism; and on the basis of an adaptive neural network algorithm, the muscle fiber model, the model after geometric structure adaptation and a feedback adjustment mechanism are optimized, solving is carried out in combination with a multi-objective optimization algorithm, and command information of the limbs of the bionic robot is obtained and executed. Accurate control over the limb joint position, the torque and the impedance of the bionic robot is achieved.

The invention relates to the technical field of postpartum rehabilitation equipment, and provides a pelvic floor muscle repairing instrument, a pelvic floor electromyographic signal interference removing method and related equipment. The pelvic floor muscle electromyographic acquisition module is configured to acquire pelvic floor muscle surface electromyographic signals containing adjacent muscle group interference to obtain target electromyographic signals; the interference muscle group monitoring module is configured to collect physiological activity signals of muscle groups adjacent to pelvic floor muscles so as to obtain interference reference signals; the posture sensing module is configured to collect a body posture time sequence signal related to pelvic floor muscle activity so as to obtain a scene auxiliary signal; and the signal processing module is configured to perform suppression processing on adjacent muscle group interference in the target electromyographic signal based on the interference reference signal and the scene auxiliary signal, and output a purified pelvic floor electromyographic signal. Pelvic floor muscle real signals and dynamic interference are distinguished through the scene auxiliary signals obtained by the posture sensing module, and the purity and reliability of output signals of the pelvic floor muscle repairing instrument are improved.

The utility model provides an abdominal wheel which comprises a main body part, and the main body part comprises a first abdominal wheel main body and a second abdominal wheel main body, the second power roller main body is detachably connected with the first power roller main body, so that the second power roller main body and the first power roller main body are combined into a whole, and a user can combine the second power roller main body and the first power roller main body into a whole for use; according to the power roller, the first power roller body and the second power roller body are separated from each other, so that the first power roller body or the second power roller body is independently used, a user can use the power roller to do exercise in various different modes, different muscle groups of the body are exercised, and the actual use requirements of the user in different scenes are met.

The invention provides a muscle fatigue detection method and device based on a multi-modal physiological information graph, electronic equipment and a storage medium, and relates to the field of biological information. The method comprises the steps that space-time synchronization signals of a target muscle group are acquired, and the space-time synchronization signals comprise electromyographic signals and muscle oxygen signals; performing data preprocessing on the space-time synchronization signal to extract a target characteristic parameter reflecting a muscle fatigue state; performing visualization processing based on the target characteristic parameters to obtain a multi-modal physiological information graph; and inputting the multi-modal physiological information graph as input data into a target detection model to obtain a muscle fatigue classification result. Therefore, the fusion of the multi-modal physiological information graph is realized based on the acquired space-time synchronization signal and the target detection model, then the identification of muscle fatigue is completed, the objectivity and accuracy of waist and back muscle fatigue detection and classification are finally improved, and an objective and effective prevention means is provided for preventing chronic lumbago and acute muscle injury.

The invention discloses an emotion recognition system and method based on a large model, and relates to the field of data analysis, and the method comprises the steps: collecting facial physiological dynamic data, including specific muscle group motion data and photoelectric volume pulse wave signals, of a person in a calm state, and establishing a reference contraction frequency and a reference heart rate; analyzing data characteristics and calculating an amplification threshold and an enhancement threshold; collecting face data of a target person in real time, and extracting real-time contraction frequency, duration of the real-time contraction frequency exceeding a critical value and real-time heart rate; and judging the emotional state by comparing the amplification and enhancement of the real-time data and the reference value. The system comprises a reference establishment module, a threshold calculation module, a real-time monitoring module, a state identification module and the like. According to the method, non-invasive, objective and accurate emotion recognition is realized through multi-modal physiological signal analysis, and the method has the advantages of high real-time performance and high accuracy.

The invention relates to the technical field of automobile collision safety, and discloses a passenger posture prediction method and system based on active safety early warning, and the method comprises the steps: synchronously collecting vehicle dynamics data, passenger target muscle group surface electromyogram signals and kinematics states under a simulated or real AEB working condition; after preprocessing the data, constructing a myoelectricity-attitude prediction model by using a CNN and LSTM hybrid model; training the model by using a large amount of data to learn the internal relationship between the characteristics and the passenger kinematics state change, and predicting the kinematics state of each section of the passenger body at the collision moment; acquiring a vehicle deceleration curve, inputting characteristics to predict the posture of a passenger, converting into a simulation software instruction to complete initialization of a virtual dummy, and running collision simulation; the problem that the initial position of a traditional collision simulation model cannot reflect the actual posture of a passenger under the emergency braking working condition, and consequently data difference is large is solved.

The present inventive concept relates to a physical therapy device designed to isolate and strengthen ankle dorsiflexors and related muscle groups without compressing major neurovascular bundles that cross the ankle joints. The present inventive concept combines fulcrums along the medial and lateral aspects of the ankle with resistance along the posterior aspect of the ankle to achieve mobility and resistance against motion during use. Benefits of the present inventive concept include improved ankle stability and dexterity, mitigation of ankle injuries, and prevention of neurovascular compression around the ankle during use.

The present invention is directed toward an exercise machine and climbing simulator that enables its users to initiate the climbing or crawling motion whilst being rotated at different angles. This invention includes a rotatable framework and a plurality of foot spines and arm spines that are configured to support the feet and arms of a user. As the framework rotates, the user incurs exercise in maintaining contact with the plurality of foot and hand spines. Each of the foot and hand spines is decoupled from each other, that is, each of the foot and hand spines is configured with independent rotational and lateral movement. By changing the angles of rotation and the positions of the foot and hand spines, gravity is applied in different ways and therefore different muscle groups are targeted. Thus, this invention assists users in acquiring varying degrees of physical fitness and mountain climbing preparation.

The invention discloses an upper limb robot rehabilitation training control method based on electromyographic signals, and relates to the technical field of rehabilitation medical treatment, and the method comprises the following steps: collecting electromyographic signals of a human body upper limb target muscle group in different action modes, and constructing an electromyographic signal feature library, screening an electromyographic signal matched with the rehabilitation training action from an electromyographic signal feature library and marking the electromyographic signal as a training trigger signal; extracting a signal effective value, a spectrum feature and an action correlation degree of the training trigger signals, judging whether feature enhancement processing needs to be performed on the at least two groups of training trigger signals according to the signal effective value and the spectrum feature, and marking the corresponding training trigger signals as control instruction generation signals; acquiring an upper limb movement track parameter corresponding to the control instruction generation signal; the method has the advantages that quantitative analysis of the electromyographic signals can reflect the neuromuscular function state of a patient in real time, objective data support is provided for training scheme adjustment, and training scientificity and repeatability are improved.

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.

This utility model discloses a core training device, including a frame with a suspension assembly and a support assembly on it. The support assembly is located below the suspension assembly. One end of each of the two booms is fixed to the support assembly, and the other end is rotatably mounted on the frame. The counterweight mechanism includes an electromagnetically controlled damper. The frame has a rotating seat, and one boom is connected to the rotating seat via a rotating shaft. The electromagnetically controlled damper is drively connected to the rotating shaft. This training device adopts a vertical design, occupies a small area, and has a variety of movement trajectories, effectively training the human core muscle groups. Its resistance adjustment abandons traditional counterweights, using an electromagnetically controlled damper to achieve flexible resistance adjustment, improving the user experience. The reciprocating design of the counterweight mechanism provides a damping effect during crunches and relaxation, reducing the feeling of stagnation caused by sudden changes in force, making the equipment run more smoothly, balancing comfort and training efficiency.

The invention discloses a leg rehabilitation training device, and particularly relates to the technical field of medical instruments.The leg rehabilitation training device comprises a supporting assembly, a fixing assembly is installed on the upper portion of the supporting assembly, a cavity is formed in the right portion of the fixing assembly, an adjusting assembly is installed in the cavity, and a driving assembly is installed in an inner cavity of the fixing assembly; a training assembly is installed in an inner cavity of the fixing assembly. According to the leg rehabilitation training device, a patient does not need to get out of the bed by himself or herself through the designed adjusting assembly, the patient can be gradually transited from a lying state to a standing state by adjusting the stable angle of the turnover bed, and the safety risks such as falling and collision caused by lower limb weakness and lack of balance feeling in the whole process are avoided; meanwhile, by simulating the standing state, leg muscles can naturally bear the body weight, core muscle groups such as quadriceps femoris muscles and gastrocnemius muscles can be activated, muscle loss atrophy caused by long-term bed lying can be prevented, bone metabolism can be stimulated through load bearing, and the occurrence risk of osteoporosis can be reduced.

The utility model relates to the technical field of sports equipment, in particular to a wrist developer with an EMS (electrical muscular stimulation) function, which comprises an annular main body, an elastic material and a spring, the two electrode plates are arranged on the outer surface of the annular main body in a spaced mode, and the two electrode plates correspond to the big thenar muscle and the small thenar muscle of the palm center respectively; the control device and the power supply device are both arranged in the annular main body, and the power supply device and the electrode plates are both electrically connected with the control device; according to the hand-muscle developer, a traditional hand-muscle developer is innovated and improved, the mechanical elastic deformation exercise function of the traditional hand-muscle developer is achieved, the two electrode plates simulate external current and neural signals to stimulate and exercise large thenar muscle and small thenar muscle of the hand, targeted exercise of the two important muscle groups can be achieved, and the hand-muscle developer has the advantages of being simple in structure and convenient to use. And the hand strength and the flexibility can be enhanced.

The utility model relates to the technical field of massagers, in particular to a foot shaking massager which is provided with a transmission mechanism and a pedal mechanism, the transmission mechanism drives the pedal mechanism to shake, acupuncture points and muscle groups of feet are effectively stimulated, and foot fatigue is effectively relieved. A driving module of the transmission mechanism drives a transmission shaft to rotate through a transmission belt and drives an eccentric shaft to move, the eccentric shaft and the transmission shaft are eccentrically arranged, pedals can be driven to move along a preset path, and the shaking massage accuracy and effect are improved; in addition, a connecting component is arranged at the bottom of the pedal, the structural stability of the joint of the transmission mechanism and the pedal mechanism can be improved, and the service life is prolonged. Meanwhile, due to the design of the protective shell, the control module and the display module, internal key components such as the driving module are effectively protected, and a user can conveniently know and control the working state of the massager.

Systems and methods for generating a finite element model (FEM) of current flow in an anatomical human forearm are disclosed. The disclosed FEM may assist in determining optimal stimulation parameters in electrical stimulation systems for achieving movement of paralyzed limbs or enhancement of able limbs. This model will allow users to determine which muscle groups are receiving stimulation under different parameters. Systems and methods which leverage electrical impedance tomography (EIT) for autonomous recalibration following garment donning are also disclosed. The method may comprise performing an EIT measurement across an electrode array of an electrode garment and constructing an anatomical model based on the EIT measurement. Next, one or more alignment variations may be estimated based on an alignment variation model. Finally, the electrode array is adjusted, automatically or manually, to accommodate the alignment variations using an alignment adjustment function.

Disclosed is a method, apparatus, and program for measuring muscle strength by controlling an exercise assistance robot with customized settings for each user to measure the user's muscle strength, and may include receiving input information including muscle group information of a muscle strength measurement target of a user and body information of the user; setting automatically a position and shape of the exercise assistance robot for muscle strength measurement based on the muscle group information and the body information; setting automatically a movement path of the muscle strength measurement target based on the body information of the user; measuring the muscle strength for the muscle strength measurement target by controlling the exercise assistance robot based on the movement path of the muscle strength measurement target; and generating muscle strength measurement result information for the muscle strength measurement target.

The present application relates to the technical field of debridement nursing, in particular to a debridement nursing device for operating room nursing, which comprises an adjusting assembly, an analgesic assembly and a disinfecting assembly arranged on the top of a fixing frame, the adjusting assembly comprises a fixing block, a screw rod is rotatably embedded in the fixing block, the screw rod is connected with a threaded block through a ball nut pair, transmission rods are fixedly connected to the outer surfaces of both sides of the threaded block, lifting plates are rotatably arranged on the outer surfaces of the transmission rods, connecting columns are rotatably embedded in the interiors of the lifting plates, and placing plates are rotatably arranged on the outer surfaces of the connecting columns; the purpose of the present application is to provide a debridement nursing device for operating room nursing, which can realize stable adjustment of the leg angle through motor driving, linkage of the lifting and cooling devices, synchronous injection of cold air to the muscle groups near the wound for analgesia and hemostasis, coverage of the wound by the air cover, non-contact disinfection and reduction of pollution.

This invention provides a method and device for displaying muscle tissue morphology based on a digital twin of the levator scapulae muscle. The method includes acquiring static magnetic resonance imaging data of the target user's shoulder and neck region, multi-angle dynamic optical motion capture data, and surface electromyography (EMG) signals of the target muscle group to construct multimodal physiological data of the levator scapulae muscle. Based on the static magnetic resonance imaging data, a static anatomical base model of the levator scapulae muscle is constructed using image segmentation and 3D reconstruction techniques. According to the multi-angle dynamic optical motion capture data and EMG signals, the activation sequence and corresponding activation intensity of the target nerve driving the contraction of the levator scapulae muscle under different movements are calculated. Based on the activation sequence and corresponding activation intensity of the target nerve, the static anatomical base model of the levator scapulae muscle is embedded into a pre-trained digital twin model of the levator scapulae muscle to obtain a target digital twin of the levator scapulae muscle. The input motion command is input into the target digital twin of the levator scapulae muscle, and the muscle tissue morphology results are output and displayed.

The invention discloses an ergonomic chair which comprises a monitoring module, an analysis module and an adjusting module, the monitoring module is used for collecting electromyographic signals of at least one target muscle group on the back of a user and preprocessing the electromyographic signals, and the analysis module is used for adjusting the electromyographic signals according to the preprocessed electromyographic signals. The adjusting module is used for determining the tension state of at least one target muscle group on the back of the user, positioning a main tension area according to the tension state of the at least one target muscle group and generating a corresponding adjusting signal according to the tension state and the main tension area, and the adjusting module is used for determining the tension muscle group and at least one adjusting assembly corresponding to the tension muscle group according to the adjusting signal; the position state and / or the form state of at least one corresponding adjusting assembly are / is adjusted in a sectional mode, so that the tension muscle group is relaxed; the muscle tension is directly monitored through the electromyographic signals, and sectional adjustment is carried out according to the muscle tension, so that force is accurately applied to different muscle groups, the local muscle tension is rapidly reduced, and a user is helped to rapidly relieve fatigue.

The invention discloses a double-rocker double-rotation butterfly machine, and relates to the field of indoor fitness facilities, the double-rocker double-rotation butterfly machine comprises a main frame group, and a main rocker group and an auxiliary rocker group which are movably connected to the main frame group, the main rocker group and the auxiliary rocker group are connected and linked through a middle connecting rod group, the middle connecting rod group is movably connected with a handle group, and the handle group is connected and linked with the main rocker group. Compared with an existing conventional butterfly machine body builder, turning rotation and movement of the upper limbs are achieved through transmission of the double rocker arms and a gear mechanism, rotation movement can be conducted while opening and closing actions are conducted, and actions of large muscle groups and joints of the upper limbs of the human body can be matched; the handle sleeve rotates and slides along the handle rod to be matched with actions of small muscle groups and joints of the hands, different chest clamping actions can be matched for multi-muscle group and multi-joint exercise, more control choices are provided for a user in the aspect of control, and the multi-degree-of-freedom chest clamping device has more advantages in the aspect of diversified exercise training requirements and use experience; and batch production and market popularization are easy, and good market value and social value are achieved.

This invention discloses a method, apparatus, device, and storage medium for determining airbag adjustment information, comprising: acquiring target parameter information of a target object, wherein the target parameter information includes at least sleep parameter information of the target object during sleep; determining target muscle group information related to the sleep quality of the target object based on the sleep parameter information; and determining airbag adjustment information matching the target object based on the target muscle group information. This technical solution solves the problems of limited adjustment methods and lack of flexibility, enabling flexible airbag adjustment based on the user's individual circumstances, thus improving the user experience.

The invention relates to the technical field of rehabilitation training, in particular to a hand function evaluation training method and system based on multi-sensor fusion, and the method comprises the steps: obtaining electromyographic signals of a plurality of motor muscle groups, angles of a plurality of finger joints and grip strength of a patient in last training; fitting the electromyographic signals of each motion muscle group at multiple moments to obtain an electromyographic signal-time curve of each motion muscle group, and calculating the muscle group stability degree; calculating the finger joint stability degree according to the angles of the finger joints at the multiple moments; calculating a hand function evaluation coefficient; and correcting the training intensity of the patient in the last training according to the hand function evaluation coefficient to obtain the training intensity of the patient in the current training. The adjustment amplitude of the training intensity is determined through the evaluation result, the safety of hand function training of the patient is ensured, and the training efficiency is improved.

This invention discloses a holistic exercise device that provides exercise for the user's core muscles and legs throughout the range of motion during various physical activities by simultaneously providing counterbalancing tension to the user's core muscles and legs when performing selected physical activities. The exercise device includes a waist ring, a left thigh ring, a right thigh ring, and left and right front and rear straps, all of which are heat-fused or sewn together to provide an elastic material specifically designed for a particular user. When worn by the user, the elastic rear and front straps of the exercise device provide counterbalancing tension to various muscle groups and legs depending on the physical activity being performed, and over time, through repeated use and practice, will provide the user with improved performance or rehabilitation when subsequently performed without the exercise device.

The utility model discloses a kind of shorts with electric stimulation, including the lower body of underclothes body that can be worn in lower body of user, underclothes body includes and the front electric stimulation unit corresponding with leg front muscle group and the rear electric stimulation unit corresponding with leg rear muscle group, front electric stimulation unit and rear electric stimulation unit all include and the electrode piece corresponding with muscle and the electric stimulation piece corresponding with acupoint, installation piece is provided on underclothes body, installation structure and connecting structure are provided on installation piece, front connector connected with front electric stimulation unit and rear connector connected with rear electric stimulation unit are provided in connecting structure, and electric stimulation generator is detachably connected on installation structure. The shorts with electric stimulation provided by the utility model, front electric stimulation unit and rear electric stimulation unit can stimulate leg muscle group, and acupoint can be stimulated by electric stimulation piece, so as to truly reach stimulation target muscle group, improve local blood circulation, relieve the purpose of muscle fatigue.

The utility model belongs to the technical field of fitness equipment, and particularly relates to a vibration kettle-bell. The utility model provides a vibration kettle-bell, and aims to solve the problem that the vibration amplitude of a sliding block of a vibration kettle-bell in the prior art cannot be adjusted. A vibration kettle-bell comprises a handle and a base, a sliding block is arranged between the handle and the base, an adjusting assembly for adjusting the vibration amplitude of the sliding block is further arranged between the handle and the base, a user can easily adjust the vibration amplitude through accurate control of the adjusting assembly, and different training requirements are met. Due to the characteristic, the vibration kettle-bell has higher flexibility and practicability in the field of fitness. The vibration function can stimulate deeper contraction and relaxation of muscles, blood circulation is accelerated, and the training efficiency is improved. And meanwhile, the adjustable vibration amplitude enables the trainee to perform more accurate and effective training aiming at a specific muscle group.

The present application relates to a rehabilitation system based on brain-computer interface (BCI) and functional electrical stimulation (FES) technology. Specifically, the present application relates to a system for detecting a user's exercise intention and promoting recovery of lower extremity functions through electrical stimulation according to same, and relates to a rehabilitation and assistance system for impaired persons suffering from paralysis or complete paralysis of the lower extremities. According to the present application, neural signals due to motor imagery of a user are analyzed in real time, and electrical stimulation is applied to a specific muscle group on the basis thereof to improve motor function.

The utility model provides a kind of electric stimulation auxiliary positioning glove for upper limb, including glove main body, adopt wearable flexible cover body structure by metacarpophalangeal joint extends to shoulder joint, wherein, metacarpophalangeal joint corresponding area is equipped with fabric connecting part to realize the fixed connection of volar commissure part, the palm corresponding area of glove main body is equipped with the finger sleeve structure for finger to pass through;Fixed component is used to prevent slipping to reach positioning effect with glove main body adhering to limb;Muscle group position mark is drawn on the glove main body, for identifying the position of muscle group;And electric stimulation site mark is identified on the glove main body, for identifying commonly used electric stimulation site, the electric stimulation site mark includes concentrically arranged circular indicating line and the composite positioning mark of cross-shaped opening composition, for the mark of stimulating position.The glove main body of the scheme is operated by unique mark by patient or family member etc. non medical personnel, and the work burden of medical staff is reduced.

The application discloses a perianal muscle group contraction monitoring system and relates to the technical field of medical rehabilitation devices. The monitoring system comprises: a patch type multi-point mechanical sensing structure, which is used for collecting a resistance change matrix corresponding to perianal muscle group contraction in a postoperative patient's Kegel movement process; a stress gradient model, which is used for quantifying stress distribution from a microscopic perspective; a moment curve reconstruction model, which is used for calculating a real-time perianal muscle group resultant force vector; an error contraction mode identification model, which is configured with a calibrated moment curve and is used for identifying an error contraction mode; a force-depth muscle group activation degree mapping relationship model, which is used for determining a depth muscle group activation degree; a three-dimensional moment heat map construction model, which is used for generating a three-dimensional moment heat map; and a contraction symmetry index construction model, which is used for generating a contraction efficiency index based on resistance change. The monitoring system is adhered to a patient's perineum part, guides the patient to perform Kegel movement, and collects movement data to guide actions in the movement process and generate next rehabilitation suggestions.

The invention relates to a non-contact medical picture operation terminal gesture decoding algorithm based on electromyographic signal recognition. Comprising a multi-channel electromyographic signal acquisition module, an anti-interference preprocessing module, a multi-dimensional feature fusion extraction module, a CNN-LSTM hybrid network decoding module and a scene self-adaptive optimization module, a multi-channel flexible electromyographic sensor array is used for acquiring electromyographic signals from key muscle groups, high-quality signal preprocessing is achieved, and multi-dimensional feature fusion extraction is achieved. The method comprises the following steps: constructing an initial feature set through time domain, frequency domain, time frequency and muscle group collaborative features, optimizing and screening core features by adopting a genetic algorithm and LASSO regression joint, extracting spatial features from a time-frequency spectrogram through a CNN network, extracting time sequence features through an LSTM network, and accurately decoding a degree-of-freedom gesture action. An online incremental learning mechanism and adaptive parameter configuration oriented to a sterile operating room and a postoperative rehabilitation environment are combined with signal quality monitoring to realize dynamic optimization. According to the method, the electromyographic action recognition precision and robustness in a complex environment are improved.

The utility model discloses a wheel resistance muscle driving vehicle, which relates to the technical field of fitness equipment and comprises a frame body, traveling wheels and a damping structure. The frame body comprises a saddle for supporting the sitting posture of a user and supporting legs capable of supporting the saddle, and the number of the supporting legs can meet the requirement for stably supporting the saddle; the walking wheels are rotationally connected to the bottom ends of the supporting legs, and advancing of the frame body can be achieved. The damping structures are connected between the supporting legs and the walking wheels, the damping structures can adjust the rotating friction force of the walking wheels, and then action resistance of different levels is provided. The utility model provides a brand-new exercise exercise device, namely a wheel resistance muscle driving vehicle, and fills the blank of dynamic exercise for specific muscle groups in the market. According to the device, through the unique structural design, traditional sitting posture training and dynamic resistance training are combined, and a brand-new and efficient training mode is provided for a user.