170 results about "Muscle fatigue" patented technology

The invention relates to a seat self-adaptive adjusting system and method based on multi-modal biological data, and the system comprises a multi-modal data collection module, a data processing and fusion module, a control decision module, and an execution mechanism. Physiological and posture information of a user is collected through a heart rate sensor, a myoelectricity sensor, a skin temperature sensor, a pressure distribution sensor, a three-dimensional posture sensor and other multi-mode sensors, a fatigue index and a posture deviation amount are calculated through feature extraction, normalization and weighted fusion, and the fatigue index and the posture deviation amount are compared with preset threshold values. The control decision module generates adjusting instructions of the backrest angle, the waist support height, the cushion inclination angle and the temperature control power based on fuzzy control and a prediction algorithm, and self-adaptive adjustment of the seat is completed through an execution mechanism. The method can achieve the precise recognition and active intervention of the fatigue and posture change of the user, is suitable for various scenes such as driving, working and rehabilitation, can remarkably improve the comfort, delays the muscle fatigue, and improves the posture health.

The invention discloses a lower limb muscle fatigue assessment method and system based on multi-modal physiological signals, and relates to the technical field of biomedical engineering, target muscles are selected, sEMG signals, AUS signals and respiratory flux VE data are synchronously collected, and RPE is recorded; preprocessing various signals to remove interference and abnormal points; extracting sEMG time-frequency domain features and AUS muscle thickness features; fusing features and constructing vectors in a standardized manner; dividing five fatigue grades; and a data set is divided according to stratified sampling, a model is optimized through five-fold cross validation, and real-time features are input to output a fatigue level. Multi-modal physiological signals are fused, fatigue evaluation accuracy is improved, different fatigue stages are finely adapted, muscle load and energy consumption are reduced through personalized adaption and a dynamic adjustment strategy, rehabilitation training safety and comfort are improved, and efficient recovery of lower limb movement functions is assisted.

The invention provides an electrical stimulation thumbtack needle system and method, and the method comprises the steps: determining the change gradient of the muscle contraction intensity of a target user through the median frequency feature of an electromyographic signal on the skin surface of the target user, and further determining the muscle fatigue feature of the target user; determining the change trend of the skin resistance of the target user according to the fluctuation characteristics of the skin resistance in the skin resistance data of the target user and the environmental temperature and humidity of the target user, and determining the tolerance index of the target user to electrical stimulation according to the muscle fatigue characteristics and the change trend of the skin resistance; the parameter deviation of each thumbtack needle of the electrical stimulation thumbtack needle equipment in the electrical stimulation process is determined; and based on all the parameter deviations, adjusting electrical stimulation parameter information of the electrical stimulation thumbtack needle equipment, and controlling the electrical stimulation thumbtack needle equipment to continuously perform electrical stimulation on the target user. By adopting the scheme, the stimulation parameters of the electrical stimulation thumbtack needle equipment can be dynamically adjusted according to the real-time physiological data of the user.

The invention provides an exercise load multi-objective optimization method based on an anti-gravity rehabilitation treadmill. The exercise load multi-objective optimization method comprises the steps of obtaining gait kinematics data, plantar pressure distribution data, electromyographic signal data and pain scores of lower limbs of a patient; based on the data, a gait asymmetry index and a myoelectricity activation sequence consistency index are screened out, the gait asymmetry index and the myoelectricity activation sequence consistency index are combined with pain scores to serve as key features, and a function grading model is constructed to obtain function grades; establishing a multi-objective optimization problem by taking minimization of a pain score, maximization of joint activity and electromyographic activation sequence consistency and minimization of muscle fatigue as objectives and taking non-overrun of articular cartilage contact stress as a constraint; an NSGA-III algorithm is adopted to solve the problem, and a Pareto optimal solution set of the weight reduction proportion and the speed of the treadmill is obtained; through a PPO reinforcement learning strategy network, taking the real-time state of a patient as input, and selecting and dynamically adjusting treadmill parameters in a Pareto solution set; and issuing the adjusted parameters to a treadmill execution mechanism in real time.

The invention discloses a lightweight surface electromyogram signal classification method and system. The method comprises the steps that original surface electromyogram signals are acquired; maintaining a dynamic reference vector capable of tracking the change of the physiological baseline of the signal; standardizing the original signal by using the dynamic reference vector, and generating a channel hybrid matrix according to the vector; extracting a local time-frequency characteristic pattern from the standardized signal; transforming the local time-frequency feature map by using a channel hybrid matrix so as to output a collaborative adaptive feature map capable of adapting to muscle collaborative mode change; and through a parallel sequence modeling module fusing a state space model and a multi-head self-attention mechanism, processing the collaborative adaptive feature map to obtain a final action category. The method improves the robustness of the model to individual difference and muscle fatigue, has the advantages of light weight and low delay while maintaining high classification precision, and is suitable for mobile or wearable equipment.

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 a muscle fatigue detection and treatment integrated fabric electronic system, which is characterized in that conductive fabric lines, physiological electrodes, vertical interconnected via holes and patch-type components are integrated on the same fabric substrate, and the conductive fabric lines are arranged on the surfaces of the two sides of the fabric substrate and are communicated with each other through the vertical interconnected via holes; the integrally formed circuit comprises an electrode array and a signal conditioning circuit, the electrode array is used for detecting electromyographic signals and applying transcutaneous electrical stimulation, and the signal conditioning circuit is used for electromyographic signal amplification, electrical stimulation waveform conditioning and overall sequential logic control and has the functions of safety isolation and electrical stimulation waveform detection. Components can be highly integrated on a single piece of fabric through process design, and electromyographic signal acquisition and transcutaneous electrical stimulation are realized. Experiments prove that when the system is worn on the arm, the fatigue process of the biceps brachii muscle can be monitored, fatigue recovery is effectively promoted, and the capacity of the system in closed-loop diagnosis and treatment is shown.

The invention discloses a snore-preventing device capable of being automatically adjusted to resist muscle fatigue. The snore-preventing device comprises a split tooth socket, an induction module, an integrated chip and a release module. The split tooth socket comprises a left rear molar tooth socket, a right rear molar tooth socket and an elastic pressing strip, the shell is formed by polyurethane 3D printing, a resin pressing die tooth socket is embedded in the shell, and a battery, an integrated chip and a signal circuit are arranged in the shell; the sensing modules are symmetrically arranged on the working surface of the inner side of the tooth socket and comprise flexible pressure sensors, humidity monitors and broken contact monitoring devices, the bottoms of the pressure sensors are arc-shaped triangular surfaces, the surfaces of the pressure sensors are covered with cellulose acetate films for resisting bacteria, and humidity monitoring ports are provided with carbon nanofiber pads for resisting moisture. The integrated chip converts the sensing data into an electric signal through the analog-to-digital converter, the signal processor and the transmitter and transmits the electric signal to the release module; after receiving the signal, the release module generates micro-current through an electrode to stimulate muscles, and the snoring symptom is inhibited. The shell is covered with a poly-o-phenylenediamine membrane, so that durability is enhanced, and the whole structure is small and portable and suitable for sleep breathing management.

The present disclosure relates to relates to a assistive wearable system for relieving muscle fatigue in the neck and shoulders, the assistive wearable system includes a head gear mounted to cover a head of a user, a wearable platform mounted on an upper body of the user, and a wire tension controller that maintains tension of a wire by being seated on the wearable platform and fixing to operate a semi-active ratchet mechanism structure as a brake to detect a moment a movement of the wire stops as connected to the head gear by the wire, and stop unwinding of the wire, wherein the ratchet mechanism rotates the ratchet based on the unwinding and pulling of the wire.

The invention relates to the technical field of rehabilitation training, and discloses an electromyographic signal feedback-based upper limb rehabilitation training system, which comprises a main frame body, a training mechanism is mounted on the middle side in the main frame body, and the training mechanism comprises a flexion and extension assembly, a fixing assembly, a massage assembly and an auxiliary training assembly, and is used for carrying out rehabilitation training on arms of a user. An electromyographic signal collecting mechanism is installed on the middle side of the interior of the main frame body and used for collecting the training condition of a user, and a feedback display mechanism is installed on one side of the interior of the main frame body and used for feeding back collected data and displaying the training condition in real time. Through the feedback display mechanism, a user and medical staff can know the muscle activity condition in real time, automatic inflation or deflation is achieved through an air bag in the massage assembly, meanwhile, a vibration motor drives a massage plate and a circular massage block to vibrate, muscles and acupuncture points are stimulated, blood circulation is promoted, muscle fatigue and aching pain can be effectively relieved, and the rehabilitation effect is improved.

A method for determining a muscle fatigue of a muscle includes the step of electrostimulating the muscle at different frequencies, wherein the electrostimulation includes, at each frequency, a repetition of pulses during a period of time lower than 5 s. The method further includes the steps of determining forces developed by the muscle in response to the electrostimulations of step (i); and determining a muscle fatigue on basis of the determined forces.

The invention discloses a degradable, asymmetric-adhesion and non-swelling Janus hydrogel adhesive as well as a preparation method and application thereof, and belongs to the technical field of functional composite materials and preparation thereof. The problems that an existing Janus hydrogel cannot be degraded, is weak in adhesive force, adheres and is high in swelling are solved. Polyethylene glycol with double bonds, sodium alginate and chitosan are used for physical and covalent cross-linking, a degradable hydrogel substrate is constructed and then soaked in a phosphate buffer solution for swelling equilibrium, then a solution containing chitosan is used for preparing an adhesion coating, and the degradable and asymmetrically-adhered non-swelling Janus hydrogel adhesive is obtained. The adhesive can be applied to the biomedical fields of wound healing anti-adhesion, in-vivo degradability, intestinal repair and the like, and can also be used for adhesion of bioelectronics, epidermal physiological signal monitoring sensors, epidermal muscle fatigue monitoring sensors, rat subcutaneous muscle physiological signal monitoring sensors and muscle fatigue monitoring sensors.

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 application discloses a lower limb muscle fatigue factor analysis method fusing multiple muscle shape features, and comprises the following steps: acquiring muscle shape features of a measured position based on three-dimensional coordinates of marker points of motion capture, constructing a multidimensional feature vector through the muscle shape features, and screening sensitive features sensitive to a fatigue state through variance analysis; obtaining combined features with strong sensitivity to the fatigue state and high interpretability through fatigue correlation analysis and joint feature screening; fusing the combined features into multidimensional fusion features through principal component analysis dimension reduction processing, and obtaining a fatigue factor based on the multidimensional fusion features. The application discloses a lower limb muscle fatigue factor analysis method fusing multiple muscle shape features, a system and a storage medium, synergic shape changes of the vastus lateralis muscle and the vastus medialis muscle are fused through a three-dimensional cone body volume model, fatigue degree quantitative indexes and fatigue cause contribution degrees are output in combination with an interpretable statistical model, and the lower limb muscle fatigue cause is explained.

The invention provides an intelligent fatigue recognition method and device, electronic equipment and a storage medium, and the method comprises the steps: evaluating a fatigue index of a target user through two dimensions, i.e., a target conduction velocity and a target fractal dimension, the target conduction velocity being capable of reflecting a muscle fiber function, the target fractal dimension being capable of reflecting neural control complexity, and the target fractal dimension being capable of reflecting neural control complexity; one-sidedness of single index evaluation is avoided, and muscle fatigue and central fatigue can be distinguished more accurately; through multi-channel and multi-time-scale analysis, signal characteristics of different muscle areas and different contraction rhythms are covered, and errors of a single channel and a time scale are reduced. Furthermore, the peripheral fatigue index and the central fatigue index of the target user are calculated in combination with the baseline conduction velocity and the baseline fractal dimension obtained based on the steady state surface electromyogram signal of the target user, and the method can adapt to the muscle basic states of different users, so that the evaluation result is more personalized and higher in accuracy.

The utility model relates to the technical field of bicycle manufacturing, and discloses a bicycle adjustable saddle which comprises a bicycle frame, a connecting rod is connected to the inner wall of the bicycle frame in a sliding mode, the inner wall of the connecting rod is connected with the bicycle frame through a lifting assembly so as to be used for adjusting the height of a saddle body, and a connecting frame is fixedly connected to the top end of the connecting rod. The inner wall of the connecting frame is slidably connected with a sliding frame, the inner wall of the sliding frame is rotatably connected with a rotary knob, the rear end of the rotary knob is connected with the connecting frame through a movable assembly so as to be used for adjusting the front-back position of the saddle body, and a buckle assembly is arranged on the outer wall of the rotary knob. By means of the rotatable design and the liftable design, the height and the angle of the saddle body can be adjusted, the height is adjusted to ensure that leg muscles are evenly used, unnecessary muscle fatigue is reduced, the angle is adjusted to ensure that the buttocks and the spine are located at the comfortable positions, discomfort caused by long-time riding is reduced, and the riding comfort is improved. And the riding comfort and efficiency are improved.

The utility model relates to the technical field of medical auxiliary equipment, and provides an anti-gripping limb binding device which comprises a glove body, the glove body comprises a palm part and finger parts, and a gripping block is arranged outside the side, located on the palm, of the palm part; the side, attached to the palm, of the holding block is arranged to be an arc face, the interior of the holding block is hollow, a binding unit is arranged in the holding block and comprises a binding belt, and the binding belt penetrates through the surface of the holding block, is connected with the finger part and is used for tensioning the finger part on the surface of the holding block; the wrist restraining assembly comprises a lower restraining plate, and the lower restraining plate is arranged on the holding block, located at the end, away from the finger part, of the palm part and used for being tightly attached to the wrist and limiting the position between the palm and the wrist. The hand of a patient can be kept in a relaxed half-holding state in the long-time binding process, hand muscle fatigue is avoided, meanwhile, the positions of fingers and the relative angle between the palm and the wrist can be fixed, the palm is prevented from hooking a pipeline, and safety is improved.

This application relates to the fields of biomedical engineering and rehabilitation engineering technology, and discloses a functional electrical stimulation method and system based on physiological simulation and adaptive closed-loop feedback. The method includes: calculating an ideal muscle activation curve based on a target trajectory; performing spatiotemporal asynchronous co-coding to generate a biomimetic stimulation pulse sequence by simulating temporal asynchrony, spatial and intensity modulation, and multi-muscle synergistic timing; simultaneously applying stimulation while monitoring the actual kinematic state and muscle physiological state in real time using sensors; and dynamically adjusting the internal parameters of the spatiotemporal asynchronous co-coding (T-S-C coding) based on the evaluation results of trajectory error and fatigue index to form an adaptive closed loop. This application, by combining biomimetic coding with an intelligent closed loop, fundamentally solves the problems of motion stiffness, muscle fatigue, and poor control precision caused by traditional FES, achieving smooth, sustained, and precise personalized motor function rehabilitation.

This invention discloses an intelligent exercise assessment and early warning system based on multi-source biosignal fusion, belonging to the field of exercise risk early warning technology. It collects multi-source data, including electromyography (EMG), heart rate, blood oxygen, skin conductance, and acceleration, from various wearable sensors to assess muscle fatigue, cardiovascular load, exercise status, and environmental factors. After preprocessing, the system uses quantitative models such as the muscle fatigue correction index and the cardiovascular load dynamic coefficient to calculate a comprehensive exercise risk early warning index by integrating physiological state and environmental factors. This results in a normalized risk classification, corresponding to low, medium, and high risk levels and marked with different color icons. This system overcomes the limitations of single signals, considering the synergistic effects of multi-dimensional physiological indicators and the influence of environmental factors, improving the accuracy of assessment in complex scenarios. It can effectively intervene before risks develop and is suitable for scenarios such as mass fitness and professional training. It is integrated into lightweight wearable devices without interfering with the exercise process.

The invention provides a human-machine cooperation assembly planning method based on human body real-time muscle fatigue, and relates to the technical field of human-machine cooperation assembly manufacturing, and the method comprises the steps: constructing a muscle fatigue index model through a multi-angle motion image set, a human body skeletal muscle model and a biomechanical data set; training the deep learning model through the sample assembly action image set, and constructing an action category recognition model; according to the actual assembly action image set, the human skeletal muscle model, the muscle fatigue index model and the action category recognition model, the actual assembly time consumption and the actual fatigue accumulated value of the person are obtained through calculation; and based on the actual assembly time consumption of the robot, the actual assembly time consumption of the person and the actual fatigue accumulated value, an optimal population is obtained through calculation of a multi-target genetic algorithm, and an optimized man-machine cooperation assembly process is obtained through the optimal population. According to the method, human muscle fatigue and assembling action time consumption are monitored in a non-invasive and real-time mode, the man-machine cooperation assembling procedure is dynamically adjusted, the man-machine cooperation assembling efficiency is improved, human muscle fatigue is reduced, and meanwhile the method is more suitable for the actual assembling environment.

The invention provides an intelligent sportswear muscle fatigue degree dynamic evaluation method and system, and relates to the technical field of intelligent sportswear, and the method comprises the steps: collecting muscle pressure, surface temperature and electric signal data, extracting a multi-dimensional feature vector through time-frequency domain decomposition, constructing a dynamic connection network through an adaptive neural synaptic algorithm, and carrying out the dynamic evaluation of the muscle fatigue degree of the intelligent sportswear. And establishing a fatigue evaluation function, determining a fatigue value of the muscle group, dynamically updating a personalized fatigue threshold value, and performing real-time monitoring.

The utility model provides an elastic self-resetting backrest seat, which relates to the technical field of office furniture, and comprises a waist leaning part and a backrest part, a fixed cover plate is arranged on the waist leaning part, a support piece is rotatably connected on the fixed cover plate, and the backrest part is connected on the support piece; a limiting space is formed between the fixed cover plate and the waist leaning part, and the lower end of the supporting piece extends and is inserted into the limiting space; the limiting space is further provided with a reset component used for abutting against the supporting piece. The chair has the beneficial effects that the backrest part is movably connected to the waist leaning part by adopting various structures such as the fixed cover plate, the supporting piece, the bolt and the reset part, so that the backrest part can rotate relative to the waist leaning part in the process that a human body leans backwards, and the backrest part is reset under the action of the reset part when the human body leans forwards; therefore, differentiated support is provided for different parts of the back of the human body, the comfort level is high, and muscle fatigue is reduced.

The utility model relates to the technical field of auxiliary walking, and discloses an auxiliary walking device which comprises a seat, two auxiliary mechanisms are arranged on the back face of the seat, a hydraulic rod A is fixedly connected to one side of each auxiliary mechanism, an adjusting mechanism is welded to the top of the back face of each hydraulic rod A, and a rotating shaft block is fixedly connected to the back face of each adjusting mechanism. According to the auxiliary walking device, through the arrangement of the auxiliary mechanism, the hydraulic rod A, the adjusting mechanism, the electric telescopic rod and the rotating shaft block, a power source is switched on, the hydraulic rod A is started, the hydraulic rod A moves the adjusting mechanism towards the back face under the action of the auxiliary mechanism, and therefore the distance between the arm chair and the seat is adjusted till the appropriate distance is achieved, and then the electric telescopic rod is started; the angle of the arm-chair is adjusted by the electric telescopic rod under the action of the rotating shaft rod and the rotating shaft block until the angle is adjusted to a proper angle, so that different users can conveniently choose a proper angle to lean against the arm-chair, muscle fatigue and discomfort are reduced, and a certain comfort degree is achieved.

The embodiment of the invention provides an electrical impedance function imaging monitoring system and method for muscle rehabilitation training. The method comprises the steps that real-time electrical impedance data in the muscle rehabilitation training process are collected; calculating a muscle fatigue state index based on the acquired electrical impedance data; determining a dynamic monitoring frequency adjustment parameter based on the change trend of the muscle fatigue state index; and regulating and controlling the monitoring frequency by using the dynamic monitoring frequency regulation parameter, and carrying out continuous electrical impedance function imaging monitoring. Through the scheme of the embodiment of the invention, the problem of how to dynamically regulate and control the monitoring frequency according to the change of the muscle fatigue state so as to solve the problem of coexistence of data redundancy and omission in long-term monitoring can be solved.

The invention relates to the technical field of muscle fatigue prediction, in particular to a muscle fatigue prediction method and system based on a BP neural network model, and the method comprises the steps: carrying out the filtering processing of original electromyographic signal data, and obtaining the electromyographic signal data; according to the maximum equal-length shrinkage corresponding to each individual and the root-mean-square value of each individual, obtaining standard electromyographic signal data of each individual; the integral myoelectricity value and the wavelet packet entropy of each muscle are obtained; optimizing the BP neural network configuration to obtain an optimized BP neural network structure; training the optimized BP neural network structure according to the integral myoelectricity value of each muscle, the wavelet packet entropy, the myoelectricity signal data set and the scoring result of the fatigue degree of each muscle to obtain a trained BP neural network structure; and performing muscle fatigue prediction through the trained BP neural network structure. According to the invention, the accuracy of muscle fatigue prediction is improved.

The invention discloses an immersion type reading auxiliary device. The immersion type reading auxiliary device comprises a table body, two lateral shielding plates and a lighting module. The desk body is provided with a bookcase, an adjusting support and a bookshelf, and the bookshelf is arranged on the desk body through the adjusting support; the two lateral shielding plates are arranged on the two sides of the table body respectively and supported by the table body, and the lateral shielding mechanism comprises a folded state and an unfolded state; the lighting module is arranged on the desk body, and the light output direction of the lighting module is configured to face the bookshelf. The support is adjusted so that a user can optimize the spatial position and the inclination angle of the bookshelf according to personal requirements, the reading comfort is improved, and muscle fatigue caused by bad postures can be effectively prevented. The lateral shielding plates form effective lateral visual isolation in the unfolded state, the lateral shielding plates and the bookcase jointly form a semi-enclosed reading space, interference of the surrounding environment to sight is limited, and a good visual environment is created for deep reading. The illumination module provides stable and uniform illumination for the reading area, ensures visual comfort and relieves eye fatigue.

The utility model relates to a sock capable of preventing a foot arch from falling. The sock comprises a sock body, a foot arch lifting piece, a fixing piece and a muscle massage piece. The sock body is a stocking, and the fixing piece is arranged at a cylinder opening of the sock body. The arch lifting piece extends in the length direction of a sock leg of the sock body, one end of the arch lifting piece is connected with the fixing piece, and the other end of the arch lifting piece is arranged at the position, corresponding to the human arch, of the sock body; the muscle massage piece is wound around the sock body and corresponds to the shank of the human body. The foot arch lifting piece has the functions of lifting and supporting the foot arch, the muscle massage piece has the function of massaging calf muscles, muscle fatigue is delayed, the descending height of the inner side longitudinal arch after foot fatigue is reduced, and therefore the exercise performance is improved.

This utility model discloses a portable grounding resistance meter calibration device, relating to the field of resistance meter calibration technology. It includes a housing with a cover hinged to one side. A calibration instrument body is fixedly connected inside the housing, and a test interface is provided on one side of the calibration instrument body. A knob is rotatably connected to the side of the test interface on the calibration instrument body. This utility model adopts the above structure, fixing side frames to both sides of the housing. A drive assembly, a lifting assembly, and a moving assembly are installed on the side frames. The drive assembly drives the lifting and moving components, forming a bag-like structure. Workers can move the device via the moving assembly by lifting the lifting assembly, avoiding the arm muscle fatigue and soreness caused by prolonged carrying of traditional handheld devices, reducing the risk of the equipment falling and being damaged due to physical exhaustion, and making it easy to carry, greatly improving operational convenience.

Methods and systems for providing monitoring and feedback of muscle use involve monitoring frequencies in measurements of acceleration and / or rotation of at least one muscle, detecting high frequency oscillations (HFOs) indicative of muscle fatigue preceding muscle failure in the monitored frequencies, and, in response to the detection of the HFOs, sending an alert before occurrence of muscle failure.

The utility model discloses an auxiliary support device for gastrointestinal endoscopy, which comprises a sliding seat, the sliding seat is provided with a sliding cavity and a mounting device used for being fixed on a sickbed, the sliding cavity is slidably provided with a sliding plate, one end of the sliding plate can extend out of the sliding cavity, and the sliding seat is provided with an adjusting device capable of driving the sliding plate to extend out of or retract into the sliding cavity. A supporting plate with one end rotationally connected to the sliding plate and a fixing and supporting device for fixing the supporting plate after the supporting plate rotates are arranged at the extending end of the sliding plate, and a supporting frame capable of moving relative to the supporting plate and a locking device for locking the supporting frame after the supporting frame moves to adjust the position are arranged on the supporting plate. And a supporting pad for supporting the belly of the patient is arranged on the supporting frame. The abdomen supporting device is simple in structure and practical, the supporting pad can be adjusted to be exactly attached to the belly of a patient, the belly of the patient is supported, auxiliary supporting is carried out, examination is facilitated, medical staff can be prevented from holding the belly of the patient with hands for a long time, muscle fatigue is avoided, and manpower is saved.