223 results about "Foot pressure" patented technology

The invention discloses a Parkinson's disease gait analysis and diagnosis method based on deep learning, and belongs to the technical field of medical signal processing. The method comprises the following steps: acquiring multi-modal time sequence gait data of Parkinson's disease, preprocessing the multi-modal time sequence gait data, and dividing a data set to obtain preprocessed multi-modal time sequence gait data; the multi-modal time sequence gait data at least comprises foot pressure data, lower limb motion acceleration and lower limb swing angular velocity; designing a feature extraction network structure of a multi-channel convolutional neural, extracting features from the multi-modal time sequence gait data, and obtaining useful features from local to global; establishing a Transform feature fusion module, and introducing a multi-head self-attention mechanism to process all input useful feature data in parallel; a softmax classification diagnosis module is provided, Dropout and regularization technologies are adopted to avoid overfitting of data, an Adam optimizer is utilized to optimize model parameters, and a Parkinson's disease gait analysis diagnosis result is obtained.

The invention relates to a control method of an artificial limb knee joint. According to the technical scheme, the control method comprises the steps that a heel pressure sensor signal Ph, a sole pressure sensor signal Pf and an inclination angle theta and an angular velocity omega output by a shank inertial measurement unit are obtained in real time; when it is detected that the Pf decline rate exceeds a preset multiple threshold value of the heel pressure decline rate, dynamically calibrating an inclination angle reference theta base and calculating an offset theta cal; dividing six stages of a gait period based on the theta < cal > and the pressure signal, and calculating period duration T; a step speed-damping mapping knowledge base is constructed, and the damping opening degree in the early stage of swing is optimized through iterative learning; finally, the adjusted U value is applied in the early stage of swinging, and fixed damping is kept in other stages. The method is mainly used for improving the walking naturalness and terrain adaptability of the artificial limb at different speeds.

The invention provides a knee joint dyskinesia function evaluation method and system. The method comprises the following steps: by collecting lower limb kinematics parameters, plantar pressure distribution data and gait rhythm parameter groups of a subject in a standard gait test, generating a knee joint motion trail map comprising sagittal plane, coronal plane and rotation trail components, dividing a dynamic phase window based on the gait rhythm parameters, calculating a fluctuation feature vector of a sagittal plane track component, performing nonlinear decomposition on a coronal plane and a rotation track component to separate an adduction and abduction motion principal component and a rotation coupling component, constructing a joint stability quantitative index, and performing dynamic space registration on a bilateral knee joint track map to obtain a joint stability quantitative index; and calculating a three-dimensional trajectory similarity weight matrix, and calculating a dynamic symmetry index in combination with the cross-side difference coefficient of the joint stability quantitative index. According to the technical scheme provided by the invention, a scientific basis is provided for personalized rehabilitation treatment.

A method performed by a computer system for monitoring diabetes and comprising: a model explainability phase, comprising steps of: - collecting specific foot data from at least one sensor disposed at least within a shoe insole of a user, - collecting a plurality of trained machine learning models configured for decision-making in diabetes diagnosis based on a plurality of collected data, - based on the plurality of trained machine learning models, generating a plurality of specific machine learning models, said specific machine learning models being specified for decision-making in diabetes diagnosis based on the specific foot data, and a model reliability assessment phase, comprising steps of: - evaluating a reliability of each of the specific machine learning model based on neutrosophic sets and intuitionistic fuzzy sets, - based on the result of the evaluation step, selecting the optimized machine learning model for monitoring diabetes based on the specific foot data.

The invention belongs to the field of medical health, and provides a preliminary sarcopenia screening method based on paired foot pressure data, which comprises the following steps: firstly, acquiring foot pressure signals of left and right feet of a subject in a walking process to obtain corresponding foot pressure characteristics of the left and right feet; fusing by adopting a multiplicative combination mode to obtain total pressure characteristics of each walking stage in each walking period; then, a GMM model is adopted to create a plantar pressure mode, plantar pressure mode features are obtained, attention mechanism fusion is adopted to obtain single-cycle fusion pressure mode features and multi-cycle fusion pressure mode features, and time sequence features are obtained through learning of an improved GRU module; and finally, sending the corresponding multi-cycle fusion pressure mode features and the time sequence features into a multi-layer perceptron, and outputting the prediction probability of the sarcopenia. The method fully considers the independence of the left and right foot pressure signal features, introduces the joint relation of the two features, more comprehensively learns the gait features, and effectively improves the accuracy of primary screening of sarcopenia.

The invention relates to the technical field of intelligent wearable equipment, and discloses a motion sensing shoe based on plantar pressure monitoring and a motion trend analysis method. According to the motion sensing shoe, various types of sensors can be adopted to work in a combined mode, state trajectory tracking and pressure change condition collection of the foot are achieved, the problem that the data size is limited due to a single sensor is effectively solved by means of multi-modal data of foot pressure and foot postures, and stability and robustness are improved; real-time data of all the modules are comprehensively analyzed, potential information in the exercise data is fully mined, analysis of the exercise trend is achieved, and therefore more valuable exercise guidance and health suggestions are provided for users.

The invention discloses a lower limb motion capture method and device based on a flexible pressure sensor array and a medium, and the method comprises the steps: collecting foot pressure signals generated by two feet when a human body moves through the flexible pressure sensor array arranged on an insole; the collected foot pressure signals are input into a pre-trained action estimation model, coordinates of lower limb joint points are predicted and output, and then real-time human body lower limb movement conditions are obtained; wherein the predicted lower limb joint points comprise ten key points, namely hip joints, knees, ankles, heels and toes of the left limb and the right limb. By combining the flexible pressure sensor array and the motion estimation model, the motion position of the lower limb joint is estimated only based on the flexible pressure sensor on the insole, and the problems of high cost and complicated wearing in the prior art are solved. The method can be widely applied to the technical field of motion capture.

A hands-free door operating apparatus includes a housing attachable to a hinged door, an activation arm configured to receive foot pressure, and an opening arm arranged to couple to a nearby structure. Foot pressure on the activation arm initiates a mechanical sequence using rack-and-pinion assemblies and springs of differing force to open the door. A toggle lever temporarily restrains a return spring to allow the door to open under a weaker spring force, then releases the return spring to automatically re-close the door. The system enables door operation through a single foot input, without the use of hands.

The invention discloses a gradient Voronoi porous shoe insole modeling method based on plantar biomechanics, and belongs to the field of porous structure design, and the method comprises the steps: S1, mapping an entity shoe insole stress field in a static standing state of a human body into Voronoi site distribution in a shoe insole model design domain, generating a Voronoi diagram in gradient distribution on the macroscopic level; s2, mapping the pressure field of the human body in the static standing state into the radius of each support rod with the target density of the model so as to control the radius of each support rod; and S3, taking the Voronoi diagram as a porous structure skeleton, generating a Voronoi strut structure based on an implicit surface modeling technology, and generating the gradient variable-radius Voronoi strut shoe insole with a continuous and smooth boundary through a fairing algorithm. According to the method, the porous shoe insole with gradient mechanical properties is generated based on plantar pressure distribution, the plantar peak force is reduced, meanwhile, the human foot pressure is more uniformly distributed, and meanwhile, mechanical-driven gradient porous shoe insole modeling is achieved.

The invention relates to a spinal degenerative disease grading early warning and rehabilitation management system and method, and belongs to the technical field of medical equipment. The system comprises a system control module, a first-stage detection module, a second-stage detection module, a third-stage detection module, a data processing module, an evaluation module and a rehabilitation management module. The first-stage detection module is used for acquiring foot pressure distribution data of a patient; the secondary detection module collects electromyographic signal data of muscles around the spine of the patient; the third-stage detection module is used for collecting vertebral bone mineral density data of the patient. The data processing module is used for preprocessing and analyzing the collected data; the evaluation module is used for carrying out grading evaluation on the spinal degenerative lesion; and the rehabilitation management module formulates a personalized rehabilitation scheme according to the evaluation result. The system adopts a logic mechanism of hierarchical detection and hierarchical intervention, automatically adjusts intervention measures according to different evaluation indexes, and realizes accurate rehabilitation management. The risk of spinal degenerative diseases is found in an early stage, a targeted rehabilitation scheme is provided, and spinal diseases are effectively prevented and managed.

The utility model discloses a palm sole which comprises an insole and a sole body, the edge of the insole is provided with a wrapping edge arranged in a surrounding mode, the sole body is fixedly connected to the bottom face of the insole and the bottom face of the wrapping edge, and the wrapping edge and the sole body are combined to form a concave structure with an opening in the top. The insole is formed by staggering and overlapping at least three layers of palm fiber sheets and tightly gluing the palm fiber sheets, the edge and the bottom surface of the insole are fixedly connected in the concave structure, the top surface of the insole and the top surface of the covered edge are positioned on the same horizontal plane, and the top surface of the insole is a net-shaped rough surface. The palm sole has good air permeability and water and sweat absorption functions, can effectively keep feet dry and comfortable, reduces peculiar smell, can provide certain elasticity and cushioning performance, relieves foot pressure, improves wearing comfort, and is safe and environment-friendly to use.

This invention belongs to the field of medical device technology and discloses a foot pressure relief device for diabetic foot. It includes a base, a pressure relief plate and a motor connected to the base, and a foot pedal and a transmission assembly connected to the pressure relief plate. The transmission assembly includes a crank, a first connecting rod, and a sliding seat. The crank is fixedly connected to the output shaft of the motor, and the sliding seat is connected to the pressure relief plate. The two ends of the first connecting rod are respectively connected to the crank and the sliding seat. The sliding seat is connected to a foot rolling shaft and a second connecting rod, and the second connecting rod is connected to a foot massage roller. A buffer spring is provided between the pressure relief plate and the base. The foot pedal has a through groove, and the foot rolling shaft is connected to a foot massage roller. This invention utilizes the foot rolling shaft / foot massage roller and the foot massage roller to simultaneously perform rolling massage on the sole and instep of the foot. The periodic oscillation of the pressure relief plate causes the heel and toes to alternately rise, resulting in good pressure relief for the foot.

The invention relates to an embedded human body gait recognition system and method. The system comprises a pressure sensing array which comprises a plurality of pressure sensing units distributed on a human body sole fabric and is used for collecting and outputting a plurality of paths of sole pressure signals; the filtering module is used for filtering the input plantar pressure signal; the data processing module is used for sequentially gating the pressure sensing units to obtain filtered plantar pressure signals and converting the plantar pressure signals into digital signals to obtain plantar pressure data; and the classification and recognition module is used for converting the plantar pressure data into a plantar pressure cloud picture, and then recognizing the plantar pressure cloud picture by using a neural network model to obtain a human body gait classification result. According to the method, efficient processing of the plantar pressure data and rapid output of the gait classification result can be achieved, the requirement for real-time gait recognition in an actual scene is met, and the method has wide application prospects in the fields of gait anomaly monitoring, falling risk prevention and the like.

The pressure sensor can directly contact the foot, which can easily cause pain. [Solution] When the subtalar joint, navicular bone, and medial cuneiform bone area move, the membrane 37 is pushed inward into the main body 35, and the air inside the main body 35 moves to the relief section 34 via the hose 32. The air flow rate at this time is acquired by the flow sensor 33. The output signal of the flow sensor 33 is transmitted from the sensor board 4 to the computer 5. The pronation measurement unit 3 acquires from the output signal of the flow sensor 33 where and to what extent pronation movement is occurring. The judgment unit 52 calculates and outputs the pronation movement and the COP of the foot based on these measurement results. The measurement results are generated in real time. The subject refers to these measurement results and performs correction through effort walking.

The invention discloses a multi-view crowd stride frequency identification method and system based on Openpose, a medium and equipment. The method comprises the following steps: S1, acquiring stride frequency observation data of a crowd and processing the stride frequency observation data; s2, constructing a crowd stride frequency visual identification network, inputting the processed data into the crowd stride frequency visual identification network, and performing identification to obtain stride frequency, the step S2 specifically comprising the following steps: S21, inputting the processed data into an Openpose network, and performing identification to obtain human body posture identification points; s22, utilizing a cosine similarity matching method to correct a human body posture matrix output by Openpose network identification; and S23, taking the time sequence information of the corrected human body posture recognition points as input, and performing crowd stride frequency recognition through a peak value recognition algorithm based on a foot pressure center CoP step-down model. According to the method, efficient and accurate identification of the instantaneous stride frequency of the crowd can be realized.

To provide a presser device for a covering chain stitch sewing machine which solves the problem in which, compared with conventional ones, the seam pitches apparently change due to the change of the thickness of a fabric and this damages beautiful appearance.SOLUTION: A presser device 13 includes a presser mechanism 2, and a pressing pressure conversion mechanism 4. The presser mechanism 2 includes a presser bar 21, a presser bar holder 24 for holding the presser bar 21, and an upper side spring 27. The pressing pressure conversion mechanism 4 includes a pressing pressure conversion crank 41 whose two action ends are arranged between the upper side spring 27 and the presser bar holder 24, and which oscillates. Therefore, even when the thickness of a fabric changes during sewing, the change in a frictional force generating between the upper surface of the fabric and the bottom surface of the presser can be suppressed, the amount of feeding the fabric is stabilized, and the seam pitches can be made apparently uniform, so that beautiful appearance can be maintained.SELECTED DRAWING: Figure 2

The invention relates to a health association analysis method based on foot pressure and gait dynamic monitoring. The method comprises the following steps: acquiring original plantar pressure data; performing vibration suppression processing on the original plantar pressure data by adopting dual-reference adaptive filtering according to the vibration of the treadmill and the torso acceleration to obtain expected plantar pressure data; carrying out gait cycle division on the expected plantar pressure data; gait features are extracted from the data obtained after gait cycle division; a causal reasoning model is constructed and trained, and the causal reasoning model adopts a three-layer directed graph model and comprises an observation layer formed by gait feature nodes, a latent variable layer formed by health correlation feature nodes and an output layer formed by health risk item nodes; causal edges are set among the hierarchical nodes according to causal constraints; during reasoning, the trained causal reasoning model is utilized to establish output from gait features to health association features and from the health association features to risk item probabilities; therefore, health risk analysis is carried out according to the gait features.

An arch supporting insole for preventing and conditioning corn, bone spur and plantar fasciitis comprises an insole body and a cloth liner layer integrally formed on the top face of the insole body, the insole body is made of PU materials, a supporting portion is arranged on the portion, on the half sole portion, of the top face of the insole body, a bearing area for supporting an arch is arranged at the arch position, and the insole body is made of PU materials. A side edge is arranged on the heel side, and the supporting part is arranged under the position of toes. In addition, a massage area is further arranged on the top face of the insole body, massage protruding points are distributed on the massage area, and through holes are further formed among the massage protruding points of the front supporting part. The insole has the advantages of being soft and comfortable, has a good arch supporting effect, and can relieve foot pressure and relieve foot spur or plantar fasciitis and painful feeling when a user wears the insole. Meanwhile, certain prevention and conditioning effects can be achieved on sole bone spur or sole fascitis and corn. The practicability is high, and the popularization significance is high.

This utility model discloses a foot pressure gait device for foot assessment, relating to the field of analytical equipment technology. The foot pressure gait device includes: a monitoring module comprising a housing and a data acquisition unit mounted on the housing; and a buffer pad connected to one side of the housing via a connecting part and capable of flipping relative to the housing. When the buffer pad is flipped to a preset position, the buffer pad and the housing are arranged in upper and lower layers. The technical solution provided by this utility model can solve the problem of insufficient constraint between the gait analyzer and the buffer pad, which leads to an increased distance between the buffer pad and the gait analyzer during use, requiring multiple adjustments of the buffer pad.

The invention relates to the technical field of intelligent sensing and Internet of Things technologies, in particular to an indoor personnel identity and activity track recognition method and system, and the system comprises a pressure sensing module, an infrared monitoring module, a data queue, a pressure feature registration module, a data processing and identity recognition module, and a track construction and behavior analysis module. The pressure sensing module is composed of a plurality of pressure detection ground mats integrated with high-precision pressure sensors, and the pressure detection ground mats are fixedly laid on the inner side of an entrance door, a bedroom doorway, a bathroom doorway and a kitchen doorway which must pass through; the pressure detection ground mat is used for measuring a characteristic pressure value generated by a person stepping on the pressure detection ground mat and a sole characteristic pressure distribution profile; key identity features are obtained through the arranged pressure ground mat, seamless trajectory tracking is carried out in combination with the widely-deployed infrared sensor, and therefore non-inductive, privacy-violation-free and high-reliability indoor person recognition and positioning are achieved.

The present invention discloses a smart sensing insole including a pressure sensing layer (for instance a pressure plate) which includes a configuration of longitudinal conductive lines and transverse conductive lines. The intersection of the longitudinal conductive lines and transverse conductive lines is used as a sensing point to measure the pressure and the distribution when the foot pressure changes. The area occupied by the sensing points is between 3-50% of the entire insole area. The sensing point position is configurated at pressure peak position, pressure center area, foot arch position.

The invention discloses a presser foot pressure control method, system and device and an electronic buttonholing machine, and relates to the technical field of electronic buttonholing machines.The presser foot pressure control method comprises the steps that a motor controls a presser foot to press downwards, and when the presser foot presses downwards to the fabric position, the rotation angle of the motor is obtained; obtaining the fabric thickness according to the rotation angle; according to the thickness of the fabric, the driving current of the presser foot pressure required by the thickness of the fabric is calculated; and the current of the motor is regulated to drive current, so that the pressure of the presser foot can adapt to the fabric thickness. According to the presser foot pressure control method, cloth pressing pressure self-adaption of fabrics with different thicknesses is achieved, particularly when thick fabrics are replaced, pressure loss caused by the structure of the presser foot can be compensated, and therefore the pressure of the presser foot is adjusted to the cloth pressing stability capable of meeting the fabric thickness, and the fabric pressing stability is improved. The problem of unstable cloth pressing caused by pressure change of the presser foot due to fabric thickness difference is solved, and the adaptability of the electronic buttonholing machine to the fabric thickness change is greatly improved.

The filtering assembly comprises a frame, a cover body and a storage container, comb teeth which are arranged at intervals extend out of the inner side of the frame, a channel is formed between every two adjacent comb teeth, a large amount of water flow can quickly pass through the channel, hair can be intercepted under the action of the water flow and is gathered and wound on the comb teeth, and meanwhile the filtering assembly can be used for filtering the hair. The comb teeth form an opening in the middle of the frame, and the detachable cover body is matched, so that hair can be cleaned out from the comb teeth along the opening only by opening the cover body during cleaning. An inclination angle exists between the frame and the comb teeth, the through-flow sectional area can be increased, and an arch structure is formed between the comb teeth, so that acting force is dispersed to the comb teeth when the cover body is treaded by people, and plastic deformation caused by treading of a single comb tooth is avoided; the storage container is hung at the opening and is convenient to replace, the deodorization / dredging / aromatic substances in the container can be automatically brought out when water flows through the storage container, frequent replacement is not needed, and the storage container cannot be washed away by water like a traditional solid block.

The invention relates to a household rehabilitation training method and device based on a lower limb exoskeleton and a storage medium, and is applied to the technical field of rehabilitation training, and the method comprises the steps: obtaining multi-modal data, and unifying the multi-modal data (an electroencephalogram signal, a muscle signal and a foot pressure signal) into dynamic control input through a covariance matrix fusion algorithm; an exoskeleton assistance strategy is optimized in real time in combination with a reinforcement learning model (PPO algorithm); the user performs force application adjustment through biological feedback visual display of an electroencephalogram feature vector, a muscle feature vector and a foot pressure feature vector, the walking intention of the user is recognized through a personalized CNN model according to an electroencephalogram signal subjected to force application adjustment, and the user is assisted in walking through an exoskeleton assistance strategy; a closed loop for the patient to actively adjust the force is formed, and the nerve remodeling effect is enhanced.

The invention discloses a quantitative weight-reducing lower limb exoskeleton rehabilitation robot which comprises a moving frame and further comprises mounting plates symmetrically fixed to the moving frame. The lower limb exoskeleton assembly is mounted on the moving frame through the mounting plate. An exoskeleton weight reduction module integrates a plantar pressure sensor and an IMU (inertial measurement unit), a support phase / swing phase time sequence node is accurately judged through an improved gait phase recognition algorithm, an output force value of an electric push rod is dynamically adjusted through closed-loop control on the basis of a personalized weight reduction threshold value, and the weight reduction precision is improved. Quantitative output and real-time calibration of weight reduction are achieved, the technical bottleneck that existing equipment is poor in weight reduction precision is solved, the stress load of a fracture part is precisely reduced, secondary injury is avoided, and gait naturalness and coordination are optimized; meanwhile, the corresponding joint driving modules can be installed and activated as required according to the fracture part of the patient, the monitoring modules are flexibly arranged, and the equipment suitability and the training effectiveness are improved.

The invention discloses a wearable robot assistance parameter adjusting method and system based on a biomechanical model, relates to the field of wearable robots, and solves the problem that a current wearable robot cannot intelligently adjust an assistance torque and a damping coefficient. The method comprises the following steps: constructing a test single-step period standard deviation and a standard plantar pressure interval of legs of a wearer; according to the difference value, selecting an initial assistance torque and an initial damping coefficient when the current wearer uses the wearable robot; analyzing plantar pressure at different time nodes after the wearer uses the wearable robot to assist; whether the wearable robot needs to be adjusted or not is analyzed according to the actual plantar pressure and the actual single-step cycle standard deviation; according to the plantar pressure deviation rate and the single-step period deviation rate, the initial power assisting torque and the initial damping coefficient of the wearable robot are adjusted. According to the method, adaptive adjustment of the power assisting parameters of the wearable robot is achieved according to the plantar pressure deviation data and the single-step period deviation data.

Socks with in-built arch support are a new innovative technology aimed at addressing the common problem of foot discomfort and pain due to the lack of proper support in traditional socks. These socks are designed with strategically placed arch support pads that provide targeted support to the arch of the foot, promoting proper alignment and reducing strain on the feet. By incorporating arch support directly into the sock design, this new technology offers a practical and effective solution for individuals seeking relief from foot discomfort. The targeted arch support helps to stabilize the arch of the foot, create better form, reduce muscle fatigue, and improve overall foot health and comfort. Socks with inbuilt arch support provide a simple yet innovative way to enhance the functionality of everyday socks, making them an indispensable accessory for individuals seeking lasting relief from foot pain.

The utility model discloses an antiskid safety pedal which comprises a base, a shell is fixed at the top of the base, the shell is of a hollow cuboid structure, and a baffle is fixed at the top of the shell. Compared with the prior art, the linkage detection mechanism of the pedal mechanism is arranged, so that the effect of cooperative work of the pressure sensor and the travel switch is achieved, the synchronous triggering state of the double pedals is accurately detected, and the cheating behavior that the pedals on one side are pressed by foreign matter for a long time is effectively eradicated; by arranging a composite buffering structure of the hydraulic damper and the supporting spring, the effect of dynamically adjusting the resilience force of the pedal is achieved, and flexible feedback of foot pressure of an operator is achieved; by arranging the anti-skid column array with the sleeve, the multi-dimensional limiting and anti-skid effects are achieved, double locking of the pedal block in the vertical direction and the horizontal direction is achieved, and the stability and safety of equipment operation are comprehensively improved in cooperation with a protection boundary formed by the baffles.

The present invention discloses a smart sensing insole including a pressure sensing layer (for instance a pressure plate) which includes a configuration of longitudinal conductive lines and transverse conductive lines. The intersection of the longitudinal conductive lines and transverse conductive lines is used as a sensing point to measure the pressure and the distribution when the foot pressure changes. The area occupied by the sensing points is between 3-50% of the entire insole area. The sensing point position is configurated at pressure peak position, pressure center area, foot arch position.

The utility model discloses a foldable cruise pedal which comprises a fixed pedal used for being connected with a pedal support. The hinging piece is arranged on one side of the fixed pedal; the movable pedal is hinged with the fixed pedal through a hinge piece; and the locking mechanism is arranged on the other side of the fixed pedal and is used for fixing the fixed pedal and the movable pedal. The pedal has the advantages that the fixed pedal body and the movable pedal body are connected through the hinge piece, a user can turn over and fold the movable pedal body to the fixed pedal body, the movable pedal body is fixed through the locking mechanism, the treading area of the pedal is reduced, or when the user needs to increase the treading area of the pedal, the user can turn over and fold the movable pedal body to the fixed pedal body. The movable pedal can be unfolded to form a wide pedal with the fixed pedal, and the wide pedal is used in cooperation with an original vehicle pedal.