98 results about "Foot pressure" patented technology

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.

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.

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 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.

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 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 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.

The application discloses a kind of foot type foot pressure integrated machine, including base, camera support, pressure sensing sheet, data acquisition and analysis module, the upper surface of the base is provided with an installation groove, the installation groove is set in the middle position of the base, the camera support is provided with multiple, multiple camera support is set around the installation groove side, scanning camera is installed on the camera support, the pressure sensing sheet is set in the installation groove, the data acquisition and analysis module is set in the base, the pressure sensing sheet is connected with the data acquisition and analysis module, the scanning camera is used to scan foot type, the pressure sensing sheet is used to collect foot pressure data and transmit to data acquisition and analysis module.The foot type foot pressure integrated machine can simultaneously collect foot type, foot pressure, and can automatically adjust the height and position of camera support according to different sizes of foot type, improve the accuracy of shooting foot type.

1. Name of the product in this design: Foot pressure measuring device. 2. Purpose of this design: This design is used for the detection of plantar pressure. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. Design 1 is designated as the basic design.

The application provides a balance ability dynamic evaluation and fall prevention training method based on time sequence data, relates to the technical field of control theory, and comprises the following steps: collecting user foot pressure time sequence data and joint motion data synchronously, constructing a coupling correlation matrix of pressure center trajectory space shape features and joint coordination features, and extracting a defect feature vector; constructing a multi-objective optimization function, solving a Pareto optimal solution set, extracting balance defect sensitivity feature parameters, performing hierarchical quantitative evaluation, and generating a training demand evaluation report. The application can realize accurate evaluation of user balance ability and personalized training scheme design, and improve the pertinence and effectiveness of fall prevention.

The utility model relates to foot pressure sore prevention technical field, concretely is a simple foot pad of preventing foot pressure sore, including heel sponge cover, both sides of heel sponge cover front side all are fixedly connected with foot side foam pad, the bottom between heel sponge cover and foot side foam pad is fixedly connected with net bag, the heel sponge cover inner chamber places has the placement pad, the bottom of placement pad and net bag contact. The scheme uses the user to place the foot in the placement pad through the heel sponge cover in use, wherein the heel of user places on the placement pad, and the both sides of instep place in the inside of foot side foam pad, and the net bag is positioned to the placement pad and foot side foam pad, furthermore, the ankle of user corresponds the first air hole convenient observation, and the shrinkage fixation of the ankle of user is carried out through the cooperation of velcro and elastic cord, because the sole of user directly contacts with air, no longer is prevented foot pressure sore foot pad to be wrapped, prevents the problem that the air permeability is insufficient.

The utility model discloses a kind of human turntable for measuring foot pressure and body shape, it is related to testing equipment technical field, and wherein, human turntable for measuring foot pressure and body shape includes: base, rotating part and driving part installed in the base, the driving part can drive rotating part rotation, the rotating part is equipped with test area, and the test area is used for standing for tester;Pressure test component, installed in the test area, can obtain the pressure data of tester standing in test area, and the pressure test component can be electrically connected with the body shape test equipment.The technical scheme provided by the utility model can solve the problem of single function of existing human turntable.

The present application relates to the technical field of intelligent monitoring, in particular to an old people fall monitoring and early warning method and system based on multi-source information fusion, the system comprising a visual perception module, a wearable sensing module, a central processing unit and an early warning module. The method is as follows: collecting human posture video stream, human waist three-axis acceleration and three-axis angular velocity, foot pressure, heart rate and blood oxygen physiological data in the monitoring area; respectively analyzing visual posture information, inertial sensing and foot pressure data, and extracting key motion features; comprehensively analyzing the features of the three types of information sources, especially using the MediaPipe framework to efficiently analyze human posture, combining with wearable sensor data, adopting a multi-modal feature fusion strategy based on attention mechanism, improving the accuracy of multi-source information fusion, so as to accurately judge the stability of the current posture of the old people and the fall risk level, and timely trigger the early warning, improving the accuracy and safety of the monitoring.

This application provides a method and apparatus for determining the full-body posture of a human body. The method includes: first, acquiring head posture information, hand posture information, and foot pressure information of a target object in real time; then, inputting the head posture information, hand posture information, and foot pressure information into a deep learning model to obtain the full-body posture and full-body skeletal points of the target object. The deep learning model is trained by machine learning based at least on posture images obtained from a depth camera. By using a deep learning model obtained in advance based at least on depth camera data, the accuracy of the determined full-body posture and full-body skeletal points is ensured to be high. This ensures that accurate full-body posture and full-body skeletal points can be obtained using only head posture information, hand posture information, and foot pressure information, thus ensuring the high practicality of the full-body posture determination process and solving the problem in existing technologies where the full-body posture cannot be predicted simply and accurately.

This utility model discloses a sofa sewing presser foot mechanism that facilitates adjustment of presser foot pressure. This utility model relates to the technical field of sewing machine presser foot mechanisms. It includes: a presser foot plate; a lifting structure, the bottom of which is fixedly connected to the top of the presser foot plate; and an adjusting structure, the bottom of which is fixedly connected to the top of the lifting structure. The adjusting structure includes a protective shell, with a slide rail symmetrically slidably connected to the inner wall of the protective shell. The bottom of the slide rail is fixedly connected to the lifting structure. A lead screw is rotatably connected to the inner wall of the protective shell, and a slider is threadedly connected to the outer wall of the lead screw. Springs are symmetrically fixedly connected to the bottom of the sliders. A support rod is fixedly connected to the inner wall of the protective shell. The adjusting structure symmetrically arranges two sets of springs. Compared to traditional single-spring sewing machine presser feet, this design can meet the needs of sofa fabrics requiring higher presser foot pressure.

The utility model provides a bodybuilding auxiliary pedal, and belongs to the technical field of bodybuilding equipment. The treadmill solves the problems that most existing treadmills are simple in program and single in running speed and running mode, the gravity center of a sporter is prone to being unstable, and the sole bears large pressure. A fitness auxiliary pedal comprises an exercise platform, two self-adaptive walking modules are arranged on the exercise platform and correspond to the left foot and the right foot of a user respectively, each self-adaptive walking module comprises a magnetic field base, each magnetic field base is fixedly arranged on the exercise platform, and a sliding block, a first connecting rod, a second connecting rod and a pedal are sequentially arranged on each magnetic field base. The self-adaptive walking module is used for fitting a human body walking curve and maintaining user balance. The walking stick has the advantages that the walking stick conforms to a human body walking curve, the gravity center is always kept stable in the walking process, a user can maintain balance more easily, and foot pressure is effectively dispersed.

The invention relates to the technical field of plantar pressure detection, and discloses a plantar pressure detection-based multi-dimensional collaborative evaluation method and system, and the method comprises the steps: obtaining an original data flow which is transmitted by a pressure detection platform through a data collection interface and is synchronized through a timestamp, the original data stream comprises a pressure data frame sequence of the pressure sensor array; processing the original data stream to obtain a test data set of the tested user; and analyzing and processing the test data set to obtain a corresponding analysis result, and displaying the analysis result. According to the invention, a plurality of data sets are analyzed and processed to obtain corresponding analysis results, and the analysis results are displayed, so that the plantar pressure conditions of the tested user can be comprehensively evaluated from different dimensions. And the analysis results are displayed, so that the evaluation result is more intuitive and understandable, professional personnel can conveniently and quickly obtain key information, and then personalized intervention schemes and rehabilitation plans are formulated or targeted suggestions are provided for users.

The invention discloses a gait symmetry analysis and fall risk dynamic early warning method and system, and a medium, and belongs to the technical field of intelligent health monitoring. The method comprises the following steps: synchronously acquiring double-foot pressure time sequence data through a left foot pressure acquisition unit and a right foot pressure acquisition unit, and performing time synchronization and gait cycle segmentation; extracting multi-dimensional gait symmetry characteristics including time symmetry, pressure distribution symmetry and plantar pressure center symmetry; performing weighted fusion on the multi-dimensional features to calculate a gait asymmetry index; establishing a user personalized health baseline; and comparing the real-time gait asymmetry index with a baseline to calculate a standardized deviation degree, and triggering falling risk early warning by adopting a grading strategy in combination with time sequence trend analysis. Gait symmetry analysis is realized through bifoot pressure fusion, a personalized health baseline is established, long-term trend monitoring is performed, early dynamic early warning of the falling risk can be realized, and the method has the advantages of high early warning accuracy, high interpretability, low hardware cost and the like.

This invention relates to the field of medical safety protection equipment and discloses a medical shoe with an emergency alarm function, addressing the problems of existing shoe-mounted alarm systems being prone to false alarms under complex gait and missed alarms under weak emergency movements. The shoe includes a shoe body and a built-in processing module. By collecting foot pressure and movement state data, it determines whether the user is stationary. If not stationary, it calculates the ground hardness index and performs impact compensation on the pressure center trajectory. Subsequently, it extracts the action time window, calculates the trajectory fractal dimension, action consistency coupling characteristics, and macroscopic motion intensity characteristics. These characteristics are then normalized and weighted to form a discrimination index, which is compared with a dynamic decision threshold range. If the index exceeds the threshold, it is determined to be a valid alarm action, and an alarm command is output simultaneously. This invention improves alarm accuracy and concealment, making it suitable for medical personnel to quickly and discreetly seek help when facing threats.

1. The name of the design product: gait parameter wireless acquisition module. 2. The use of the design product: used in shoes to collect foot pressure and gait parameters and transmit them to the cloud. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view.

The invention provides a gait parameter extraction method based on a recurrent neural network in combination with a foot pressure sensor. The gait parameter extraction method comprises the following steps: acquiring a walking video of a subject; inputting the walking video into a human body key point detection model to obtain a human body key point feature vector sequence; acquiring plantar pressure data of the subject; determining a time point of at least one gait event according to the plantar pressure data; gait parameters are obtained according to the time point of the gait event and / or the human body key point feature vector sequence. The gait parameter extraction method based on the recurrent neural network in combination with the foot pressure sensor is convenient to operate, low in cost and high in precision.