118 results about "Biomechanical testing" patented technology

The embodiment of the invention relates to the technical field of man-machine interaction, and discloses a joint data feedback method and device based on a flexible sensor, a medium and a product. The method comprises the following steps: determining a time sequence calibration feature set according to a multi-source synchronization signal of a flexible sensor array; according to the time sequence calibration feature set, determining a joint function evaluation result and an action classification result; in combination with the joint function evaluation result, according to the deviation between the action classification result and a preset biomechanical standard library, joint dynamic function deviation data are determined; determining a biomechanical feedback instruction of the wearable device according to the joint dynamic function deviation data; wherein the biomechanical feedback instruction is matched with the functional state corresponding to the joint function evaluation result, and the method and device can be at least used for solving the technical problems that in the related technology, joint functions and actions are not accurate in recognition, and precise personalized control is difficult to achieve.

The invention relates to the technical field of biomechanical detection and automobile safety evaluation, and discloses an automobile collision dummy abdomen safety test device and method. The testing device comprises a human body feature modeling module which is used for establishing a target population abdomen parameterized model based on statistical analysis, determining a key size design domain covering target population percentile and constructing a target population metrology database; the abdominal mechanical property simulation module is used for obtaining a human tissue relative density distribution function based on the hyperelastic constitutive model, taking the density distribution function as an input parameter for manufacturing a gradient honeycomb structure and simulating human abdominal mechanical properties through relative density gradient distribution in the thickness direction; the multi-mode sensor integration module adopts a distributed intelligent sensing network architecture and is composed of a sensing layer, a transmission layer and a processing layer. By integrating pressure, deformation, acceleration and tissue stress sensors and combining a real-time feedback algorithm, collision parameters are dynamically optimized, and the test precision and the biological fidelity are improved.

Systems and methods are disclosed for generating and providing guided practices and coaching feedback (e.g., illustrated in 3D images, video, or audio) that allow users performing sports activities to follow along to improve their physical movements in a digital environment. The feedback may be provided with a 3D avatar using a biomechanical analysis of observed actions with a focus on representing actions through computer-generated 3D avatars. Physical quantities of biomechanical actions can be measured from the observations, and the system can analyze these values, compare them to watchlist values, animate the 3D avatar based on the measurements, and display the 3D avatar on a computer-generated user interface.

A system for acquiring, standardizing and evaluating biomechanical kinematics data of a joint includes a device for acquiring biomechanical kinematics of the joint and processing it in a computer-readable manner. A display device displays visual output to a user. A control unit processes the kinematics and determines a progression of kinematics parameters of the joint with respect to a first joint element with a first joint coordinate system and with respect to a second joint element with a second joint coordinate system. A standardization unit determines, via a predetermined target optimization, a transformation for adjusting an orientation and / or position of the first and / or second joint coordinate system to carry out a standardization, and output an evaluation via the display device. A method is used to acquire, standardize and evaluate biomechanical kinematics data of a joint, and can be executed by a computer with a computer-readable storage medium.

The invention discloses a falling risk assessment method and system based on a plantar pressure insole, equipment and a medium, and the method comprises the steps: obtaining plantar pressure data of a subject synchronously collected in a standardized TUG test process, and obtaining a clinical scale assessment result of the subject; the method comprises the following steps: preprocessing plantar pressure data of a subject, and extracting plantar pressure features and TUG time features; associating the extracted feature vector with a tumble risk tag evaluated by a subject scale, and constructing a data set with a tag; training a machine learning classification model by using the constructed data set; and inputting the feature vector of a to-be-evaluated subject into the trained classification model to obtain the fall risk level of the subject. According to the method, the falling risk can be objectively, quantitatively and comprehensively assessed in natural actions, clinical convenience and data scientificity are both achieved, TUG full-cycle biomechanical information can be completely captured in conventional environments such as communities and clinics, and a more accurate and interpretable assessment result is provided.

The invention discloses an athletic injury risk screening system based on motion capture and biomechanical analysis, and relates to the field of athletic injury risk screening, and the system comprises a standardization module which is used for establishing a grouping reference value database and a to-be-detected person exclusive file; the data acquisition module is used for acquiring three-dimensional action data of a person to be detected and preprocessing the data; the feature vector module is used for calculating joint feature parameter values of the moving joints in three moving planes based on an inverse dynamics method and constructing biomechanical feature vectors; the model construction module is used for constructing an athletic injury risk assessment model and outputting a comprehensive risk level and a specific risk mode label and probability; and the model training and verification module is used for performing staged training on the model and verifying the feasibility of the model. The method has the advantages that multi-modal biomechanical and kinematic data are fused, and accurate assessment of the sport injury risk and comprehensive identification of a specific risk mode are realized.

The invention relates to the technical field of medical imaging, in particular to a pelvic stability dynamic detection method and stress analysis system based on dynamic DR. The method comprises the steps that on the basis of sign information of a user, parameters of a three-dimensional infrared motion capture system, a force measuring table and a pressure sensor are adapted to obtain static CT or MRI image data of a pelvis of a patient, and then the pelvic stability dynamic detection method and stress analysis system are obtained; establishing a pelvis coordinate system and defining geometric features of key points; collecting to-be-detected data of a user in the load bearing state; preprocessing the collected user data, and reconstructing a three-dimensional pelvis model of the user; performing biomechanical analysis based on the reconstructed three-dimensional pelvis model of the user to generate a pelvis stability index; and according to the pelvic stability index, automatically generating a pelvic stability risk index, and outputting a clinical decision suggestion. The problems that a traditional pelvis detection method still depends on a static image, dynamic stress distribution and stability evaluation cannot be effectively quantified, and an evaluation result is not accurate enough are solved.

The invention relates to the technical field of biomechanics, in particular to an imitated physiological load loading device and system. The simulated physiological load loading device comprises a main frame body, a sample mounting frame, a loading piece and a plurality of loading mechanisms; the sample mounting frame is connected with the main frame body and is used for mounting a sample; the plurality of loading mechanisms are connected with the main frame body, and the loading piece is in transmission connection with all the loading mechanisms; wherein the loading part is used for moving relative to the main frame body under the driving action of one or more loading mechanisms, so as to apply one or more loads of compression, rolling and sliding to the sample in the sample mounting frame. According to the simulated physiological load loading device, the simulated physiological load applying of compression, rolling and sliding coupling can be realized, so that obvious deviation between experimental data and an in-vivo actual mechanical environment can be avoided.

The utility model discloses an oral biomechanics capsule type detector, which comprises a main body made of an elastic material and provided with a tooth stress area for receiving tooth occlusion and a tongue and lip stress area for receiving tongue pressing and / or lip furling pressure; the capsule type detection structure comprises a plurality of cavities which are formed in the main body and are communicated with one another and a pressure sensor used for measuring the pressure of an integral cavity formed by the plurality of cavities, and the tooth stress area and the tongue and lip stress area are each provided with at least one capsule type detection structure. The measuring device can be used for measuring tooth occlusal force, lip smoothing force and tongue force in the upper jaw jacking direction, has the characteristics of simple structure, safety, sanitation, high comfort level, reliability in measurement, convenience in operation, reusability after cleaning and the like, is beneficial to clinical evaluation and diagnosis, and provides an effective auxiliary means for oral rehabilitation and orthodontic treatment.

The invention provides a running test system, method and device based on artificial intelligence, and the system comprises a dynamic airflow sensing module, a sole biomechanics collection module, an electromyographic signal processing module, an AI cooperative calculation module, and a test result output module. The dynamic airflow sensing module is used for collecting environment wind speed, running relative speed and body posture angle and generating airflow related data, and the sole biomechanical collecting module is used for collecting sole peak pressure, contact time and contact angle and generating biomechanical data; the electromyographic signal processing module is used for collecting an electromyographic energy value and an electromyographic change rate and generating electromyographic data, and the AI cooperative calculation module is electrically connected with the dynamic airflow sensing module, the sole biomechanics collecting module and the electromyographic signal processing module. The running performance evaluation accuracy and the damage early warning timeliness can be improved.

A system is provided.SOLUTION: A system comprising: means for collecting performance data of an athlete; means for performing a biomechanical analysis to identify abnormal movements and loads; means for suggesting a personalized training program based on the analysis; and means for providing real-time advice and care to the athlete.SELECTED DRAWING: Figure 1

The present application relates to the technical field of medical data processing, in particular to a preoperative femoral head collapse risk prediction system based on biomechanical analysis, the execution steps of the system comprising: obtaining the pressure monitoring set and the marker position coordinates of each monitoring point in the necrotic area of the femoral head of a plurality of patient samples; determining the daily wear performance degree and the local potential risk degree of each patient sample according to the pressure monitoring set and the marker position coordinates; and performing data fusion analysis on the daily wear performance degree and the local potential risk degree of the same patient sample to determine the multi-dimensional comprehensive risk assessment value of each patient sample. By determining the multi-dimensional comprehensive risk assessment value, the present application ensures that the prediction model can make accurate judgments based on the mechanical function of the skeleton rather than just the appearance, thereby improving the prediction accuracy of the model.

A biomechanical testing system includes a reactor module, a storage unit and a pneumatic pressure source. The reactor module includes an upper board, a lower board, a positioning board disposed between and cooperating with the upper and lower boards to define an airtight space, a position-limiting member received in the airtight space, and at least one biological culture material positioned in the airtight space by the position-limiting member. The storage unit is adapted to supply a liquid to the airtight space. The pneumatic pressure source is controllable to supply gas to the storage unit so as to drive the liquid to flow from the storage unit into the airtight space and through the at least one biological culture material.

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.

The present application relates to a biomechanical detection device for disease diagnosis, comprising: a pressure measurement module for measuring a pressing force, the pressure measurement module comprising a pressure sensor, a sensing contact of the pressure sensor being in contact with a to-be-detected surface; the displacement measurement module is used for measuring the pressing displacement, the displacement measurement module comprises a displacement sensor, the displacement sensor comprises a measurement sliding block, and the measurement sliding block is matched with the sensing contact; when the biomechanical detection device is in a detection state, the sensing contact extends out of the measuring sliding block to press the to-be-detected surface, so that the to-be-detected surface is deformed, and meanwhile, the pressure value of the to-be-detected surface and the displacement of the sensor contact are obtained and measured. The invention further relates to a detection system. By pressing the detection device, the measurement sliding block moves relative to the sensing contact, the detection device can measure the pressure value of the surface to be measured and the displacement of the sensor contact at the same time, and the measurement result is accurate and reliable.

An in-vivo testing device is disclosed for dynamically measuring the mechanical properties of skin. The device includes a horizontal reciprocating tensile stress-strain detection unit configured to contact the skin surface and acquire displacement and tensile force data, wherein the detection unit comprises at least two contact heads. A driving unit, equipped with a motor capable of outputting reciprocating linear motion perpendicular to the skin surface, is provided to drive the contact heads. A reversing unit converts the perpendicular reciprocating linear motion into a horizontal reciprocating tensile motion of the contact heads relative to the skin surface. The reversing unit includes at least one right-angle reversing lever connecting the driving unit and the detection unit. The disclosed device enables reliable evaluation of the dynamic viscoelastic properties of skin in a non-destructive manner, thereby providing accurate and repeatable characterization of skin biomechanics under in-vivo conditions.

The present application relates to the technical field of biomechanical detection and automobile safety evaluation, and discloses a device and method for testing the abdomen safety of a car crash dummy. The testing device comprises a human feature modeling module, a parameterized model of the abdomen of a target population is established based on statistical analysis, a key size design domain covering the target population percentile is determined, and an anthropometry database of the target population is constructed; an abdomen mechanical property simulation module, a human tissue relative density distribution function is obtained based on a super-elastic constitutive model, the density distribution function is taken as an input parameter for manufacturing a gradient honeycomb structure, and the abdomen mechanical properties of the human body are simulated through the relative density gradient distribution in the thickness direction; and a multi-modal sensor integration module, a distributed intelligent sensing network architecture is adopted, and the multi-modal sensor integration module is composed of a perception layer, a transmission layer and a processing layer. Through integration of pressure, deformation, acceleration and tissue stress sensors, and in combination with a real-time feedback algorithm, collision parameters are dynamically optimized, and the testing precision and biological fidelity are improved.

The invention provides a pillow bearing performance test method and system, and relates to the technical field of pillow detection. Aiming at the problem that a test method in the prior art does not meet test requirements, the method comprises the following steps: selecting a corresponding standardized human body model according to a to-be-tested pillow type target population, and arranging pressure sensing devices at key dissection test points; according to the biomechanical characteristics of the human body, carrying out structure correction on the key contact area of the standardized human body model; adjusting the corrected human body model to a preset sleep posture, and performing multi-degree-of-freedom posture compensation fine adjustment to enable the position relationship between the corrected human body model and the pillow sample to be tested to meet a set reference; continuously collecting pressure related data of each test point; the same preset sleep posture is repeatedly tested for preset times, the collected pressure related data are analyzed and calculated, bearing performance quantitative indexes are obtained, and the quantitative indexes comprise the average pressure, the pressure peak value and the pressure gradient. The test method provided by the invention meets objective, repeatable and bionic quantitative test requirements.

A method of measuring at least one biomechanical property of a reproductive cellular structure is provided. The method includes illuminating the reproductive cellular structure with radiation; detecting at least a portion of radiation scattered from the illuminated reproductive cellular structure; analyzing a frequency spectrum of the detected scattered radiation to identify at least one Brillouin frequency shift in the frequency spectrum; and determining the at least one biomechanical property based on the Brillouin frequency shift. The method further includes determining a viability index of the reproductive cellular structure based on the at least one biomechanical property.

This invention provides a rapid prediction method for the mechanical response of carpal tunnel structures based on a surrogate model, belonging to the field of biomechanical analysis technology. The method includes: constructing a complete three-dimensional geometric model of the carpal tunnel structure and applying palmar tensile loads and harmonic excitation loads; generating multiple sets of material property parameter combinations through random sampling, and constructing static and dynamic training datasets by combining the corresponding static and dynamic displacement responses; training a PCE surrogate model based on the static training dataset, and training both the PCE surrogate model and the SVR surrogate model based on the dynamic training dataset; inputting the material property parameters of the carpal tunnel structure to be predicted into the corresponding trained surrogate models, and outputting the predicted static and dynamic displacement responses of the carpal tunnel structure. This method overcomes the shortcomings of low efficiency and high computational cost in traditional finite element analysis, significantly improving computational efficiency while maintaining prediction accuracy, providing a scientific basis for the assessment of carpal tunnel syndrome.

A computer-implemented method for recommending an item of equipment, which comprises: gathering sensed data from a sensor; processing the sensed data in accordance with a biomechanical protocol to determine at least one performance indicator associated with a subject's execution of the biomechanical protocol; and determining at least one recommended feature of an item of equipment based at least in part on the at least one performance indicator. Also, an equipment recommendation system with specific application to hockey, which comprises: a camera configured to produce images representative of execution of a hockey shot of a given type by a subject; an I / O interface; and a processor connected to the camera via the I / O interface and configured to extract parameters from the images and to output, via the I / O interface, a hockey stick recommendation for the subject that is based on the parameters and on the given type of hockey shot.

The invention provides a scoliosis biomechanical testing method, and belongs to the technical field of scoliosis testing, and the scoliosis biomechanical testing method comprises sheep spine bending and nail bar implantation. Sheep spine bending comprises the steps of cutting a sheep spine, fixing an end cover, connecting a translation tool and a clamping tool, driving a middle vertebral body of the sheep spine to move so as to bend the sheep spine, releasing an intervertebral disc with the maximum bending degree, filling denture powder for fixing, and turning segments above and below a lateral convex part of the sheep spine back to be vertical; nail and bar implanting comprises bone nail hole drilling, bone nail implanting and bar implanting. The sheep spine is selected to simulate the human spine, high similarity is achieved, human scoliosis is completely simulated through specific steps of bending and nail bar implantation, and biomechanical testing on human scoliosis is facilitated.

Various aspects of an object weight estimation system are described, to enable weight estimation of an object to be transferred from an object source (e.g., a human or an ambulatory robot) that holds the object using one or more arms. One technique includes: tracking an object to be transferred from the object source to a robot; identifying, from at least one image captured by the robot, a posture of the object source; identifying respective segments of the object source from the posture of the object source; determining an estimated weight of the object based on a center of gravity of the object source, as the center of gravity of the object source is calculated in real-time from a balance of the respective segments; and causing a responsive action with the robot, based on the estimated weight of the object.

The invention discloses a vibrating wire fusion strain tooth occlusal force measuring device and method, and belongs to the technical field of oral biomechanical testing. The device adopts a split structure and comprises a cover body, a shell, a measuring main body and a handle main body, the cover body and the shell are connected to form a shell and serve as a tooth stress surface; the measuring main body is accommodated in the shell, a first convex part of the measuring main body is provided with a string clamping device for fixing and tensioning the vibrating string, and a second convex part is provided with a strain gauge; the handle body is provided with a display module and a battery. Based on a vibrating wire sensing principle, a force value is obtained by measuring a vibrating wire tension change and an inherent frequency change caused by a bite force, compensation is carried out in combination with a strain gauge signal, and a result is directly displayed on a display module after calculation by a built-in circuit. The device has the advantages of strong anti-interference capability, high measurement precision, integration, convenience in cleaning and disinfection and simplicity and convenience in operation, and is suitable for clinical oral diagnosis and biomechanical research.

The invention particularly relates to a dynamic driving environment human physiological property and biomechanical test platform. The platform comprises a test board; the data monitoring machine is assembled on the right side of the test board; an electrocardiogram monitoring unit; a body temperature monitoring unit; a respiration monitoring unit; a blood pressure monitoring unit; a platform motion monitoring unit; the seat test unit is fixedly assembled at the upper end of the test bench; the vibration generating unit is assembled at the lower end of the test bench; the vibration generating unit comprises: a vibration generating unit; the two double-rotation vibrators are circumferentially and symmetrically assembled on the front side and the rear side of the lower end of the test bench; the four groups of elastic telescopic assemblies are fixedly assembled at four corners of the lower end of the test bench respectively; the elastic telescopic assembly comprises a first elastic part and a second elastic part, the sliding column is fixedly assembled at the lower end of the test bench; the sliding cylinder is assembled on the lower side of the sliding column; the mounting base is fixedly assembled at the lower end of the sliding cylinder; and the spring is fixedly assembled between the sliding column and the mounting base.

This invention discloses a method and system for adjusting assist parameters of wearable robots based on a biomechanical model, relating to the field of wearable robots. It addresses the current problem that wearable robots cannot intelligently adjust assist torque and damping coefficient. The method involves: constructing the standard deviation of the single-step cycle and the standard plantar pressure range for the wearer's legs; selecting the initial assist torque and initial damping coefficient when the wearer uses the wearable robot based on the difference values; analyzing the plantar pressure at different time points after the wearer uses the robot; analyzing whether the wearable robot needs adjustment based on the actual plantar pressure and the actual single-step cycle standard deviation; and adjusting the initial assist torque and initial damping coefficient of the wearable robot based on the plantar pressure deviation rate and the single-step cycle deviation rate. This invention achieves adaptive adjustment of the wearable robot's assist parameters based on plantar pressure deviation data and single-step cycle deviation data.

A reactor module includes a lower body, an upper body, a top cover and a culture vessel. The lower body defines and surrounds a bottom space that has an upper opening. The upper body is detachably connected atop the lower body. The top cover is disposed atop the upper body, and cooperatives with the upper body to define a receiving space that is disposed above the bottom space. The culture vessel is removably received in the receiving space, defines a culture reservoir, and includes a film member that is disposed under the culture reservoir, and that blocks the upper opening of the bottom space.

The invention provides an orthodontic device and orthodontic method based on self-adaptive orthodontic force of memory alloy, and relates to the technical field of tooth orthodonties.The orthodontic method comprises the following steps that Sp1, the dental form, periodontal tissue response curve and orthodontic force requirement of a patient are evaluated through digital scanning and biomechanics, a personalized dentition model is generated, and an evaluation result is formed; sp2, designing and preparing a memory alloy device according to an evaluation result of Sp1, setting a multi-phase-change temperature gradient, and performing surface ion implantation to optimize biocompatibility. According to the self-adaptive orthodontic force orthodontic method based on the memory alloy in the scheme, through innovative design and application of intelligent materials, the self-adaptive orthodontic force is obtained; multiple key problems in the existing orthodontic technology are effectively solved, and the accuracy, comfort and reliability of treatment are remarkably improved.

This invention relates to the field of visual monitoring technology and discloses a method and system for monitoring the safety status of nursing staff. The method includes: performing three-dimensional posture reconstruction on the monitoring video of the nursing staff to obtain skeletal posture imaging; performing pixel-level semantic segmentation on the monitoring video to obtain the nursing staff's wearing status data; conducting a compliance assessment on the skeletal posture imaging based on the nursing staff's standard operating procedure document to obtain the nursing staff's operational standardization score; performing kinematic analysis on the skeletal posture imaging to obtain the nursing staff's biomechanical load index; conducting a multi-dimensional risk assessment on the operational standardization score, wearing status data, and biomechanical load index to obtain a comprehensive safety assessment result for the nursing staff; and encapsulating the comprehensive safety assessment result into a decision to obtain a safety status report for the nursing staff. This invention can improve the efficiency of monitoring the safety status of nursing staff.

This invention discloses a method for optimizing and simulating dental implant design based on AI simulation technology, belonging to the field of artificial intelligence simulation technology in oral medicine. The method includes acquiring three-dimensional scans of the patient's oral cavity and jawbone images, fusing and reconstructing them to generate a personalized digital oral model. The model is then input into a pre-trained biomechanical simulation AI agent. This AI agent automatically explores within a solution space composed of multiple preset candidate implant models and combinations of implantation pose parameters. For each candidate scheme, dynamic mechanical load simulation is performed in the digital model, simulating stress distribution, bone interface micro-strain, and long-term stability indicators under different chewing conditions. Based on the simulation results, a multi-objective evaluation is performed to generate a comprehensive score. The scheme with the highest score is selected as the initial optimization design, and a surgical planning blueprint is generated. This invention achieves automated and intelligent optimization of implant surgery plans and quantitative prediction of biomechanical prognosis.