34 results about "Functional evaluation" patented technology

The invention discloses an intracranial anterior artery circulation functional evaluation method and device, computer equipment and a storage medium, and relates to the field of vascular function evaluation, and the method comprises the steps: based on an intracranial angiography image and near-end pressure data, carrying out the five working processes of data input, blood vessel segmentation and segmentation, boundary condition calculation, hemodynamic simulation and functional parameter calculation; according to the method, functional parameters verified in the coronary artery field are migrated to intracranial blood vessel evaluation without additional equipment, the clinical problem that traditional morphological evaluation is not matched with functionality is solved, individualized function quantification is achieved by integrating blood vessel morphological characteristics and hemodynamic simulation, and the method is suitable for being applied to intracranial blood vessel evaluation. According to the method, an objective basis is provided for cerebrovascular disease diagnosis and treatment, the intracranial vascular disease is promoted to be converted from anatomy orientation to function orientation, the clinical decision accuracy is remarkably improved, popularization and application of functional evaluation in the field of neural intervention are accelerated, and construction of a cerebrovascular disease accurate diagnosis and treatment system is assisted.

The invention discloses a mountainous region and rural region function evaluation method based on space-time big data. The method comprises the following steps: 1) obtaining mountainous region and rural region function evaluation reference data; 2) carrying out fusion processing on the mountain country function evaluation reference data to obtain a country space basic geographic information graph; and 3) carrying out rural production-life-ecological space identification on the rural space basic geographic information graph, and then carrying out mountain rural function evaluation to obtain a rural multifunctional evaluation index. According to the mountain village function evaluation method based on the space-time big data, the multi-source geographic information of the village is analyzed based on the space-time big data, the data, technology and village development requirements can be deeply fused, and the scientificity and efficiency of village planning, management and decision making are remarkably improved. According to the invention, based on three functional indexes of rural space living, employment and communication, the rural multifunctional development is comprehensively evaluated, the actual condition of the rural can be comprehensively reflected, and the rural planning is guided, so that the rural revitalization is promoted.

The embodiment of the invention provides a dynamic evaluation method and device for the NVC function of a carotid artery stenosis crowd, a medium and a program product, and relates to the field of intelligent medical treatment. The method comprises the following steps: acquiring a resting middle cerebral artery average blood flow velocity Vm of a sample in a resting state and an exercise middle cerebral artery average blood flow velocity Vm of the sample in an exercise load state; according to the average blood flow velocity Vm of the middle cerebral artery during movement and the average blood flow velocity Vm of the middle cerebral artery during resting, a movement-induced blood flow response index EIFR is obtained through calculation; the motion-induced blood flow response index EIFR is an NVC parameter; and obtaining an evaluation result of whether the NVC function is abnormal or not according to whether the NVC parameter is reduced or not. On the basis of a quantifiable NVC function evaluation system in a constant motion state, objective screening standards are provided for stroke high-risk groups, a long-term follow-up visit plan is made, and an accurate quantitative basis is provided for clinical intervention decision and postoperative complication prediction.

The invention discloses a combined drive control method and system for a functional concrete processing cycle, and relates to the technical field of intelligent control, and the method comprises the steps: carrying out the multi-dimensional feature collection of raw materials of concrete, obtaining the feature information of the raw materials, and carrying out the screening analysis of a combined drive control database through taking the feature information as a constraint, thereby obtaining a control reference database; dividing a control reference database; analyzing functional requirements of the concrete, and determining a functional evaluation plan; performing optimization traversal on the reference library without the additives to obtain a first optimal control strategy, and performing optimization traversal on the reference library with the additives to obtain a second optimal control strategy; and comparing the first optimal control strategy with the second optimal control strategy to obtain a target control strategy, and performing combined drive control on the concrete. The technical problem that the processing control strategy cannot be intelligently matched according to the characteristics of the concrete raw materials in the prior art is solved, and the technical effects of accurate matching and functional control optimization of the concrete processing strategy are achieved.

To provide an information sharing system capable of tracking PICS information over a long period.SOLUTION: A PICS information sharing system according to the present invention includes a management server that manages PICS information, an ICU terminal, a general ward terminal, and an outpatient terminal, wherein the ICU terminal, the general ward terminal, and the outpatient terminal are connected to the management server via a network and view and update PICS information of a patient, the ICU terminal inputs function evaluation information when the patient leaves the ICU, and the management server registers the input function evaluation information as PICS information. A general ward terminal inputs function evaluation information when a patient leaves a general ward, a management server registers the input function evaluation information as PICS information, an outpatient terminal inputs function evaluation information when the patient receives medical care at an outpatient, and the management server registers the input function evaluation information as PICS information.SELECTED DRAWING: Figure 1

The invention provides a kidney blood vessel classification method, which is characterized in that the flow track, the average flow velocity and the flow direction information of each microbubble are extracted based on a two-dimensional ultrasound contrast image sequence, and the microbubble tracks are segmented and classified in combination with the flow velocity and the flow direction characteristics of blood vessel segments defined by a user; and finally reconstructing blood vessel images corresponding to different blood vessel segments. The method supports a user to set vascular segment categories and classification criteria according to physiological structures and blood flow characteristics of different areas, has high adaptability and interpretability, has the advantages of being easy and convenient to operate, clear in image visualization, high in structural discrimination degree and the like, and is suitable for non-invasive typing analysis and functional evaluation of kidney microvascular structures.

The invention discloses an intracranial posterior circulation vascular stenosis functional evaluation method and system, electronic equipment and a computer readable storage medium, and provides a vascular stenosis functional evaluation method based on bilateral blood flow conditions by fully considering the combined action of intracranial bilateral vertebral arteries on blood flow supply. The problem that in the prior art, only one side vertebral artery is considered to conduct vascular stenosis function evaluation, and the accuracy is low is solved, if only one side of the vertebral artery on the two sides of a patient has lesion, the compensation function of the opposite side healthy vertebral artery is neglected in the prior art, the influence of lesion on vascular function can be overestimated, and the vascular stenosis function evaluation accuracy is improved. According to the method, the bilateral vertebral arteries are coupled through the pressure drop constraint condition, and the intracranial posterior circulation vascular stenosis functional evaluation is comprehensively performed in combination with the condition of the basilar artery, so that the method is more accurate, and the output evaluation dimension is wider.

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

Systems and methods for controlled sympathectomy procedures for neuromodulation are disclosed. A system for controlled micro ablation procedures is disclosed. A guidewire including one or more sensors or electrodes for accessing and recording physiologic information from one or more anatomical sites within the parenchyma of an organ as part of a physiologic monitoring session, a diagnostic test, or a neuromodulation procedure is disclosed. A guidewire including one or more sensors and / or a means for energy delivery, for performing a neuromodulation procedure within a small vessel within a body is disclosed.

The invention provides a duodenum ablation system and method combined with three-dimensional reconstruction. The duodenum ablation system combined with three-dimensional reconstruction comprises a main control unit, a three-dimensional reconstruction module, an intelligent ablation planning module, a neurological function surveying and mapping module, an ablation execution device and a real-time monitoring and feedback control module, through an integrated intracavity electrical stimulation surveying and mapping technology, functional evaluation and mapping can be performed on nerve excitability of a target area before ablation, and a'nerve high-risk area 'is visually marked on a three-dimensional mucous membrane model. When the system performs automatic path planning, the areas can be actively avoided, or verified safe energy parameters are adopted in the areas, so that important intestinal nerve functions are protected to the greatest extent, and the risk of nerve injury related complications is reduced from the source. Therefore, the purposes of intelligent navigation, automatic planning, individualized self-adaptive control and functional nerve protection are achieved.

The invention belongs to the technical field of functional textile evaluation, and discloses a functional textile comprehensive evaluation method based on multi-index detection. By screening subjects, standardly controlling living habits, collecting multi-dimensional evaluation data in a preset period, judging data validity based on physiological stress indexes and analyzing and processing the effective multi-dimensional evaluation data to generate an evaluation result, integration and validity verification of the multi-dimensional data are realized, so that a more scientific and reliable functional evaluation result is provided.

The invention discloses a ballastless track structure type optimization method for a foundation large-deformation section in a tunnel, and relates to the field of railway track engineering, comprising the following steps: determining a foundation deformation load and train load mode borne by a ballastless track structure; constructing a multi-level evaluation system of the ballastless track structure; function evaluation objects are divided, and all feasible ballastless track structure scheme sets are generated through a combinatorial optimization algorithm; evaluating and sorting each function evaluation object in each scheme to obtain a standardized numerical value of each scheme under each secondary evaluation index; determining the weight of each first-level index and each second-level index in the evaluation system in combination with an analytic hierarchy process; and obtaining the comprehensive adaptation degree score of each scheme through the comprehensive adaptation degree calculation model, and selecting the scheme with the highest score as the optimal ballastless track structure type. According to the method, the comprehensiveness and the accuracy of ballastless track structure type selection are improved through a system generation scheme, refined quantitative evaluation and a normalized decision process.

The utility model discloses a microwell plate for 3D (three-dimensional) culture and function evaluation test of primary cells, belongs to the technical field of microwell plates, and solves the problems that a plurality of tumor organs are different in size and are distributed on different planes due to the fact that the existing primary tumor organ cells are cultured in a plurality of culture dishes. The porous plate comprises a porous plate main body and a plurality of counter bores arranged on the porous plate main body in an array; a plurality of sinking grooves are formed in the bottom face of each counter bore, and each sinking groove is in an inverted regular rectangular pyramid shape. A plurality of tumor organs which are consistent in size and are positioned on the same height plane can be cultured by the plurality of counter bores in the microplate main body, so that subsequent imaging detection and statistics are facilitated. The arrangement of the inverted rectangular pyramid-shaped sinking groove enables primary tumor organoid cells to be uniformly gathered to the bottom of the sinking groove, formation of a more consistent organoid is facilitated, and the rectangular pyramid-shaped sinking groove can guide the organoid or cells to be concentrated at a specific position, so that improvement of imaging consistency is facilitated.

The application belongs to the field of food biotechnology, and discloses application of a folic acid determination culture medium in in-vitro function evaluation of folic acid; intestinal flora or fecal suspension liquid containing intestinal flora is added into the folic acid determination culture medium, and then reduced folic acid or non-reduced folic acid to be measured is added, so that the regulation function of reduced folic acid and non-reduced folic acid on intestinal flora is determined. The application also simultaneously provides a method for establishing an in-vitro intestinal simulation system lacking folic acid and a method for measuring regulation effects of different types of folic acid on human intestinal flora. The application develops a new use of the folic acid determination culture medium, and uses the culture medium to replace an existing in-vitro intestinal simulation culture medium, so as to establish an in-vitro intestinal simulation system lacking folic acid (a folic acid deficiency model).

The invention provides a health / exercise management system, which is characterized in that the system is applied to cerebrovascular disease supervision, and comprises a health management module used for collecting and recording health information, comparing the health information with a preset diagnosis standard to obtain a comparison result, and outputting a corresponding prompt according to the comparison result; the health management module is also used for collecting related scale questionnaires and recording health conditions according to the related scale and the questionnaires; the health management module is also used for receiving the recorded related diagnosis and treatment results of the cerebrovascular diseases and managing the recorded related diagnosis and treatment results; and the exercise management module is used for carrying out score evaluation on facial paralysis and upper limb and lower limb exercises according to the exercise video to be evaluated, and obtaining a detection result according to the score evaluation. Recording and feedback can be combined, and the universality from health recording to secondary prevention and the compatibility from health follow-up visit to function evaluation are met. User motion function self-test is realized, and user health self-test is facilitated.

The application provides a health / sports management system characterized in application to cerebrovascular disease supervision, comprising: a health management module for collecting and recording health information, comparing the health information with preset diagnostic criteria to obtain a comparison result, and outputting a corresponding prompt according to the comparison result; the health management module is also used for collecting relevant scale questionnaires and recording health conditions according to the relevant scale and questionnaires; the health management module is also used for receiving and managing admitted cerebrovascular disease diagnosis and treatment results; a sports management module is used for scoring and evaluating facial paralysis, upper limb and lower limb movement according to a to-be-evaluated sports video, and obtaining a detection result according to the scoring and evaluation. The system can realize the combination of recording and feedback, meet the universality from health recording to secondary prevention and the compatibility from health follow-up to functional evaluation, realize user self-testing of sports functions, and facilitate user health self-checking.

The present application relates to the technical field of blood vessel image processing, and particularly relates to a coronary artery stenosis functional evaluation method based on angiography imageomics. According to the characteristic quantitative value of the stenosis degree of each patient in the multi-dimensional image performance characteristics, the stenosis grade of each patient is obtained. According to the distribution of the characteristic quantitative value of the patient in different image performance characteristics in different stenosis grades, the key possibility of the current patient in each image performance characteristic is obtained, and the image performance key characteristics are screened out. According to the distribution of the characteristic quantitative value of each image performance key characteristic of different patients in the stenosis grade where the current patient is located, the coronary artery quality contribution degree of each image performance key characteristic in the stenosis grade where the current patient is located is obtained. The coronary artery stenosis evaluation score of the stenosis grade where the current patient is located is obtained. The present application can accurately obtain the coronary artery stenosis evaluation score of the stenosis grade where the current patient is located, and improve the accuracy of the stenosis functional evaluation.

A functional evaluation system of hippocampus that includes: an acquisition unit that acquires image data representing a hippocampus of a subject; and an identification unit that identifies volume data representing a volume of a left hippocampal-amygdaloid transition area of the subject, in accordance with the image data.

The invention relates to the technical field of buildings, in particular to a method and device for quickly evaluating the post-earthquake function failure probability of a medical building. The medical building post-earthquake function failure probability rapid evaluation method comprises the steps of obtaining earthquake motion characteristic parameters of a target medical building; inputting the seismic oscillation characteristic parameters into the trained function evaluation model to obtain the post-earthquake function failure probability of the target medical building output by the function evaluation model; wherein the function evaluation model is obtained by training seismic oscillation sample characteristic parameters marked with post-earthquake function failure probabilities of corresponding samples. According to the medical building post-earthquake function failure probability rapid evaluation method and evaluation device provided by the invention, when the post-earthquake function failure probability of the target medical building is evaluated, the evaluation efficiency of the anti-earthquake performance of the target medical building and the post-earthquake decision-making efficiency can be greatly improved.

The invention discloses a preparation method of a humanized anti-SIGLEC15 monoclonal antibody targeting a solid tumor. The preparation method comprises the following steps: preparing an SIGLEC15 monoclonal antibody; the method comprises the following steps: 1, modeling an antibody structure, and carrying out structure optimization and energy minimization on a murine antibody structure; 2, determining the CDR range of the optimized antibody; 3, selecting a humanized template; 4, carrying out humanized transformation; and 5, carrying out functional evaluation and screening on the humanized antibody, so as to obtain the humanized anti-SIGLEC15 monoclonal antibody of the targeted solid tumor. The method provided by the invention has the advantages of high yield, high purity, high design efficiency and high success rate, and the process is accompanied with more complex and fine molecular biological operation.

The application provides a method for detecting mesenchymal stem cells (MSCs) of different tissue sources, generations and culture conditions based on single-cell sequencing, and belongs to the technical field of stem cells. The single-cell transcriptional atlas of MSCs is detected by single-cell sequencing technology, the functional gene expression level is obtained through bioinformatics analysis, and the enrichment items are obtained through GO and KEGG analysis. In addition, the functional evaluation model of MSCs is created based on the OCLR algorithm to obtain the functional score. The heterogeneity of MSCs in different groups is obtained by combining the three indexes. The method provided by the application can detect MSCs from multiple different classification perspectives, and has the characteristics of comprehensive detection, high efficiency, high accuracy of results, strong readability and the like.

The invention relates to a health degree evaluation method and device of a hydraulic system and a vehicle, and relates to the technical field of vehicles, in particular to the technical field of vehicle health evaluation.The method comprises the steps that health degree evaluation types of parts are determined according to element types, maintenance information and failure modes of the parts in the hydraulic system of the vehicle; the maintenance information represents whether the part is a maintenance-free component or not; for the parts of all health degree assessment types, health indexes of the parts are determined based on the operation parameter information of the parts; wherein the operation parameter information is associated with the health degree evaluation type; and determining the health degree of the hydraulic system according to the health index of each part and the functional evaluation index of the hydraulic system. According to the method, health assessment is performed on each part in a targeted manner, and comprehensive and accurate health degree assessment is performed on the hydraulic system by further combining functional assessment indexes of the hydraulic system.

This application relates to a performance evaluation system for a turbine speed control system oriented towards uncertainty handling, including an uncertainty source quantification module, a functional evaluation module, a hardware evaluation module, a comprehensive evaluation module, and a result output module. The uncertainty source quantification module is used to identify three types of uncertainty sources in the operation of the turbine speed control system: data noise, operating condition fluctuations, and fault determination ambiguity, and quantify their impact. The functional evaluation module and the hardware evaluation module respectively conduct evaluations with uncertainty correction on the functional execution effect and hardware equipment status of the speed control system. The comprehensive evaluation module integrates the evaluation results of the two modules and dynamically allocates weights. The result output module outputs evaluation conclusions containing credibility and uncertainty source tracing. This application provides scientific support for preventive maintenance and accurate fault location of turbine speed control systems, effectively improves the robustness and engineering adaptability of evaluation results, and ensures the stable operation of the speed control system under complex operating conditions.

The invention discloses a heart ultrasound image automatic analysis and function evaluation system based on deep learning, and relates to the field of medical image recognition, and the system comprises a preprocessing module which is used for carrying out the noise suppression and detail enhancement of an original heart dynamic ultrasound sequence through a deep learning network, and generating a standardized sequence image; the sensing module is used for receiving the standardized sequence image, positioning a heart key structure in the image based on a deep feature learning network and extracting space coordinates and morphological parameters of the heart key structure so as to form an anatomical structure feature data set; through a deeply optimized image processing mechanism, ultrasonic sequence noise is effectively inhibited, myocardial details are enhanced, the image standardization quality is improved, the dynamic change of a heart key structure can be accurately captured, the extracted space coordinates and morphological parameters better fit anatomical features, and a precise foundation is laid for functional evaluation.

The present application relates to the technical field of intelligent manufacturing and remanufacturing based on digital twinning, in particular to a kind of iron fitting modeling system based on digital twinning, comprising: data acquisition module, for obtaining the design specification geometric value corresponding to key geometric feature, design tolerance and functional importance weight;Deviation quantification module is used to determine the total deviation index representing the degree of geometric deviation;Correction value calculation module is used to calculate the final correction geometric value;Model generation module is used to generate idealized digital twinning model;Closed-loop verification module is used to output manufacturing data package or artificial alarm, the present application converts pure geometric measurement problem into functional evaluation problem closely coupled with design intent and functional requirement, realizes the objective, scientific quantitative evaluation to physical entity function compliance degree.

The present invention provides a method and system for evaluating the post-earthquake function of a hospital campus taking into account the coupling of building functions, relating to the field of building technology. An embodiment of the present invention establishes a discrete event simulation model for evaluating the post-earthquake function of a hospital campus, and uses the waiting time of patients when entering departments involved in corresponding processes as an evaluation basis to intuitively display the evaluation results. Through vulnerability analysis and a fault tree model, the resource changes of typical departments are determined, and the post-earthquake function evaluation of the hospital campus is decomposed into the determination of post-earthquake damage to components in typical departments. This provides an important means for evaluating the post-earthquake function of the hospital campus, and is of great significance to the design, renovation and improvement of the seismic resilience of the hospital campus.

The invention relates to the field of medical artificial intelligence, and provides a knee osteoarthritis progress prediction system and method based on multi-modal data fusion. Comprising a data acquisition and preprocessing module, an X-ray film feature extraction module based on differential geometry, a discriminant feature guide module, a feature interaction aggregation module, a multi-modal data fusion module, an OA progress prediction module and a result evaluation and visualization module, and is characterized in that a knee joint X-ray film feature space is modeled into a Riemannian manifold; the method comprises the following steps of: extracting local details and global structure characteristics by adopting a ResNet and Swinin-Transform double-trunk structure; the key anatomical structure discrimination capability is enhanced through geodesic flux calculation of a discrimination feature guide module; according to the method, demographic data, clinical function evaluation data and X-ray film features are integrated, an OA progress prediction model is constructed, and the OA progress prediction accuracy rate reaches 91%.

The application relates to a cognitive dysfunction evaluation method and system based on multi-edge state detection calculation, which can evaluate the cognition of a patient by using two scales, simultaneously determines the FAST score-T (FAST) of the patient in the current treatment stage by using the FAST scale, determines the calculation coefficients of the two scales according to T (FAST) by a background, combines the functional evaluation staging evaluation value of the current patient, sets the calculation coefficients alpha and beta of the two scales respectively, so that when the cognition of the patient is evaluated by using the two scales, the functional evaluation staging is used as an evaluation factor of the cognitive function and participates in the calculation, the calculation result is guided by the feedback of the functional evaluation staging, the result is related to the real-time state of the patient, the evaluation value of the patient in different clinical treatment stages is reflected, and the clinical treatment is not deviated.

The application discloses a kind of functional concrete processing cycle's linked drive control method, system, it is related to intelligent control technical field, including: the raw material of concrete is multidimensional feature collection, obtains raw material characteristic information, to this as constraint to linked drive control database is filtered and analyzed to obtain control reference database;Divide control reference database;Analysis of the functional requirements of concrete, and determine functional evaluation plan;Optimization traversal is carried out to the no additional agent reference library, to obtain the first optimal control strategy, optimization traversal is carried out to the additional agent reference library, to obtain the second optimal control strategy;Comparison first optimal control strategy and second optimal control strategy obtains target control strategy, and carries out linked drive control to concrete.The application solves the technical problem that existing technology cannot intelligently match processing control strategy according to the characteristics of concrete raw materials, achieves the technical effect of realizing the accurate matching of concrete processing strategy and functional control optimization.

The present application relates to a method, device and vehicle for evaluating the health of a hydraulic system, and relates to the field of vehicle technology, particularly the field of vehicle health evaluation technology. The method includes: determining the health evaluation type of a component in a vehicle's hydraulic system based on its component type, maintenance information and failure mode; the maintenance information characterizes whether the component is a maintenance-free component; for components of each health evaluation type, determining the health index of the component based on the component's operating parameter information; wherein the operating parameter information is associated with the health evaluation type; and determining the health of the hydraulic system based on the health index of each component and the functional evaluation index of the hydraulic system. Targeted health evaluation of each component is achieved, and further, combined with the functional evaluation index of the hydraulic system, a comprehensive and accurate health evaluation of the hydraulic system is performed.