24 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 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.

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 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.

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 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 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.

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 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.

This invention discloses a method and system for intelligent land greening planning based on regional feature feedback, belonging to the field of greening planning technology. The method includes acquiring planning area information, spatially dividing the planning area into functional areas and greenable areas, and filtering greenable areas based on functional areas to obtain the land greening planning area. This invention provides a precise geographic data foundation for subsequent spatial division of planning areas through spatialization and standardization of regional data. By formulating standardized quantitative assignment rules and combining them with the analytic hierarchy process (AHP) to determine indicator weights, it achieves the standardized construction of functional evaluation indicators for grid units. Through functional adaptability, it achieves the quantification and precision of functional area division. By extracting the boundary coordinates of functional areas to construct dual baselines and completing terrain adaptation curvature processing based on regional topography, it achieves the scientific setting of the greening planning area expansion benchmark.

This invention proposes a method for evaluating the migration and invasion capabilities of lung cancer organoids, belonging to the technical field of in vitro functional evaluation of tumor organoids. This invention achieves decoupled evaluation of the migration and invasion capabilities of lung cancer organoids by establishing migration and invasion models. Images of the migration and invasion models are acquired before and after culture, respectively, and a standardized area calculation method is used to define the main organoid region as the core area A. core Define the migrating / invading cell region as the migration / invasion area A. out Based on A out With A core The normalized migration index (MI) and invasion index (II) are calculated, and the net invasiveness index is obtained by decoupling the score BIS = II / (MI+). This method can stably obtain the migration and invasion evaluation results of lung cancer organoids under a unified quantitative standard, and can be used for lung cancer organoid invasiveness assessment, drug screening, and in vitro functional studies.

The invention discloses a drill rod thickened transition area quality detection method and system based on inner conical surface scanning, particularly relates to the technical field of precision measurement of complex inner surface geometrical morphology, and aims to solve the problem that in the prior art, accurate and comprehensive quality evaluation on a complex conical surface in a drill rod thickened transition area is difficult. A scanning device is placed in an inner hole of a drill rod for scanning so as to obtain complete point cloud data of an inner conical surface; processing the point cloud data to generate an inner conical surface three-dimensional data set; calculating microscopic geometrical morphological characteristics based on the data set and dividing a plurality of function evaluation sub-regions according to the microscopic geometrical morphological characteristics; performing signal transformation analysis on the local three-dimensional shape data of each sub-region to obtain a signal domain feature data set; extracting a characteristic parameter set representing the surface quality state; comparing the parameter set of each sub-region with a preset reference, and comprehensively judging whether the quality is qualified or not; fine quantitative evaluation of the geometric quality of the inner conical surface of the drill rod is realized, and the pertinence and reliability of detection are improved.