56 results about "Heart structure" patented technology

The invention discloses a hypertensive heart disease early screening system fusing ultrasonic multiple parameters, which comprises the following steps: acquiring ultrasonic image data and physiological index monitoring parameters of a patient at different time points, performing difference comparison on heart structure parameters to generate time sequence change data, and establishing a multi-dimensional data fusion scheme based on the time sequence change data and physiological indexes; according to the fusion scheme, acute risk trigger factors are identified, blood flow abnormal parameters are generated, and emergency threshold comparison is carried out to generate acute risk early warning signals; extracting a myocardial strain degradation rate to determine a chronic degradation acceleration time point, carrying out disease progress stage association to generate a chronic risk layering curve, and establishing a clinical index comparison table; carrying out double-layer correlation on the acute risk early warning signal and the chronic risk layering curve, and carrying out calibration judgment to generate a comprehensive risk judgment sequence; the sequence is decomposed into an acute judgment layer and a chronic judgment layer, a risk threshold value is configured to generate an instant early warning signal, a layered screening report is formed, and technical support is provided for early discovery of the hypertensive heart disease.

The invention provides a left heart data analysis method and system based on image segmentation, and relates to the technical field of medical image processing. Comprising the following steps: acquiring cardiac ultrasound image data and preprocessing; performing image segmentation on the preprocessed image data to obtain a segmentation result including a left ventricle, a left ventricular wall and a left atrium; searching a boundary line of the left ventricle and the left atrium, selecting two boundary points corresponding to the minimum and maximum abscissas in the boundary line as left and right mitral valve ring points respectively, and establishing a long axis based on the mitral valve ring midpoint and the cardiac apex point; modeling the ventricle into a structure formed by superposing a plurality of discs along the long axis direction, and obtaining the diameter of the corresponding disc; based on the obtained diameters of the corresponding discs, the left ventricular volumes in the diastolic period and the systolic period are calculated respectively, and the left ventricular ejection fraction is calculated. According to the method, image segmentation and geometric modeling are fused to achieve accurate calculation of the cardiac ejection fraction, meanwhile, the accuracy of cardiac structure image segmentation is improved, and an interpretable ejection fraction estimation process is achieved.

The invention relates to a myocardial resection area determination method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a heart scanning image, and determining a heart three-dimensional model according to the heart scanning image; determining a heart short-axis section and a heart long-axis section according to the heart three-dimensional model; the clock direction angle of the scalpel is determined on the short axis section of the heart; based on the clock direction angle, the excision depth of the scalpel is determined on the long-axis section of the heart; and performing myocardial resection on the heart three-dimensional model according to the clock direction angle and the resection depth through a scalpel model, determining an updated three-dimensional model after myocardial resection, and marking a resection area on the updated three-dimensional model. According to the scheme, accurate preoperative planning guidance and comprehensive heart structure information presentation are provided for the myocardial rotary cutting operation, and therefore the accuracy and safety of the myocardial rotary cutting operation are improved.

The embodiment of the invention relates to the field of multivariable data processing, in particular to a processing method and a processing system for multi-dimensional cardiac structure function data. According to the method, the data of the dynamic electrocardiogram, the photoplethysmography and the seismocardiogram are subjected to noise reduction processing through the feedforward neural network, the data of the dynamic electrocardiogram, the photoplethysmography and the seismocardiogram after noise reduction are obtained, and the credibility of the data is higher; fusing the dynamic electrocardiogram, the photoplethysmography and the seismocardiogram of different time sequence segments, and determining characteristic parameters; combining and splicing the respectively determined characteristic parameters according to a time sequence to obtain a multi-parameter matrix; and processing the multi-parameter matrix by using a multi-modal fusion network to obtain a processed multi-dimensional vector, mutually correcting a plurality of parameters through processing, and splicing the plurality of parameters to obtain a multi-dimensional vector to obtain a high-credibility parameter which better conforms to a real physiological law.

The invention relates to the technical field of medical image processing and deep learning crossing, and discloses a congenital heart disease whole heart segmentation method based on text guidance. According to the method, based on a U-Net architecture, a text-image alignment module is added between different levels of jump connections, and semantic information in report texts and CT image features are subjected to feature semantic alignment and fusion layer by layer; a multi-scale image feature fusion module is added between adjacent levels of the encoder, and the feature extraction capability of the encoder on each substructure is improved through mask adaptive fusion weight; a text-driven multi-level segmentation supervision module is added to a decoder part, and a segmentation result is guided and optimized by using semantic features, so that a constructed deep learning network effectively understands heterogeneity features of a congenital heart disease structure, and the structure distinguishing capability of a fuzzy boundary is enhanced; automatic segmentation of the congenital heart disease whole heart structure can be achieved, and effectiveness and accuracy of congenital heart disease whole heart segmentation are improved.

The invention discloses a heart CT image segmentation method and system based on ultrasonic guidance, and relates to the field of image processing, and the method comprises an uploading module which is used for uploading a heart CT original image and an ultrasonic image of a corresponding part, and synchronously building the spatial position correlation mapping of the heart CT original image and the ultrasonic image; the preparation module is used for performing denoising and gray normalization processing on the heart CT original image and the ultrasonic image respectively, and completing spatial alignment of the two types of images based on spatial position correlation mapping; according to the method, spatial position correlation mapping of the heart CT and the ultrasonic image is established, denoising and gray level normalization processing of the two types of images are combined, the image quality and the spatial alignment precision are effectively improved, CT segmentation interested areas are positioned by means of heart structure features extracted by the ultrasonic image, interference of irrelevant areas is avoided, and the accuracy of CT segmentation is improved. And during segmentation, image texture, gray gradient and structure edge features are fused, and accurate pixel-level segmentation of the heart target anatomical structure is realized.

A stabilizer sleeve is disclosed for use with cardiac implantable electronic device leads. The sleeve comprises a tubular body sized to receive the lead and shaped to bias the lead toward a desired anatomical location, thereby reducing migration, dislodgement, and interference with cardiac structures. The sleeve may be introduced with the lead as a unitary assembly or added after lead placement. Various embodiments include a slitted body for expansion, radiopaque markers for visualization, detachable nose-cone tips for guidewire tracking, and antimicrobial coatings. The sleeve may be formed of polymers, alloys, or composite materials, and may include features such as texturing or anchoring projections for tissue engagement. Applications include positioning within a tricuspid valve commissure to minimize regurgitation and stabilizing left ventricular leads within branches of the coronary sinus. The device and methods described provide improved long-term stability and performance of implanted cardiac leads.

The present invention belongs to the technical field of pulsed electric field ablation for hypertrophic cardiomyopathy, and specifically relates to a pulsed electric field ablation device for hypertrophic cardiomyopathy. The device comprises a pulse generator (1). A flexible catheter (2) is fixedly mounted on one side of the pulse generator (1), and a slidably connected sliding member (3) is arranged on the outer surface of the flexible catheter (2). By means of the arrangement of an auxiliary ablation assembly (6), a real-time three-dimensional echocardiography can be generated during the ablation process, and a relatively clear cardiac structure image can be provided for a doctor by means of the three-dimensional echocardiography, such that the doctor can better determine the region of hypertrophied myocardium. Moreover, data analysis is performed on the hearts of a large number of patients by means of artificial intelligence and a machine learning algorithm inside a high-speed analog-to-digital converter to generate a personalized cardiac model, so as to assist the doctor in accurate positioning, thereby reducing the number of times of adjusting the position of a PFAD electrode catheter, shortening the time required by the doctor during surgery, and reducing the difficulty of surgery treatment.

This invention relates to the field of congenital heart disease treatment technology, and discloses the application of sapropterin in the prevention and treatment of bisphenol fluorene-induced congenital heart disease in fetuses. The congenital heart disease includes cardiac structural defects, heart failure, or cardiomyocyte lesions, specifically selected from ventricular septal defects, atrial septal defects, tetralogy of Fallot, myocardial hypertrophy, decreased cardiac ejection fraction, decreased short-axis contraction rate, cardiomyocyte ferroptosis, myocardial tissue inflammatory infiltration, or myocardial collagen fibrosis. Sapropterin is used as a direct supplement to biological tetrahydropterin (BH4). Through exogenous intervention, it precisely reverses the endogenous BH4 deficiency caused by bisphenol fluorene exposure, restores the expression of GTP cyclase 1 (GCH1) and the dynamic balance of RNA m6A, and upregulates the level of YTH domain family protein 2 (YTHDF2), thereby blocking ferroptosis signal transduction, reducing oxidative stress and inflammatory response, and inhibiting the process of myocardial tissue fibrosis at the molecular level.

A myocardial injury condition detection system based on image characteristics. The system comprises an image acquisition module, a feature extraction module, a data processing module and a report generation module, wherein the image acquisition module is used for acquiring high-resolution cardiac image data information; the feature extraction module is used for extracting, from the acquired image data information, feature information related to the cardiac structure and function; the data processing module is used for analyzing the extracted feature information, so as to identify myocardial-injury-related conditions; and the report generation module is used for generating a medical report of the myocardial-injury-related conditions for a doctor. By means of comprehensively analyzing cardiac image data information of a patient, a more comprehensive and accurate assessment of myocardial injury conditions is provided, thereby improving the accuracy and effectiveness of medical diagnosis.

The utility model relates to the technical field of three-sequence mixed wire clamps, in particular to a pre-centering structure and a three-sequence mixed wire clamp, which comprises a base plate, a fan-shaped clamping plate is slidably connected onto the surface of the base plate, a first clamping position and a second clamping position are arranged on the fan-shaped clamping plate, a push plate is movably inserted into the base plate, a sliding block is fixed on the fan-shaped clamping plate, and a first clamping groove and a second clamping groove are formed in the sliding block. An inclined sliding block is fixed to the sliding block, an inclined sliding groove is formed in the push plate, and the inclined sliding block is movably inserted into the inclined sliding groove. The hub pre-centering structure has the beneficial effects that each group of sliding blocks drive each group of fan-shaped clamping plates to move in the direction close to the center line of the base plate, so that a hub is clamped in a first clamping position or a second clamping position and pre-centering of the hub is completed, and the pre-centering structure and the three-sequence mixed line clamp can adapt to pre-centering clamping of hubs of various specifications; and in the process of mixed line machining of hubs of various specifications, the machining efficiency is greatly improved.

This invention relates to the field of medical image reconstruction technology, specifically to a method for reconstructing low-dose CT images of patients with coronary artery disease based on image enhancement. The method includes: acquiring multi-angle raw projection data of low-dose CT images from patients with coronary artery disease; performing statistical noise modeling and signal recovery on the projection data to obtain denoised projection data; generating an initial coronary CT image sequence through an iterative reconstruction algorithm; extracting cardiac structures and completing region segmentation to obtain labeled images; performing region-specific differential image enhancement based on the labeled images; enhancing vessel wall details and extracting calcified plaque features; combining edge-preserving noise suppression with post-optimization; and outputting high-quality low-dose CT reconstructed images. This method effectively improves the noise artifact problem caused by low-dose scanning, preserves key anatomical details and lesion features of the coronary arteries and myocardium, and enhances the clinical diagnostic practicality of low-dose CT images for coronary artery disease.

The embodiment of the invention discloses a three-dimensional myocardial scar visualization system. According to one specific embodiment, the system comprises a data processing end configured to perform heart structure and scar segmentation on target heart magnetic resonance data to obtain a binary tag graph for the heart and the myocardium; constructing an individualized ventricular network and a scar three-dimensional surface model based on the binary label graph; generating an initial myocardial scar three-dimensional model; generating lead implantation track information; generating a myocardial scar three-dimensional model according to the lead implantation track information; and the model application end is configured to perform model rendering on a target application page according to the model parameters corresponding to the myocardial scar three-dimensional model sent by the data processing end so as to provide an interactive operation function and generate a clinical report. According to the embodiment, accurate and visual three-dimensional visual decision support can be provided for preoperative planning and intraoperative navigation of heart diseases, so that the accuracy of surgical planning and the clinical working efficiency are remarkably improved.

The utility model relates to a cell freezing box which comprises a box body and a box cover, a containing frame is arranged in the middle of the interior of the box body, a plurality of storage grooves are formed in the box body, storage units are connected in the storage grooves in a sliding mode, each storage unit independently stores a cell freezing tube, each storage unit comprises a connecting rod, a storage tube and a cover plate assembly, and a heart-shaped structure is arranged on one side of each storage tube. A sliding head is installed in the heart-shaped structure and fixed to the upper end of a connecting rod, the lower end of the connecting rod is hinged to a fixing base, the fixing base is installed at the bottom of the box body, a button head is integrally arranged at the upper end of a storage tube, a cell cryopreservation tube is stored in the storage tube, and a cover plate assembly is arranged at the upper end of the storage tube. The cover plate assembly blocks a through hole which is formed in the box cover and used for inserting a cell cryopreservation tube, a memory card is installed in the cover plate assembly, and cell information is stored in the memory card. The cell cryopreservation tube is independently stored through the storage unit, and the cell information in the storage unit is read by using the memory card chip, so that the cell cryopreservation tube is convenient to find and take.

The invention discloses a lightweight ultrasonic medical dynamic image segmentation method based on Mama, which comprises the following steps: acquiring cardiac ultrasound image information, and analyzing and preprocessing the cardiac ultrasound image information to obtain a cardiac ultrasound dynamic image set; performing parallel processing on the cardiac hyperdynamic image set by using a deep convolutional neural network, and extracting a deep semantic feature set of the cardiac structure; performing parallel processing on the cardiac hyperdynamic image set by using a time sequence tracking module of the bidirectional state space model, and extracting a time sequence change feature set of the dynamic change of the heart; performing cross-modal feature fusion on the deep semantic feature set and the time sequence change feature set to obtain a unified fusion feature set; generating and outputting heart structure segmentation information according to the unified fusion feature set; accurate and comprehensive scientific data support is provided for medical diagnosis.

The application relates to a kind of artificial valve delivery device and system, and the delivery device includes several push tubes, each push tube is coaxially nested and can be axially moved relative to each other, the distal end of the push tube is connected with segmented capsule structure, artificial valve can be loaded in segmented capsule structure after being compressed;The proximal end of the push tube is connected with an adjusting handle, the adjusting handle can control the circumferential and axial movement of the plurality of push tubes, by operating the adjusting handle, the proximal end structure of the segmented capsule structure can be separated, and the distal end part is axially overlapped, the axial length is significantly shortened, the overall axial movement of the capsule structure is controlled to control the release movement of the distal end and the proximal end of the artificial valve respectively;The application greatly reduces the damage to the heart structure of the patient caused by the oversize of the valve loading device.

This invention relates to the field of image processing technology, and more particularly to an artificial intelligence-based cardiac ultrasound examination auxiliary system, comprising: an image processing module, including an acquisition unit for acquiring dynamic cardiac ultrasound images using an ultrasound probe; a model training module connected to the image processing module, including a model generation unit for training an initial model based on optimized images to output a convolutional neural network model; a feature extraction module connected to the model training module, including a feature extraction unit for extracting key features of the cardiac structure through the convolutional neural network model to output features of the dynamic cardiac ultrasound image; and a control module connected to the image processing module, the model training module, and the feature extraction module respectively, for determining the pulse repetition frequency of the ultrasound probe based on the artifact occurrence rate of the dynamic cardiac ultrasound image. This invention improves the processing stability of dynamic cardiac ultrasound images.

The utility model relates to the technical field of medical instruments, in particular to a portable in-vitro simulation demonstration device which comprises a supporting device (2), a heart model (3) and a blood vessel model (4), and the heart model (3) is detachably fixed on a supporting plate (21) of the supporting device (2). The in-vitro simulation demonstration device is used for in-vitro simulation demonstration of medical instruments for interventional therapy of tricuspid regurgitation, is simple and convenient, and can more intuitively realize simulation demonstration operation of a heart structure.

The invention relates to the technical field of traditional Chinese medicine, in particular to a traditional Chinese medicine composition for improving atrial fibrillation, a pharmaceutical preparation and a preparation method thereof. The traditional Chinese medicine composition comprises the following components in parts by weight: 20-26 parts of radix rehmanniae, 8-12 parts of honey-fried licorice root, 13-17 parts of sun-dried ginseng, 13-17 parts of poria cocos, 28-32 parts of dragon bone, 28-32 parts of nacre mother of pearl, 13-17 parts of schisandra chinensis, 22-26 parts of radix ophiopogonis, 10-14 parts of rhizoma corydalis, 18-22 parts of salvia miltiorrhiza, 7-12 parts of cassia twig and 13-17 parts of poria with hostwood. The traditional Chinese medicine composition is prepared from honey-fried licorice root, sun-dried ginseng, poria cocos, dragon bone, nacre mother of pearl, schisandra chinensis, radix ophiopogonis, rhizoma corydalis, salvia miltiorrhiza, cassia twig and poria with hostwood according to a specific proportion, can obviously improve the condition of heart function impairment, promote heart function recovery, protect the heart structure, improve cardiac hypertrophy, inhibit fibrosis and relieve atrial fibrillation symptoms, and is free of toxic and side effects, safe, reliable and free of toxic and side effects. Good application prospects are realized.

A wearable transthoracic echocardiogram patch employing an ultrasound imager and a cardiac compression monitor. When the ultrasound imager is affixed to a patient's chest during cardiopulmonary resuscitation of the patient, the ultrasound imager is operated to generate a series of ultrasound images of a compression of a cardiac structure of the patient during the cardiopulmonary resuscitation of the patient, and the cardiac compression monitor is operated to derive a compression profile of the cardiac structure from the series of ultrasound images generated by the ultrasound imager during the cardiopulmonary resuscitation of the patient. The cardiac structure can be a right ventricle or a left ventricle, and the compression profile can be derived from a perimeter, a volume, a pulse rate, a blood flow rate, a blood pressure level, and / or an electrical activity level of the segmented cardiac structure.

The invention relates to a key frame determination method suitable for cardiac ultrasound. The method comprises the steps of obtaining target cardiac ultrasound information of at least one cardiac cycle, performing segmentation recognition processing on each frame of to-be-selected cardiac ultrasound image by using a cardiac structure segmentation model to generate cardiac structure state information of each frame of to-be-selected cardiac ultrasound image, and determining the cardiac ultrasound information of each frame of to-be-selected cardiac ultrasound image based on the cardiac structure state information of each frame of to-be-selected cardiac ultrasound image. Performing image section identification and screening processing on all to-be-selected cardiac ultrasound images to generate a plurality of selected cardiac ultrasound image groups after image section identification and screening processing, and constructing a spatial feature-image frame sequence relation graph corresponding to the current selected cardiac ultrasound image group; and performing convex hull detection on the constructed spatial feature-image frame sequence relation graph, so as to determine the key frame of the currently selected cardiac ultrasound image group through the convex hull detection. According to the method, selection and determination of the key frame in cardiac ultrasound can be quickly and accurately realized, and the automation and intelligence degree of key frame searching is improved.

The inventors showed that intravenous administration of the small extracellular vesicles (sEVs) loaded with a plasmid encoding a dominant-negative mutant of NLRP3 under the control of the SF1 promoter (SF1-NLRP3-DN) slightly reduced body weight but did not modify food intake in atherosclerosis-prone ApoE knockout mice fed a high-fat diet, but induced an increase in brow adipose tissue (BAT) thermogenesis. Glucose tolerance was not affected after treatment with SF1-NLRP3-DN-loaded EVs. High-fat diet feeding induced an increase in the number of arrhythmias, as well as an increase in the onset of atrial fibrillation (AF) induced by transoesophageal stimulation, but also spontaneous arrhythmias that was not modified by the treatment with non-loaded EVs. Interestingly, EVs loaded with SF1-NLRP3-DN almost completely prevented both induced and spontaneous arrhythmias (conduction block) and AF. Finally, echocardiographic analyses showed that SF1-NLRP3-DN-loaded EVs did not induce any change in the structural and functional capacity of the heart. Accordingly, the present invention relates to the use of particles for the treatment of cardiac events associated with obesity.

A system and method for visualizing a cardiac structure of interest including at least one imaging device that obtains image data of a cardiac structure of interest from within the cardiac structure, and a processor comprising a memory The processor is configured to receive and store model data of the cardiac structure of interest, determine at least one location for positioning the at least one imaging device within the cardiac structure of interest to obtain image data of the cardiac structure of interest, receive the image data from the at least one imaging device positioned at the at least one determined location within the cardiac structure of interest, and generate a 3D electrophysiological map of the cardiac structure of interest from within the electrophysiological map.

The invention relates to the field of fermentation, and discloses a full-automatic stainless steel fermentation tank which comprises a tank body, an outer cavity, an inner cavity, a stirring structure, an inner pushing centering structure and a magnetomotive reset structure, the outer cavity is formed by connecting a first cavity pipe section and a second cavity pipe section, and a peripheral cavity is formed between the outer wall of the outer cavity and the inner wall of the tank body; a standing cavity is formed between the outer wall of the inner cavity and the inner wall of the first cavity pipe section, and a material fermentation cavity is formed inside the second cavity pipe section and the inner cavity; the inner presumption centering structure forms at least three supporting points on the periphery of the inner cavity and synchronously applies thrust to the inner cavity at the supporting points, and the magnetomotive reset structure drives the inner cavity to move in the direction close to the inner wall of the first cavity pipe section under the action of magnetic force when the thrust of the inner presumption centering structure to the inner cavity is relieved. Through the partitioned structural design of the inner cavity and the outer cavity, the independent standing cavity and the independent material fermentation cavity are constructed, parallel operation of the standing process and the stirring fermentation process is achieved, the fermentation continuity is guaranteed, and the overall fermentation efficiency is improved.

The present application relates to the field of medical image processing, particularly to a four-dimensional echocardiogram dynamic segmentation system for congenital heart disease, which acquires four-dimensional echocardiogram data of a fetal heart through an image acquisition module, corrects fetal movement artifacts by using optical flow field time series analysis technology in an optical flow field correction module, improves image quality, aligns heart structures and extracts interventricular septal defect regions through a multi-scale similarity transformation strategy in a heart structure time series alignment module, calculates the edge line diameter and shunt direction of the defect site in a defect analysis module, generates defect parameter information, and generates a congenital heart disease screening report in a result output module, which effectively eliminates image artifacts caused by fetal movement, lays a foundation for subsequent analysis, and accurately analyzes by accurately aligning heart structures to keep the defect site in a stable position in the time sequence.

The invention relates to the technical field of biomedical engineering, and particularly discloses a floating catheter in-vitro simulation device based on a 3D printing model, and the device comprises a floating catheter body which is a main instrument for floating catheter examination and can be externally connected with hemodynamics monitoring equipment; the floating catheter body enters the heart and pulmonary artery individualized 3D printing model through the internal jugular vein simulation channel, and the internal jugular vein simulation channel, the heart and pulmonary artery printing model and the inferior vena cava inlet are all integrated in the neck and chest simulation part. According to the floating catheter in-vitro simulation device based on the 3D printing model, the diseased heart structure and the pulmonary artery of an individualized 3D printing patient serve as main carriers, the model can be established in an individualized mode according to clinical imaging data of different patients, and in cooperation with a liquid peristaltic pump and internal environment simulation liquid, the model can be simulated in an individualized mode; the method is more similar to individualized simulation of the anatomical structure and hemodynamic basis of a patient, and in-vitro simulation operation of floating catheter examination can be carried out.

The application discloses a heart ultrasound image optimization enhancement method based on image filtering and belongs to the technical field of heart ultrasound images. The heart ultrasound image optimization enhancement method based on image filtering comprises the following steps: S1, obtaining a heart ultrasound binary image; S2, obtaining a heart ultrasound image to be processed; S3, highlighting the edge features of a blood vessel wall and myocardial tissue; S4, obtaining an enhanced heart ultrasound image; and S5, obtaining an optimized and enhanced heart ultrasound image. The application solves the problem that the prior art is prone to affecting the overall consistency judgment of heart cavities, valves and other structures, can more intuitively display a heart disease area, reduces the misjudgment of medical staff caused by noise or low contrast, can effectively capture texture information at different levels, enhances the recognition ability of complex heart structures, and further more accurately quantifies myocardial strain rate, ventricular volume and other parameters, thereby providing a reliable basis for evaluating heart function.

The application discloses a hypertension heart disease early screening system fusing ultrasonic multi-parameters, acquires ultrasonic image data and physiological index monitoring parameters of a patient at different time points, carries out differential comparison on heart structure parameters to generate time sequence change data, establishes a multi-dimensional data fusion scheme based on the time sequence change data and the physiological index, identifies an acute risk trigger factor and generates blood flow abnormal parameters according to the fusion scheme, carries out emergency threshold comparison to generate an acute risk early warning signal, extracts a myocardial strain degradation rate to determine a chronic degradation acceleration time point, generates a chronic risk stratification curve by correlating disease progression stages and establishes a clinical index control table, carries out double-layer correlation between the acute risk early warning signal and the chronic risk stratification curve and calibration determination to generate a comprehensive risk determination sequence, decomposes the sequence into an acute determination layer and a chronic determination layer, configures a risk threshold to generate an instant early warning signal, forms a stratified screening report, and provides technical support for early discovery of hypertension heart diseases.

The utility model relates to the field of hemodynamic simulation, and discloses a cardiovascular hemodynamic simulation device. According to the application, a right atrium, a left atrium, a left ventricle and a right ventricle are sequentially arranged in the simulated heart main body, simulated walls are arranged among the right atrium, the left atrium, the left ventricle and the right ventricle, air bags are arranged in the right atrium, the left atrium, the left ventricle and the right ventricle, and pressing plates are arranged at the top ends of the right atrium, the left atrium, the left ventricle and the right ventricle; through the arrangement of the right atrium, the left atrium, the left ventricle and the right ventricle, the specific functions of each heart structure and the role of each heart structure in blood circulation are helped to be understood, meanwhile, students and medical workers can better master the physiological mechanism and related pathological states of the heart, the overall cognition of the cardiovascular system is improved, and the development of the cardiovascular system is promoted. The matched simulation wall can effectively separate the right atrium, the left atrium, the left ventricle and the right ventricle, and the arrangement of the pressing plate and the air bag facilitates heartbeat simulation of the structure.

The invention relates to the technical field of biological medicines, in particular to application of a C5a receptor inhibitor PMX53 in preparation of a medicine for preventing and / or treating ejection fraction retention type heart failure. Experimental data provided by the invention show that the PMX53 effectively reverses the heart structural lesion related to the HFpEF. Histological analysis proves that the pathological hypertrophy of myocardial cells and the fibrosis process of myocardial interstitial substance are remarkably inhibited by PMX53 treatment. In addition, the overall hypertrophy degree of the heart is relieved through treatment. The discovery shows that PMX53 not only improves the heart function, but also intervenes and repairs myocardial structure damage caused by HFpEF on the tissue level.