176 results about "Hemodynamics" patented technology

The invention relates to the technical field of data analysis, and discloses a data analysis method and system for blood donation service platform supervision, and the method specifically comprises the steps: collecting the dynamic physiological index data of a target blood donor in real time, meanwhile, historical blood donation records, blood donor family health association map data and real-time environment parameters provided by environment monitoring equipment are called from a blood donation service platform database; performing individualized health risk prediction analysis through the deep learning model, and outputting a predicted health risk value; performing multi-dimensional endurance capacity analysis on the high-risk blood donors, and calculating individual tolerance attenuation coefficients; establishing a hemodynamic safety evaluation model, and outputting a blood donation safety value representing a blood donation safety boundary; and generating a three-level response strategy instruction according to the blood donation safety value, and dynamically optimizing the service process of the blood donation service platform. According to the method, the problems of blood quality fluctuation and resource waste caused by blood donation adverse reaction caused by insufficient risk pre-judgment of the blood donors in the prior art are solved.

A physiological information display apparatus includes a reception unit configured to receive a start signal and an end signal, the start signal indicating a start timing of a treatment for a subject, the end signal indicating an end timing of the treatment, a calculation unit configured to calculate a moving average value of a pulse wave transit time of the subject, a hemodynamic parameter of the subject, using the calculated moving average value, and a change rate of the hemodynamic parameter in a period from the start timing to the end timing, based on the start signal and the end signal received by the reception unit, and a display controller configured to output, to a display, the change rate calculated by the calculation unit.

The invention discloses an application of beta-alanine in preparation of a medicine for treating pulmonary arterial hypertension. In-vivo and in-vitro pharmacological experiments prove that beta-alanine can inhibit lactic acid-mediated histone milk acylation modification and hypoxia-induced phenotypic transformation of PASMCs (Polyaspartic Sulfonate Molecules); the hemodynamics and pulmonary artery vascular remodeling of the PAH mouse are improved. The beta-alanine can inhibit phenotypic transformation of PASMCs and reverse pulmonary artery vascular remodeling which is a key pathological change in the pulmonary hypertension generation process, has huge potential in treatment of pulmonary hypertension, and has good application prospects and high clinical application value.

The present disclosure provides novel immunoglobulin proteins that bind to a human natriuretic peptide receptor 1 (NPR1) agonist, preferably an anti-NPR1 antibody. In certain embodiments, the proteins of the disclosure comprise at least one immunoglobulin variable domain that binds to an anti-NPR1 antibody. In certain embodiments, the proteins of the disclosure are useful in blocking and / or reversing the effect of an administered anti-NPR1 antibody. In certain embodiments, the antigen-binding proteins are useful for effective management of blood pressure and hemodynamics in humans.

The invention discloses an image processing method and system for zebra fish flowing blood cell recognition. According to the method, aiming at the problems of cell blurring, stretching and overlapping caused by long-time exposure in microscopic imaging, a complete process including image preprocessing, Transform-based target detection model training and self-adaptive post-processing is constructed. The preprocessing improves the image quality by enhancing the cell edge and the contrast ratio; the detection model performs end-to-end localization on cells by using an improved DETR structure; and in post-processing, an optimal threshold value is automatically selected according to different scenes so as to obtain a stable counting result. According to the method, high recognition precision can be achieved under the complex deformation condition, the good experiment condition generalization ability is achieved, and the method can be used for high-throughput zebra fish hemodynamics research and other scenes.

The invention discloses a brain load assessment method and system based on hemodynamic information and electroencephalogram signals, and relates to the field of brain-computer interface classification systems. The technical problem that how to fuse electroencephalogram signals and hemodynamic information and comprehensively utilize complementary characteristics of the electroencephalogram signals and the hemodynamic information in time and space dimensions to achieve accurate recognition and dynamic evaluation of the mental load state in the prior art is urgently needed to be solved in the current brain-computer interface field is solved. The method comprises the following steps: acquiring EEG data and fNIRS data of a testee; performing preprocessing, selecting a suitable frequency band, removing interference such as high-frequency noise and low-frequency baseline drift, and constructing a corresponding training data set; respectively constructing an EEG single-mode network and an fNIRS single-mode network which are used for extracting related characteristics; and constructing an EEG-fNIRS multi-mode classification network for fusing data of brain imaging modes in the EEG single-mode network and the fNIRS single-mode network, and performing classification evaluation on the hemodynamic information of the subject and the brain power load data of the electroencephalogram by using the EEG-fNIRS multi-mode classification network.

The invention provides a multi-mode ultrasonic monitoring method for degradation of a PFO degradable plugging device, and relates to the technical field of cardiovascular ultrasonic medical treatment. The multi-mode ultrasonic monitoring method for degradation of the PFO degradable occluder aims to overcome the technical defects that in the prior art, a single ultrasonic mode cannot achieve degradation progress quantification of the occluder, precise identification of residual shunt and evaluation of the integration degree of surrounding myocardial tissue at the same time. According to the method, three modalities of real-time three-dimensional transthoracic ultrasound (RT-3D TTE), ultrasonic contrast (CEUS) and shear wave elastography (SWE) are cooperatively applied, the form, hemodynamics and tissue elasticity data of the occluder are collected in stages, non-invasive, dynamic and accurate monitoring of the whole degradation process of the occluder is achieved in combination with preset quantitative indexes, and a reliable basis is provided for clinically adjusting a treatment scheme.

A method, system, device and storage medium for measuring and classifying CT-FFR, dividing lesions into different types according to coronary artery computed tomography angiography (CCTA) images, determining lesion lengths at lesion positions according to different lesion types, and determining the lesion lengths at the lesion positions according to different lesion types. Then, the measurement range of computed tomography fractional flow reserve is determined according to the focus lengths of different lesion types, a statistical matrix is established to calculate the numerical values of all computed tomography fractional flow reserve CT-FFR in the measurement range, and finally, hemodynamic classification is conducted on calculation results. According to the CT-FFR evaluation method, the accuracy and the stability of CT-FFR evaluation are enhanced by carrying out pathological change specificity classification on the pathological change in the haemodynamics sense, interference is reduced, and a more reliable solution is provided for clinicians and patients.

This invention discloses a method, device, electronic equipment, and medium for assessing the risk of pulmonary embolism. It relies entirely on collected non-invasive objective data and eliminates subjective judgments based on medical history or physician experience, effectively avoiding risk misjudgments caused by subjective variables in the PESI / sPESI model. This ensures the consistency and reliability of the assessment results. The ratio of Qa to Qb is used as the core assessment indicator. This ratio is a continuous variable, eliminating the need for empirical segmentation of parameters and avoiding significant differences in assessment results among patients with similar conditions. The risk level is assessed based on the ratio of Qa to Qb obtained through hemodynamic simulation. The results perfectly match clinical understanding of the severity of pulmonary embolism, improving assessment accuracy. Simultaneously, it reduces patient examination trauma and avoids high equipment and operational costs.

The invention relates to a blood flow parameter measuring device, equipment, a storage medium, an ultrasonic probe and a system, and belongs to the field of medical instruments. The blood flow parameter measuring device comprises a first obtaining module used for obtaining a first measuring parameter obtained by a first transducer group in an imaging mode; the second acquisition module is used for acquiring a second measurement parameter acquired by the second transducer group in the imaging mode or the Doppler blood flow detection mode; the first measurement parameter and the second measurement parameter both comprise a blood vessel position, a blood vessel depth, a blood vessel diameter and a Doppler included angle; the correction module is used for performing combined calculation on the first measurement parameter and the second measurement parameter and correcting the blood vessel diameter and the Doppler included angle; and the monitoring module is used for monitoring hemodynamic parameters of the target object according to the corrected blood vessel diameter and Doppler included angle. According to the technical scheme, the stable hemodynamics evaluation result can be output.

The invention relates to the technical field of medical image early warning, and discloses a cerebral apoplexy early warning method based on a cerebrovascular image representation group. The method comprises the following steps: acquiring a cerebrovascular image sequence, and constructing multi-modal information containing a vascular structure and hemodynamics; based on this, a multi-level representation network is constructed, and a dynamic time-varying risk representation graph is generated through node interaction and space-time modulation. Then performing multi-scale grid segmentation on the risk map to obtain a plurality of local evaluation units, and synchronously screening out candidate units with abnormal evolution according to a preset risk dynamics model; and aggregating the candidate unit features to generate a global risk evolution path, backtracking and positioning to a high-risk frame set in the original image, and outputting an early warning signal after feature decoupling and recombination. According to the method, quantitative tracking and early-stage accurate positioning of the dynamic evolution process of the stroke risk in the space-time space are realized.

A neural network is trained for estimating patient hemodynamic data using a plurality of extravascular imaging data sets and a plurality of intravascular imaging data sets that are each co-registered to a corresponding extravascular imaging data set. A plurality of hemodynamic data sets are provided, each hemodynamic data set co-registered with the corresponding extravascular imaging data set. The neural network learns what hemodynamic data to expect for a given intravascular imaging data set. An intravascular imaging event is subsequently performed in which an intravascular imaging element is translated within a blood vessel of the patient to produce one or more intravascular images. The neural network uses its training to predict hemodynamic values corresponding to the one or more intravascular images from the intravascular imaging event, and the one or more intravascular images are outputted in combination with the predicted hemodynamic values.

A physiological information display apparatus includes a heart rate acquisition unit configured to acquire a heart rate of a subject, a respiration rate acquisition unit configured to acquire a respiration rate of the subject, a hemodynamics calculation unit configured to calculate a hemodynamic parameter of the subject, and a respiratory variation of the hemodynamic parameter, based on a plurality of the hemodynamic parameters calculated in a predetermined period, and a display controller configured to output the respiratory variation to a display. The hemodynamics calculation unit is configured to calculate a heart rate in one respiration. The display controller is configured to output a setting screen for setting a length of the predetermined period. The hemodynamics calculation unit is configured to acquire setting information, set the length of the predetermined period based on the acquired setting information; and calculate the respiratory variation in the set predetermined period.

A method for providing patient hemodynamic information includes obtaining a three-dimensional electronic model of the patient's coronary artery, obtaining first and second boundary condition model value sets, and performing first and second three-dimensional computational fluid dynamics (CFD) simulations of the model based on the first and second boundary condition model value sets. For each CFD simulation, a first pressure drop between a first location and a second location of the coronary artery is calculated. The method further includes determining, based on the first and second pressure drops, patient-specific parameters, determining an inflow rate boundary condition based on the patient-specific parameters, performing a third three-dimensional CFD simulation of the coronary artery model based on the inflow rate boundary condition, and calculating, according to the third CFD simulation, a third pressure drop for any location in the coronary artery model.

The utility model relates to the technical field of ultrasonic imaging, in particular to a novel designed probe suitable for newborn lung ultrasonic scanning, which comprises a probe body, a tail section scanning area and a back side scanning area, according to the newborn lung ultrasonic scanning probe, the novel design probe which is similar to a hockey ball and suitable for newborn lung ultrasonic scanning is arranged, and the ultrasonic transducers are arranged in the tail section scanning area and the back side scanning area of the hockey ball probe body; required data can be completely and quietly collected with low disturbance without greatly changing the body position, the examination operation time is greatly shortened, the time deviation is reduced, the blood flow of a child patient is stable, interference factors are reduced, and the consistency of the imaging background of the collected 12-partition image is greatly improved.

The application discloses a blood flow guiding dense mesh stent preoperative prognosis evaluation method and device based on hemodynamics, equipment and a storage medium, which comprises the following steps: constructing a three-dimensional blood vessel geometric model based on medical image data of a patient, performing hemodynamic simulation, obtaining a jet path in a tumor cavity, virtually implanting the blood flow guiding dense mesh stent in the three-dimensional blood vessel geometric model, obtaining a stent center line of the stent located in the tumor cavity, calculating a jet compliance index for prognosis evaluation based on the jet path in the tumor cavity and the stent center line, constructing a jet compliance comprehensive index based on the first jet compliance index, the second jet compliance index and the third jet compliance index, and performing prognosis evaluation on the preoperative curative effect of the blood flow guiding dense mesh stent according to the comprehensive index, so that the reliability of prognosis prediction is improved.

This invention discloses a method and system for evaluating the effectiveness of photostimulation based on multimodal feature fusion, belonging to the field of big data analysis technology. The method and system include the following steps: S1, acquiring raw observation data and performing time axis relocation, dynamic denoising, normalization, and sliding time window segmentation; S2, evaluating the state of the stimulation process and selecting effective windows; S3, extracting neural activity response features and hemodynamic response features, and performing physiological response reliability assessment; S4, performing consistency fusion to evaluate the effectiveness of photostimulation. This invention effectively improves the stability and reliability of effectiveness evaluation during head-mounted photostimulation, solving the problems of difficulty in distinguishing between abnormal stimulation pathways and true brain tissue responses, as well as insufficient consistency of results across batches of experiments.

A method of generating an image or video of a field of interest of a sample which includes obtaining i) a first RGB image from a field of interest of a sample, and ii) hyperspectral data from a subarea of the field of interest, extracting an RGB image of the subarea from the first RGB image of the field of interest, applying the hyperspectral data of the subarea to conduct a spectroscopic analysis of a sample thereby generating spectral parameters, inputting i) the spectral parameters, and ii) the first RGB image, collectively as training input data to a deep learning model (DLM), training the DLM with the training input data thus generating a trained DLM, obtaining and inputting a second RGB image of about the field of interest to the trained DLM, and outputting from the trained DLM a spectral map for the field of interest.

Provided herein are dry powder formulations comprising epinephrine alone or in combination with at least one enabling agent suitable for nasal application. Also provided are unit dose forms and devices comprising such formulations and methods of using such formulations for the treatment of various conditions including anaphylaxis, anaphylactoid reaction, respiratory conditions, hemodynamic collapse, and for administration during cardiopulmonary arrest and other life-threatening conditions.

The invention discloses a hemodynamic monitoring system and a control method for an intermittent occlusion balloon catheter. The monitoring system comprises a blood flow pressure measurement module, a cardiac displacement measurement module, a thrombus monitoring module and an infusion pump control module. The control method comprises the steps that a right atrium and vena cava pressure threshold value is set, the size of a balloon is controlled and adjusted through an infusion pump, the relation between blood flow pressure and the pressure threshold value is continuously monitored, and then the expansion size and time of the balloon are fed back and adjusted; based on an automatic cold solution suction-discharge module, the cardiac displacement change is indirectly measured; in the treatment process, parameter changes such as cardiac displacement, right atrium pressure and vena cava pressure of a patient are measured, and whether the patient recovers hemodynamics or not is monitored, and safe machine withdrawal conditions are met; and the thrombus risk condition near the balloon is analyzed through the thrombus monitoring module. The size and time of the balloon are adjusted through pressure feedback, and the infusion precision is improved; and machine withdrawal judgment conditions are set, so that the treatment effect of the patient is improved.

The invention provides a traditional Chinese medicine composition for treating pulmonary arterial hypertension right heart failure, which is characterized in that the traditional Chinese medicine composition is prepared from the following raw material medicines: safflower carthamus, polygonum cuspidatum, semen lepidii, white mulberry root-bark and astragalus membranaceus. Various components in the traditional Chinese medicine composition are scientific in compatibility and play a synergistic effect, the cardio-pulmonary function of a right heart failure rat suffering from pulmonary arterial hypertension can be improved, the hemodynamics of pulmonary artery can be improved, the pathological damage and fibrosis degree of cardiac muscle tissue can be relieved, the inflammation level can be reduced, and the remarkable treatment effect on the right heart failure suffering from pulmonary arterial hypertension can be achieved; the clinical application value is higher, and the medical application prospect is wide.

The invention discloses an integrated valvular catheter and a preparation method thereof, relates to the technical field of medical instruments, and aims to solve the problems that in a traditional valvular catheter operation, suturing is tedious, tearing and thrombus risks exist, and adaptability is insufficient. The integrated valve-containing pipeline is composed of a valve leaflet and a pipeline body which are integrated through the sintering effect, sewing is not needed, and the reflux and thrombus risks caused by sewing gaps are effectively avoided; a metal memory alloy support is embedded in the wall of the pipeline, so that support can be provided for the valved pipeline to stabilize haemodynamics and prevent the pipeline from collapsing, endovascular intervention delivery can be achieved, and the device is adaptive to a surgical opening mode or an endovascular implantation mode and is used for replacing the valved pipeline at parts such as pulmonary artery and lower limb deep vein of a human body and recovering the function of the damaged valve.

This invention relates to the field of emergency medicine technology, specifically to a comprehensive monitoring and emergency care system for emergency department patients. The system includes a patient information management unit, a real-time monitoring unit, a behavioral feature recognition unit, an intelligent early warning and decision support unit, and a remote collaboration and communication unit. Through a trauma-specific multimodal monitoring architecture and dynamic anti-interference mechanism, this invention achieves precise and continuous monitoring of hemodynamics and vital signs in acute trauma patients, effectively identifying critical conditions such as occult shock. Furthermore, by utilizing non-contact multimodal sensing and intelligent behavioral analysis technology, it transforms the patient's surface temperature, subtle body movements, and voiceprints into clinical risk indicators, providing early warnings of potential risks. This offers multi-dimensional, high-precision monitoring and early warning for emergency trauma patients, significantly improving the timeliness and accuracy of emergency diagnosis.

A method for monitoring a hemodynamic parameter of a patient includes sensing the hemodynamic parameter with a first sensor and communicating a first dataset of the hemodynamic parameter to a hemodynamic monitor throughout a monitoring period. A second sensor senses the hemodynamic parameter of the patient and communicates a second dataset of the hemodynamic parameter to the hemodynamic monitor throughout the monitoring period. The hemodynamic monitor saves the first dataset and the second dataset to a memory of the hemodynamic monitor. In a first step, a processor populates a data sequence with all of the values of the first dataset relative to time of the monitoring period. In a second step, the processor populates any segments of time missing a hemodynamic parameter value in the data sequence with a hemodynamic parameter value from a corresponding time segment in the second dataset after completion of the first step.

The invention discloses a multi-artery coupling wearable continuous blood pressure measuring device and method based on multi-modal sensing, and relates to the technical field of medical monitoring. Existing wearable equipment also has inherent limitations in hardware configuration, and the existing devices are generally limited to collection of peripheral signals of a single position; the sensor layout cannot acquire multi-modal physiological signals which are necessary for constructing a high-fidelity hemodynamic model and are distributed at different anatomical positions. The first purpose of the invention is to provide a blood pressure measuring device which has a specific sensor layout and is specially designed to be used for synchronously acquiring central artery blood flow information and peripheral artery pulse signals required for realizing the method, so that hardware support is provided for high-precision personalized blood pressure estimation. The second purpose is to provide a blood pressure measuring method which is based on 0D and 1D hemodynamic models, central and peripheral multi-mode signals can be fused, and the defects of an existing algorithm are overcome.

The application discloses a fetal congenital heart disease intervention path reasoning method and system based on atlas enhanced retrieval, and relates to the technical field of medical data processing and intelligent auxiliary decision-making.The application constructs a domain knowledge graph containing anatomical structure, hemodynamics and evolution law, and establishes a graph-text hybrid index; in the reasoning stage, a large language model is used to extract key features of the target fetus and its mother, multi-hop retrieval and subgraph matching are performed in the atlas, and knowledge context with medical logic constraints is obtained; finally, the thinking chain technology is combined to guide the large model to generate a hierarchical intervention path containing prenatal monitoring, perinatal management and postpartum surgery. The application solves the problem that the existing large model has hallucination and lacks time sequence reasoning ability in complex medical decision-making, and improves the accuracy and explainability of the intervention scheme.

A hemodynamic monitoring system monitors arterial blood pressure of a patient and provides a warning to medical personnel of a predicted future hypotensive event of the patient. Sensed hemodynamic data representative of an arterial pressure waveform of the patient is received by a hemodynamic monitor. The received hemodynamic data is shifted based on a difference between a standard mean arterial pressure (MAP) threshold for hypotension and an adjusted MAP threshold for hypotension to produce adjusted hemodynamic data. A waveform analysis of the adjusted hemodynamic data is performed and a risk score representative of a probability of a future hypotensive event of the patient is determined based on the waveform analysis. In response to the risk score satisfying a predetermined risk criterion, an sensory alert is invoked to produce a sensory signal.

The invention provides a capillary network hemodynamic modeling method with a multilayer structure, and aims to solve the problem that a traditional model is difficult to truly reflect a capillary multilayer structure and blood flow topological characteristics, and combines the hierarchical structure characteristics of a capillary network disclosed by a high-resolution imaging image. And constructing a multi-layer blood vessel network model consisting of a microarteriovenous layer, a connecting layer and a capillary network layer. Wherein the micro artery and vein layer is a tree-shaped blood vessel network formed by micro arteries and micro veins; the capillary network layer is of a regular network blood vessel structure constructed based on a hexagonal grid; and the connecting layer is a connecting blood vessel for connecting the microarteriovenous layer and the capillary network layer. Through standardized numbering rules, node insertion and blood vessel splitting operation, embedding, reconstruction and overall structure integration of blood vessel segments are completed, and therefore a capillary network system which is complete in structure and is in topological communication is constructed. On the basis of structural modeling, a linear equation solving system is established for hemodynamic simulation. The method has the advantages in the aspects of structural definition, simulation precision and expansibility, and has important scientific research and engineering application value.

The invention discloses a non-invasive pulmonary arterial hypertension hemodynamic monitoring method based on machine learning, and belongs to the technical field of pulmonary arterial hypertension hemodynamic monitoring. The non-invasive pulmonary arterial hypertension hemodynamic monitoring method based on machine learning comprises the following steps: collecting BCG signal data through static data collection equipment; eCG signal data are acquired through dynamic data acquisition equipment; pPG signal data are collected through a photoelectric finger clip; static feature extraction is carried out on static data composed of the BCG signal data and the PPG signal data, and dynamic feature extraction is carried out on dynamic data composed of the ECG signal data and the PPG signal data; and inputting the static characteristics and the dynamic characteristics into a regression model, and training the regression model by taking the hemodynamic parameter CO measured by the right cardiac catheter at the same time as a target to obtain a cardiac displacement prediction regression model. By adopting the non-invasive pulmonary arterial hypertension hemodynamics monitoring method based on machine learning, the problems that an existing pulmonary arterial hypertension hemodynamics monitoring method is complex in operation and cannot meet daily rehabilitation training monitoring use are solved, and the prediction precision is improved.

Provided are an artificial intelligence AI-based simulation device and method for supporting procedure planning in transcatheter aortic valve implantation. The device receives patient-specific medical images, such as computed tomography data, and generates a three-dimensional (3D) model of the aortic root and native valve. An artificial valve is virtually inserted into the 3D model, and the virtual implantation model is automatically converted into mesh data suitable for Computational Fluid Dynamics (CFD) and Fluid-Structure Interaction (FSI) analysis. The processor performs CFD / FSI simulations to evaluate hemodynamic changes, structural stresses, and potential device-tissue interactions. Based on the analysis, the system outputs predicted risks of procedure-related complications (including coronary obstruction, annular rupture, paravalvular leakage, and valve deformation) and provides guideline data for selecting valve size, implantation depth, and insertion angle. The disclosed device and method enable accurate, patient-specific prediction and visualization, thereby assisting clinicians in establishing safe and optimized TAVI procedure plans.