330 results about "Heart disease" patented technology

A computer implemented method for training a whole medical image foundation model, including: receiving a plurality of medical image datasets; extracting local sections of image data from the plurality of medical image datasets; obtaining one or more causal variables associated with the local sections and / or patient; training one or more self-supervised learning models based on the local sections of image data and the causal variables; combining the one or more trained self-supervised learning models with a deep learning network configured to combine a latent representation of the local sections of image data from the one or more trained self-supervised learning models into a patient-level representation; and combining, with the one or more trained self-supervised learning models and the deep learning network, at least one further network or function configured to accept the patient-level representation as input, the at least one further network or function operable to perform one or more patient-specific prediction tasks.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

The invention discloses an electrocardiosignal preprocessing system and method based on filtering and deep learning, and relates to the field of electrocardiosignal data processing. The multi-stage adaptive filtering module comprises a baseline drift elimination unit, a power frequency interference suppression unit and a myoelectricity noise removal unit, and all the units are connected in sequence to form pipelined parallel processing; the deep learning fusion module is used for performing deep feature extraction and noise classification on the output signal and feeding back a classification result to the multi-stage adaptive filtering module; the signal quality evaluation module carries out quality evaluation on the electrocardiosignals subjected to multi-stage adaptive filtering and deep learning fusion and judges whether the signal quality is qualified or not; a feature enhancement and standardization module; the technical effects of improving the self-adaptability and robustness, improving the calculation efficiency of heart disease classification, the signal fidelity and the diagnosis reliability, and enhancing the signal quality evaluability and the self-adaptive ability are achieved.

The invention discloses a multi-mode-based flexible wearable heart function monitoring method, system and device, and relates to the technical field of health monitoring, and the method comprises the steps: outputting a multi-mode signal through a flexible patch sensing module when the flexible patch sensing module is arranged in a detection area; wherein the flexible patch sensing module comprises an electrocardio sensor, a pulse wave sensor, a heart sound sensor, a strain sensor and a microfluidic biosensor. According to the invention, high-precision synchronous signal acquisition is realized through flexible patch integrated multi-modal sensing, heart multi-source signal features are adaptively extracted in combination with a multi-scale convolutional neural model, and timing sequence relevance is captured by using a bidirectional long-short-term memory network, so that the accuracy and reliability of heart disease diagnosis are remarkably improved, and the accuracy and reliability of heart disease diagnosis are improved. Meanwhile, non-invasive and continuous monitoring and early pathological screening are supported.

The invention relates to the technical field of electrocardiosignal analysis, and discloses a long-sequence electrocardiosignal disease recognition system based on a Transform architecture. The core defects that in traditional electrocardiogram analysis, waveform integrity is damaged by fixed window segmentation, a lead space topological relation is neglected, and long sequence modeling efficiency is low are overcome, a P-QRS-T waveform structure is completely reserved through the heart beat adaptive segmentation technology, and the fixed window truncation risk is eliminated; the lead anatomical topology and the space-time coding are fused, and multi-lead electrophysiological association is modeled; long sequence efficient processing is realized based on hierarchical sparse Transform, and the recognition sensitivity of complex pathologies such as arrhythmia and myocardial ischemia is improved; in combination with gradient directional regulation and control and a streaming processing mechanism, the clinical real-time requirement is met while the diagnosis accuracy is guaranteed, and finally, reliable, efficient and universal intelligent decision support is provided for early warning of heart diseases through lightweight deployment of an adaptive mobile terminal.

This document provides devices and methods for the treatment of heart conditions, hypertension, and other medical disorders. For example, this document provides devices and methods for treating atrial fibrillation by performing thoracic vein ablation and / or electroporation procedures, including pulmonary vein myocardium ablation. In some embodiments, the ablation and / or electroporation is delivered in differing areas in and / or around the pulmonary vein in coordination with each other for enhanced efficacy.

Systems and methods and devices are provided for treating conditions such as heart failure and / or pulmonary hypertension by at least partially occluding flow through the superior vena cava for an interval spanning multiple cardiac cycles. A catheter with an occlusion device is provided along with a controller that actuates a drive mechanism to provide at least partial occlusion of the patient's superior vena cava, which reduces cardiac filling pressures, and induces a favorable shift in the patient's Frank-Starling curve towards healthy heart functionality and improved cardiac performance. The occlusion device may include a lumen obstructed by a relief valve that may permit fluid flow through the occlusion device to release an excessive build-up of pressure.

The invention discloses a hierarchical OvO-SVM nondestructive testing method for the attack degree of potato blackheart disease, which comprises the following steps: preparing a detection sample, and collecting a VIS / NIR original transmission spectrum; preprocessing the collected original spectrum; adopting a random forest algorithm to screen sensitive wavebands; a two-stage hierarchical classification framework is constructed, health / disease coarse classification-disease degree subdivision is carried out, cross validation type Platt calibration is carried out on decision scores of each group of SVMs, and corresponding probabilities are output; according to the method, a classification threshold value is introduced, the final grade of the morbidity degree is judged through the maximum value of a pseudo probability / threshold value, and through the technical path of spectrum preprocessing, sensitive band screening, two-stage hierarchical modeling, probability calibration and classification threshold value shaping, hierarchical modeling and OvO local boundary learning are utilized to judge the morbidity degree. According to the method, the boundary confusion problem of'health-light 'and'moderate-heavy' is remarkably relieved, the spectrum dimension is reduced by screening sensitive wavebands, and accurate grading of the attack degree of the blackheart disease is achieved.

The invention provides a training method of a CT and DSA real-time automatic fusion registration system for structural heart disease intervention and a storage medium. The training method comprises the following steps: establishing a registration system data set; establishing an initial registration system; based on the registration system data set, training an initial registration system to obtain a trained CT and DSA intraoperative registration system; and inputting the preoperative CT image data and the intraoperative real-time DSA image data of the person to be identified into the trained CT and DSA intraoperative registration system to obtain an intraoperative real-time fusion navigation image and intraoperative risk graphical prompt information. According to the method, cross-modal and cross-time-point dynamic registration can be realized, higher-precision intraoperative navigation support is provided for structural heart disease intervention, the operation safety is improved, and radiation exposure is reduced.

The present invention relates to a D-galactopyranose compound of formula (1)whereinthe pyranose ring is α-D-galactopyranose, and these compounds are high affinity galectin-1 and / or galectin 3 inhibitors for use in treatment of inflammation; fibrosis; scarring; keloid formation; aberrant scar formation; surgical adhesions; septic shock; cancer; metastasising cancers; autoimmune diseases, metabolic disorders; heart disease; heart failure; pathological angiogenesis; eye diseases; atherosclerosis; metabolic diseases; diabetes type I; diabetes type II; insulin resistance; Diastolic heart failure; asthma; liver disorders.

A prosthetic heart valve for the treatment of structural heart disease wherein the prosthetic heart valve includes an expandable frame that a) has an open cell geometry in the frame of the prosthetic heart valve that can be used to reduce delivery system size, b) has high radial strength, c) has improved restoration of the physiologic EOA, d) has lower recoil, e) has little or no longitudinal foreshortening, f) allows for proper placement of the bioprosthetic valve in relation to the native commissures of the valve, h) has symmetrical and cylindrical expansion of the prosthetic valve resulting in lower rates of leaflet thrombosis and structural valve deterioration, and / or i) prevents allergic response and restenosis associated with nickel content.

The invention provides an application of human source circular RNA hsacirc0083796 in preparation of a diagnostic reagent or a medicine for diagnosing and / or treating aortic dissection. The invention also provides a kit for diagnosing the aortic dissection. The invention also provides a pharmaceutical composition for treating aortic dissection. According to the application of the human source circular RNA in preparation of heart disease related products, the related heart disease related circular RNA (circled-Frizzled class receptor 3, hsacirc0083796) is one of circular RNAs with the highest expression quantity in the blood of aortic dissection patients and has high conservative property, the function of the circular RNA is closely related to heart diseases, and the circular RNA has a good application prospect in preparation of heart disease related products. The method has great significance in diagnosis and treatment of heart diseases. Meanwhile, due to the stable and specific properties of the circular RNA, compared with other types of markers, the circular RNA has larger abundance in body fluid of a patient and more obvious change, so that the circular RNA has the potential of becoming a novel diagnostic marker.

The invention relates to the technical field of health monitoring, in particular to an electrocardiograph monitoring intelligent diagnosis system based on deep learning and multi-modal fusion technology, which is characterized in that a multi-modal synchronous sensing unit synchronously acquires ECG, PCG and PPG data streams with aligned timestamps, and an edge intelligent diagnosis unit operates a lightweight model with the parameter smaller than 1MB, so that the ECG monitoring intelligent diagnosis system is obtained. The cloud fusion analysis unit is used for dynamically fusing multi-source data by adopting a cross-modal attention mechanism to generate a ventricular fibrillation probability PVF, and the dynamic collaborative decision-making unit is used when R is equal to III or Cilt, and the cloud fusion analysis unit is used for dynamically fusing the multi-source data by adopting a cross-modal attention mechanism to generate a ventricular fibrillation probability PVF; deep diagnosis, PVFgt, is triggered within 5 seconds at 0.9; and when 0.95, a third-level audible and visual alarm is triggered, and the closed-loop optimization unit continuously optimizes the model by distilling and compressing the misdiagnosis sample. According to the intelligent diagnosis system for electrocardiograph monitoring, rapid edge diagnosis is achieved through a lightweight model, critical cases can respond rapidly through cloud cooperation, and the accuracy and timeliness of heart disease diagnosis are improved.

This invention discloses a cardioprotective compound composition and its preparation based on improving the absorption rate of coenzyme Q10, relating to the fields of pharmaceuticals and functional foods. The core active ingredients of this composition consist of coenzyme Q10, vitamin E, and black pepper extract, with a specific mass ratio range for each. It can also be combined with pharmaceutically acceptable carriers and antioxidant synergists to prepare various oral formulations. This invention, through the construction of a ternary active component with a specific ratio, achieves in vivo synergistic effects on absorption promotion and antioxidant regeneration, solving the technical problems of low oral bioavailability and insufficient accumulation of myocardial-targeted activity in existing coenzyme Q10 preparations. It significantly improves the conversion efficiency of coenzyme Q10 into a usable active form for cardiomyocytes and can be widely applied in the preparation of drugs and functional foods for the prevention or treatment of heart diseases.

The present application relates to the field of microbiological technology, and particularly relates to a pathogenic bacterium causing root rot symptoms of red heart disease of Astragalus membranaceus and application thereof, the pathogenic bacterium is Fusarium sp. Fusarium sp. FUS-001-2025, preserved in China General Microbiological Culture Collection Center on March 16, 2026, with the preservation number of CGMCC No. 42529; it is determined to be a new recorded strain of Fusarium sp. through morphological and molecular identification, and the bactericide sensitivity determination shows that 25% silthiofam·prochloraz has the strongest inhibition effect, 25% bromothalonil, 50% azoxystrobin and 70% methylthiophanate have significant inhibition at high concentrations. The present application provides an important pathogenic bacterium resource for the pathogenic mechanism, disease resistance evaluation and development of control agents of red heart disease of Astragalus membranaceus.

The utility model relates to the technical field of interventional medical instrument in-vitro simulation demonstration, in particular to a structural heart disease interventional medical instrument in-vitro simulation demonstration device. The device comprises a model fixing device (3), a heart model (31) and a detachable valve leaflet model (32) are fixed on the model fixing device (3), a camera (5) is further arranged on the device, and the device can be used for simulation device demonstration of heart valve intervention medical instrument in-vitro performance research, instrument operation training of an operator in vitro and operation process practice.

The present application relates to the technical field of detection of fruit core rot, and discloses a detection method capable of improving the detection accuracy of fruit core rot, comprising the following steps: forming aggregated light by two parallel weak light sources, combining the two aggregated lights, and forming a parallel light with uniform intensity, large amplitude and wide range by another concave lens after the combined light source, the parallel light is received by an optical fiber after passing through the fruit, and the fruit core rot is detected by analyzing the spectral information. The two weak parallel light sources are formed into aggregated light after passing through the lens, the use efficiency of the single weak light source is improved, each aggregated light is combined into a strong sector light source, and a uniform parallel light is formed after setting a concave lens in front of the sector light source convergence point. The parallel light has uniform intensity and wide range, and the spectral information received by the receiving end optical fiber at different positions has small difference. The overall light path has small construction range, is different from the traditional method, and the consistency and effectiveness of the light source passing through the fruit are obviously improved, and the fruit core rot detection accuracy is improved.

The invention relates to a heart disease patient health intelligent monitoring system. The system comprises a medical data acquisition module, a data preprocessing module, a feature extraction model construction module, a monitoring model construction module and a health monitoring module. According to the invention, original data is obtained through data acquisition; a data preprocessing method including space-time alignment, key event extraction, knowledge graph construction, irregular sampling processing and data set segmentation is adopted; an integrated learning model is adopted as a feature extraction model, and through multi-modal feature extraction and a dynamic weight distribution mechanism, the discrimination ability of feature expression is remarkably improved, and the limitation of processing a complex medical scene by a single model is overcome; an improved graph convolution model is adopted as a monitoring model, through dynamic construction of relation topology and injection of domain knowledge, in combination with a time decay mechanism and nonlinear monitoring activation design, time sequence dependence of health risk evolution and asymmetric cost characteristics of medical decision are captured, and the reliability of health monitoring is improved.

The invention belongs to the technical field of medical information processing, and particularly discloses a regression model establishment method and system for detecting related indexes of myocardial cells of Wuzhishan pigs by using blood biochemical indexes, and the method comprises the following steps: collecting blood and heart tissue samples of the Wuzhishan pigs at different month ages, detecting the blood biochemical indexes including liver function, blood fat and blood sugar indexes, and establishing a regression model for detecting the related indexes of myocardial cells of the Wuzhishan pigs. Related indexes of myocardial cells; analyzing the index expression quantity difference, and screening significant difference indexes; then calculating the correlation between the remarkably different blood biochemical indexes and myocardial cell related indexes, and determining high-correlation blood biochemical indexes; and finally, constructing a first version of multiple regression model by respectively taking the myocardial enzyme index and the myocardial cell related index as dependent variables and the high-correlation blood biochemical index as an independent variable, removing outliers and updating the sample set on the basis of the first version of multiple regression model, and constructing a second version of multiple regression model by utilizing the new sample set, and on the basis of the second version of multiple regression model, constructing a third version of multiple regression model by adopting a stepwise regression method. According to the method, related indexes of myocardial cells can be accurately deduced through blood biochemical indexes, and support is provided for Wuzhishan pig heart disease research and model animal research and development.

The invention discloses a signal acquisition system of a self-adaptive film electrode patch for heart diseases, and relates to the technical field of medical instruments, the signal acquisition system comprises a flexible substrate, a nano electrode wire, an electrode patch and a circuit module; a bonding layer is arranged on the bottom surface of the flexible substrate, an anti-allergic medicine is distributed in the bonding layer, and the flexible substrate is used for being attached to the skin surface through the bonding layer; the plurality of nano electrode wires are distributed on the bonding layer of the flexible substrate, one ends of the plurality of nano electrode wires are respectively arranged at the detection points, the other ends of the plurality of electrode wires are connected with the circuit module, and the circuit module is used for outputting electric signals collected by the electrode paste; the electrode patch comprises a flexible conductive base layer and a contact layer, a printed circuit is arranged on one side of the flexible conductive base layer, the contact layer is attached to the printed circuit, the other side of the flexible conductive base layer is used for being bonded to a flexible substrate and located at a detection point, and the flexible conductive base layer is conducted with the nano electrode wire; the collection system is simple to operate, and solves the problems that an existing lead wire is easy to wind, the surgical field is affected, and skin allergy is caused by patch. The method has high use value and popularization value.

The present application relates to the technical field of medicine, and specifically includes the application of immunosuppressants in the preparation of drugs for treating pulmonary hypoperfusion type congenital heart disease, and further provides a premature infant pulmonary hypoperfusion animal model, and results show that lung development is significantly improved after using immunosuppressants. The present application verifies the Wnt pathway which is critical for lung development, indicates that immunosuppressants can improve the Wnt pathway changes caused by pulmonary hypoperfusion, confirms that immunosuppressants have a therapeutic effect on the pulmonary hypoperfusion type congenital heart disease caused by pulmonary hypoplasia, provides a new method and idea for improving lung development of such children, and thereby improves the long-term survival quality of congenital heart disease children in China.

The invention provides a radiofrequency ablation instrument for treating heart diseases, and relates to the technical field of medical equipment. The radiofrequency ablatometer comprises a man-machine interaction device, a data processing device, a radiofrequency energy generating device, an ablation device, an ablation parameter acquisition device, a twelve-lead ECG signal acquisition device, an ultrasonic image acquisition device, a vital sign monitoring acquisition device and a circulating cooling device which are respectively connected with the radiofrequency energy generating device and the ablation device, the cooling device is used for supplying cooling liquid to the ablation device; the data processing device controls power output of the radio frequency energy generating device according to the twelve-lead ECG signals and ablation parameters, and the man-machine interaction device displays ultrasonic images, vital sign parameters and ECG data. According to the invention, concentrated display and linkage analysis of ultrasonic images, twelve-lead ECG signals and vital sign parameters are realized for the first time, and the device can be widely applied to percutaneous intracardiac radiofrequency ablation treatment of hypertrophic cardiomyopathy, cardiac tumor and other diseases, and has extremely high clinical application value.

The disclosure provides systems, methods, and non-transitory computer readable media for non-invasively assessing cardiac pressure and efficiency. An example computer implemented method includes: receiving patient-specific image data of a cardiac chamber of a patient, the patient-specific image data acquired from an imaging modality over a cardiac cycle; receiving patient-specific vitals data; deriving non-invasive cardiac parameters from the patient-specific image data and the patient-specific vitals data; applying the non-invasive cardiac parameters to a trained model to generate: a total energy output for blood flow out of the cardiac chamber during the cardiac cycle, and a total energy input for blood flow into the cardiac chamber during the cardiac cycle; and generating, in real time, based on a ratio of the total energy output to the total energy input, a patient-specific cardiac efficiency value for the cardiac chamber, the patient-specific cardiac efficiency value classifying a severity of a heart disease of the patient.

The present invention relates to a detection and alert system for a garment (G) and an application module (APP) which comprise means for triggering an on-demand ECG recording, the application module (APP) being configured - to allow the storage of personal and medical data of the patient, as well as of at least one prior reference ECG recording, - to transmit, to a remote interface module (MD), an alert message (ME) containing thus stored personal data and medical data, - the reference ECG recording also stored, and - the on-demand ECG recording that has been performed.

The utility model discloses a horizontal rehabilitation device for heart disease, which comprises a base, an adjustably arranged pedal assembly arranged on one side of the base and a lying table arranged on the other side of the base, the pedal assembly comprises a support arranged on the base, a lapping plate is arranged on the support, and the lapping plate is arranged on the base. A connecting frame capable of adjusting the placing angle is hinged to the lapping plate, and a rotating wheel with a pedal plate is arranged on the connecting frame; a handheld assembly is further arranged on one side of the support and comprises a supporting frame arranged on the support and a traction belt assembly arranged on the supporting frame in an adjustable mode. The rotating wheels with the pedal plates are adjustably arranged to adapt to the leg length of a patient, the traction belt assembly is arranged to be matched with upper limb exercise of the patient, anaerobic exercise of muscle strength is facilitated, comprehensive recovery of the heart after an operation is facilitated, the structure is simple and compact, and use is flexible.

The invention relates to the technical field of biological medicines, in particular to application of a monoclonal antibody in medicines for treating heart diseases related to Alzheimer's disease. According to the application disclosed by the invention, the application range of the lencanamazumab is expanded to prevention and treatment of AD-accompanied heart failure and pathological myocardial remodeling, and a new drug strategy is provided for treatment of patients with AD-associated heart failure or pathological myocardial remodeling.

Systems and methods and devices are provided for treating conditions such as heart failure and / or pulmonary hypertension by at least partially occluding flow through the superior vena cava for an interval spanning multiple cardiac cycles. A catheter with an occlusion device is provided along with a controller that actuates a drive mechanism to provide at least partial occlusion of the patient's superior vena cava, which reduces cardiac filling pressures, and induces a favorable shift in the patient's Frank-Starling curve towards healthy heart functionality and improved cardiac performance. The occlusion device may include a lumen obstructed by a relief valve that may permit fluid flow through the occlusion device to release an excessive build-up of pressure.

The present invention provides novel 4-methylsulfone-substituted piperidine / urea compounds useful for the treatment of dilated cardiomyopathy (DCM) and conditions associated with left and / or right ventricular systolic dysfunction or systolic reserve. The synthesis and characterization of the compounds, as well as methods for the treatment of DCM and other forms of heart disease, are described.

To provide a new ultrasonic irradiation device capable of achieving simple operability and being used for treatment of a heart disease.SOLUTION: The ultrasonic irradiation device 100 of the present invention is a flexible sheet-like member attached to the body surface of the chest of a person, and includes at least a probe 10 capable of transmitting ultrasonic waves, and a control unit 11 or a control device 1 that controls the probe 10 to transmit ultrasonic waves from the probe 10 at a predetermined intensity and interval. The widthwise size of the probe 10 in the direction orthogonal to the thickness direction is a size across two ribs and is equal to or larger than the 50mm.SELECTED DRAWING: Figure 5

The present application relates to a culture method and application of cardiac progenitor cells with myocardial and epicardial dual differentiation potential. Specifically, the present application provides cardiac progenitor cells with myocardial and epicardial dual differentiation potential, and provides a culture medium and culture method for inducing human pluripotent stem cells to differentiate into the dual potential cardiac progenitor cells, and further provides a method for differentiating the dual potential cardiac progenitor cells into myocardial cells and / or epicardial cells. The present application provides a new cell model for the development process and principle research of early cardiac lineage, and has a wide application prospect in the field of cell therapy and regenerative medicine related to heart diseases.