316 results about "Left ventricular size" patented technology

The systems, devices, and methods presented herein use a blood pump to obtain measurements of cardiac function. The system can quantify the functioning of the native heart by measuring certain parameters / signals such as aortic pressure or motor current, then calculate and display one or more cardiac parameters and heart function parameters, such as left ventricular pressure, left ventricular end diastolic pressure, or cardiac power output. These parameters provide valuable information to a user regarding current cardiac function, as well as positioning and function of the blood pump. In some embodiments, the system can act as a diagnostic and therapeutic tool. Providing cardiac parameters in real-time, along with warnings about adverse effects and recommendations to support cardiac function, such as increasing or decreasing the volumetric flow rate of blood pumped by the device, administering pharmaceutical therapies, and / or repositioning the blood pump allow clinicians to better support and treat cardiovascular disease.

The invention relates to the technical field of medical image analysis, in particular to a left ventricular compliance assessment method and system based on medical image.The method comprises the following steps that a planar three-dimensional coordinate from a left ventricular apex to a mitral annulus is obtained through a CT image, a thin-plate spline interpolation algorithm is called to establish a left ventricular long-axis model, the ultrasonic end-stage internal diameter is obtained synchronously, and a left ventricular compliance assessment result is obtained. And inputting the left greenhouse long axis model and the ultrasonic diastole end-stage inner diameter into an Euclidean distance calculation function to generate a left greenhouse length-diameter ratio. According to the method, a left greenhouse long axis model is constructed by integrating CT three-dimensional coordinates and ultrasonic inner diameter, the length-diameter ratio is calculated by combining Euclidean distance, point cloud registration is carried out, a myocardial wall area is segmented, local deformation is quantized by utilizing Gaussian curvature gradient, a correction factor is generated by inputting a radial basis function network, and a parameter coupling mechanism is established by fusing an aorta root angle. And optimizing the weight of the pressure-volume equation, establishing a dynamic model, and realizing a quantitative evaluation system of spatial heterogeneity and time continuity.

Coaptation assist device for repairing cardiac valves and associated systems and methods are disclosed herein. A coaptation assist device configured in accordance with embodiments of the present technology can include, for example, a fixation member configured to press against cardiac tissue proximate to a native valve annulus, and a stationary coaptation structure extending away from the fixation member. The coaptation structure can include an anterior surface configured to coapt with a first native leaflet during systole and a posterior surface configured to displace at least a portion of a second native leaflet. The device also includes at least one sensor configured to detect parameters associated with at least one of cardiac function and device functionality. The sensors can be pressure sensors configured to detect left atrial pressure and / or left ventricular pressure.

The invention provides an echocardiogram video abstraction method based on a hierarchical space-time attention mechanism, and the method comprises the steps: obtaining an echocardiogram, inputting the echocardiogram into an anatomy and physiological basic model of a key frame recognition task, and obtaining key frame information; inputting the key frame information into a multi-dimensional spatial-temporal feature extraction model to obtain feature information and frequency domain information; fusing the feature information and the frequency domain information; performing key frame enhancement processing on the fusion information by adopting an SE channel attention mechanism to obtain key frame anatomical feature expression; processing the key frame anatomical feature expression by adopting a key frame backtracking strategy and a classification network to obtain a key frame identification classification result; performing left ventricle segmentation on the classified image by adopting an improved U-Net left ventricle region segmentation network; estimating the area and volume of the left ventricle based on a segmentation result; fusing the estimated left ventricular area and volume by adopting a hierarchical attention mechanism and a cross-layer information fusion strategy to obtain a ventricular volume result; according to the method, through abstract extraction of the key information of the ultrasonic cardiac video, the clinical practicability of intelligent screening and auxiliary diagnosis of cardiovascular diseases based on ultrasonic is improved.

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 exemplified methods and systems facilitate the quantification of cardiac cycle-variability as a metric of signal quality of an acquired signal data set and the rejection, based on that quantification, of said acquired signal data set from one or more subsequent analyses that can predict and / or estimate a metric associated with the presence, non-presence, severity, and / or localization of abnormal cardiovascular conditions or disease, including, for example, but not limited to, coronary artery disease, abnormal left ventricular end-diastolic pressure disease (LVEDP), pulmonary hypertension and subcategories thereof, heart failure (HF), among others as discussed herein. The quantification of levels of cycle-variability assessed noise such as skeletal-muscle-related-signal contamination and muscle-artifact-noise contamination, and other asynchronous-noise contamination in an acquired signal can be subsequently used for the automated rejection of such asynchronous noise from measurements of biophysical signals.

Systems and methods for delivering a device for regulating blood pressure across a patient's atrial septum are provided. The delivery apparatus may include a first catheter, a hub having one or more engagers disposed thereon, the one or more engagers configured to releasably engage with a first expandable end of the shunt in a contracted delivery state within a lumen of a sheath, and an second catheter extending through a center lumen of the first catheter and the hub, wherein the first catheter, the hub, and the second catheter are independently moveable relative to the sheath. The inventive devices may reduce left atrial pressure and left ventricular end diastolic pressure, increase cardiac output, increase ejection fraction, relieve pulmonary congestion, and lower pulmonary artery pressure, among other benefits. The inventive devices also may be used to treat subjects having heart failure, pulmonary congestion, or myocardial infarction, among other pathologies.

The embodiment of the invention relates to a processing method and device for predicting ejection fraction retention type heart failure. The method comprises the steps that a deep learning model used for conducting dichotomy prediction on the ejection fraction retention type heart failure is constructed and recorded as a first prediction model; constructing a model data set and recording the model data set as a first data set; training the first prediction model based on the first data set; after model training is finished, heart structure feature analysis, heart hemodynamic feature analysis and left ventricle vortex time sequence feature analysis are conducted on four-dimensional blood flow heart magnetic resonance imaging data input by a user to obtain a corresponding structure feature set, and the hemodynamic feature set and the vortex time sequence feature form a corresponding first feature data set; and inputting the first feature data set into a first prediction model for prediction to obtain a corresponding first classification vector which is fed back to the current user. According to the invention, the prediction accuracy and the prediction efficiency can be improved.

The invention provides application of a monascus composition in preparation of a medicine for preventing and / or treating coronary microcirculation disturbance. The monascus composition comprises one or more of cortex mori, ramulus mori and folium mori, monascus and radix puerariae. When the composition containing the red yeast rice is applied to preparation of the medicine for preventing and / or controlling coronary microcirculation disturbance, the abnormal microvascular structure can be improved (myocardial microvascular density MVD is increased, edema around microvessels is relieved, the lumen stenosis phenomenon is improved, and the endothelial cell condition is good); 2) microvascular occlusion is improved (pathologic results show that microvascular contents are reduced); (3) the abnormal vasodilatation and contraction function of the microvessels is improved (NO is increased); 4) improving blood lipid metabolism disorder; and (5) the heart function is improved (the left ventricular ejection fraction LVEF and the left ventricular short axis shortening rate LVFS are improved, and the left ventricular pressure maximum rising rate LV + dp / dtmax and the left ventricular pressure maximum falling rate LV-dp / dtmax are increased).

The systems, devices, and methods presented herein use a heart pump to obtain measurements of cardiovascular function. The heart pumps described herein can operate in parallel with and unload the heart. The system can quantify the functioning of the native heart by measuring certain parameters / signals such as pressure or motor current, then calculate and display one or more metrics of cardiovascular function. These metrics, such as left ventricular end diastolic pressure (LVEDP), left ventricular pressure, and contractility, provide valuable information to a user regarding a patient's state of heart function and recovery.

A method is provided that includes inserting an inflow cannula of a left ventricular assist device (LVAD) of a LVAD system into a left chamber of a heart of a patient transeptally via a right atrium and a superior vena cava (SVC). An outflow cannula of the LVAD is coupled to a left subclavian artery or a left axillary artery. Other embodiments are also described.

The illustrative methods and systems facilitate one or more dynamic analyses that can characterize and identify synchronization between acquired cardiac signals and photoplethysmography signals to predict / estimate the presence, location, and / or severity of abnormal cardiovascular conditions or diseases, including, for example, but not limited to, coronary artery disease, heart failure (including but not limited to indicators of disease or condition, such as abnormal left ventricular end-diastolic pressure disease), and pulmonary hypertension. In some embodiments, statistical properties of the synchronization between the cardiac signal and the photoplethysmography signal are evaluated. In some embodiments, statistical properties of a histogram of synchronization between the cardiac signal and the photoplethysmography signal are evaluated. In some embodiments, statistical and / or geometric properties of a Poincare map of synchronization between the cardiac signal and the photoplethysmography signal are evaluated.

The embodiment of the invention provides a monitoring system and device of a ventricular assist device, and relates to the technical field of medical instruments.The system comprises the ventricular assist device and a monitoring device.The monitoring device executes the following monitoring method that a rotating speed signal of the current rotating speed of the ventricular assist device is obtained, and determine a first pressure signal of the left ventricular pressure of the patient's heart; based on the rotating speed signal and the first pressure signal, a target correlation value representing the correlation degree between the current rotating speed and the left ventricular pressure is calculated; and determining a target support state of the ventricular assist device based on a deviation between the target correlation value and a preset reference value. By applying the scheme provided by the embodiment, the support state of the ventricular assist device can be continuously and accurately monitored in real time.

The disclosure deals with methodology and corresponding apparatus / system subject matter for image-based estimation of left ventricular myocardial stiffness. Increased left ventricular myocardial stiffness is a key factor in the development and progression of heart failure. Despite the potential impact on the clinical management of heart failure, there is currently a lack of available techniques to assess left ventricular myocardial stiffness. To address this limitation, a simple protocol is disclosed for processing routine echocardiographic imaging data to estimate left ventricular myocardial stiffness, with protocol specification for patients at risk for heart failure with preserved ejection fraction, for both sensitivity and translational feasibility of the obtained estimates of left ventricular myocardial stiffness.

The application provides a heart valve positioning device, which comprises a first curved structure, a second curved structure, and a third curved structure. The first curved structure forms a spiral curved structure with a first size in a released state. The second curved structure forms a spiral curved structure with a second size in a released state, and the second size is greater than the first size. The second curved structure has a hollow first cavity for the first curved structure to pass through, forming the third curved structure. The distal end of the third curved structure is a free end, and the proximal end is connected with a delivery system. The third curved structure forms a spiral curved structure with a third size in a released state, and the first size is less than the third size and less than or equal to the second size. The embodiment of the application can reduce left ventricular outflow tract obstruction caused by large-scale movement of the anterior leaflet.

The invention discloses a hypertrophic cardiomyopathy (HCM) preoperative planning and operation effect evaluation method based on accurate digital labeling. The method comprises the following steps: performing digital labeling on the thickness of each wall of a left ventricle of a preoperative heart 3D digital model; according to the digital labeling result of the preoperative heart 3D digital model and the normal value of the thickness of the left ventricular wall, a doctor manually depicts the predicted resection range and confirms the predicted retention thickness; measuring the predicted resection volume, the predicted resection area and the left ventricular end diastolic volume after the predicted resection volume is resected; digitally marking the thickness of each wall of the left ventricle of the postoperative heart 3D digital model, and measuring the volume of the corresponding left ventricle in the end diastole; and taking the predicted resection range, the predicted retention thickness, the predicted resection volume, the predicted resection area and the predicted volume as first evaluation data, taking corresponding parameters of the postoperative heart 3D digital model as second evaluation data, and generating an operation evaluation result according to the conformity of the first evaluation data and the second evaluation data.

Systems and methods are provided herein for improving connections between a heart pump, such a left ventricular assist device (LVAD), and the heart and / or tubing such as a graft tube. An apical connector including a cylindrical housing and a ring support connected to the housing is described. The apical connector may include a sewing ring to be connected to the patient's heart and a spring positioned within the cylindrical housing to engage a portion of the pump and secure the apical connector to the pump. Alternatively, an apical connector may include an upper and lower housing with locks positioned in channels between the housings and may include a handle and a ring to cause the locks to engage a portion of the pump. A quick connect assembly is also described for efficiently connecting a graft tube to an outlet of a heart pump using a flange with through-holes and protrusions.

The invention relates to the field of biological medicine, in particular to application of S100A9 in treatment or detection of diabetic cardiomyopathy. The research finds that the expression of S100A9 in the heart tissue of a diabetic cardiomyopathy mouse is obviously increased. Overexpression of the S100A9 can aggravate myocardial injury and cardiac dysfunction, and inhibition of expression or activity of the S100A9 can improve illness conditions. Both the S100A9 inhibitor paquinimod and the macrophage scavenger chlorophosphonate liposome can reduce the concentration of S100A9 in serum, relieve cardiac enlargement and myocardial fibrosis and recover the left ventricular ejection fraction. In addition, the S100A9 can be used as a marker for detecting the diabetic cardiomyopathy, and related detection products can reflect the severity of the illness state by detecting the expression quantity of the S100A9 in tissue cells or body fluid. The invention provides a new target spot, medicine and detection means for treatment and detection of diabetic cardiomyopathy.

Methods and systems are disclosed for creating and using a neural network model to estimate a cardiac parameter of a patient, and using the estimated parameter in providing blood pump support to improve patient cardiac performance and heart health. Particular adaptations include adjusting blood pump parameters and determining whether and how to increase or decrease support, or wean the patient from the blood pump altogether. The model is created based on neural network processing of data from a first patient set and includes measured hemodynamic and pump parameters compared to a cardiac parameter measured in situ, for example the left ventricular volume measured by millar (in animals) or inca (in human) catheter. After development of a model based on the first set of patients, the model is applied to a patient in a second set to estimate the cardiac parameter without use of an additional catheter or direct measurement.

A device for regulating blood pressure between a patient's left atrium and right atrium comprises an hourglass-shaped stent comprising a neck region and first and second flared end regions, the neck region disposed between the first and second end regions and configured to engage the fossa ovalis of the patient's atrial septum, and a drug-eluting biodegradable material that biodegrades over time to release a drug that limits tissue overgrowth. The inventive device also may include a biodegradable material that biodegrades to offset flow changes caused by tissue overgrowth. The inventive device may reduce left atrial pressure and left ventricular end diastolic pressure, and may increase cardiac output, increase ejection fraction, relieve pulmonary congestion, and lower pulmonary artery pressure, among other benefits.

A device for regulating blood pressure between a patient's left atrium and right atrium comprises an hourglass-shaped stent comprising a neck region and first and second flared end regions, the neck region disposed between the first and second end regions and configured to engage the fossa ovalis of the patient's atrial septum; and a one-way tissue valve coupled to the first flared end region and configured to shunt blood from the left atrium to the right atrium when blood pressure in the left atrium exceeds blood pressure in the right atrium. The inventive devices may reduce left atrial pressure and left ventricular end diastolic pressure, and may increase cardiac output, increase ejection fraction, relieve pulmonary congestion, and lower pulmonary artery pressure, among other benefits. The inventive devices may be used, for example, to treat subjects having heart failure, pulmonary congestion, or myocardial infarction, among other pathologies.

Disclosed are a method for presenting cardiac myocardial strain and an ultrasound imaging apparatus, comprising: acquiring image data of myocardial segments of both left and right ventricles, and processing this data to obtain motion parameters of both left and right ventricular myocardial segments. A composite bull's-eye plot containing left and right ventricular bull's-eye subplots is displayed, wherein the left ventricular bull's-eye subplot comprises multiple left ventricular myocardial regions corresponding to the left ventricular myocardial segments and presenting motion parameters of the left ventricular myocardial segment; and the right ventricular bull's-eye subplot comprises a right ventricular myocardial region corresponding to the right ventricular myocardial segments that exclude some / all shared segments with the left ventricle and presenting motion parameters of the right ventricular myocardial segment. This configuration enables users to observe motion parameters of both ventricular myocardial segments, thereby providing comprehensive understanding of cardiac myocardial strain while enhancing clinical efficiency for doctors.

The invention provides a self-adaptive control method and device for a double-ventricle auxiliary system. The method comprises the steps that target aortic pressure detected by a first pressure sensor, target left ventricular end diastolic pressure detected by a second pressure sensor, target right atrial pressure detected by a third pressure sensor and target pulmonary artery pressure detected by a fourth pressure sensor are obtained; and determining a strategy for adjusting the left ventricular assist device or the right ventricular assist device according to the target left ventricular end diastolic pressure, the target right ventricular pressure and the target pulmonary arterial pressure when the peripheral perfusion of the target user is insufficient or the lung is over-perfused. The pressure sensors are arranged to detect the pressure of the inlets and the outlets of the left ventricular assist device and the right ventricular assist device, whether adverse events such as peripheral insufficiency or pulmonary hyperperfusion occur to a user or not is judged according to the detected pressure, and then the adverse events are relieved or even solved by adjusting the rotating speeds of the left ventricular assist device and the right ventricular assist device. And the safety of the user is greatly improved.

1. Name of the design product: Drive control mechanism. 2. Use of the design product: It is used in a left ventricular assist device to achieve synchronous or relative rotation between the mandrel and the twisting shell. 3. Design key points of the design product: Lies in the shape. 4. Picture or photo that best shows the design key points: Perspective view.

The application discloses a heart valve device and relates to the technical field of artificial heart valves, which comprises an outer valve frame and a valve leaflet assembly connected to the inside of the outer valve frame, and the outer valve frame is a ring-shaped grid frame; the outer valve frame comprises an inflow side grid frame and an outflow side grid frame arranged in sequence from an inflow end to an outflow end, and the inflow side grid frame and the outflow side grid frame form an annular recess for clamping a native valve ring on the outer periphery of the outer valve frame; the outflow side grid frame comprises a plurality of groups of grid support units connected in sequence along the circumferential direction and enclosed into a ring, and the grid support unit comprises an outer convex grid support and an inner concave grid support, and the outer surface of the inner concave grid support is arranged in a concave manner relative to the outer surface of the outer convex grid support. In this way, the anterior leaflet of the original mitral valve can be attached to the inner concave grid support, the extrusion of the outer valve frame on the anterior leaflet is reduced, the anterior leaflet is prevented from being extruded to the left ventricular outflow tract by the outer valve frame, and the outflow area of the left ventricular outflow tract is prevented from being reduced to cause obstruction.

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 invention discloses a method for measuring the pressure in the heart cavity of a mouse, and relates to the technical field of experimental animal medical detection, and the method comprises the following steps: cutting an incision of about 1cm in the neck of the mouse; placing two sutures below the common carotid artery, and ligating the common carotid artery by using the suture at the distal end; the other section of suture line is placed in the middle of the right common carotid artery, the carotid artery is lifted up, the blood filling condition is observed, an opening is formed in the blood vessel, a pressure volume catheter is inserted, and meanwhile the suture line at the telecentric end is slightly pulled backwards to prevent bleeding; the pressure volume catheter is inserted into the left ventricle through the right common carotid artery, and the left ventricle pressure maximum rising rate and the left ventricle pressure maximum falling rate are collected. By means of the carotid artery approach, serious trauma caused by thoracotomy can be prevented, and the cardiac physiology can be possibly affected by the operation. Therefore, the carotid artery approach is more suitable for a long-time pressure collection experiment.

A cardiopulmonary management system includes a multi-sensor device and a controller. The multi-sensor device includes an elongated body having a first end and a second end, a first electrode disposed at the first end of the body, a second electrode disposed at the second end of the body, an electrical circuitry disposed near a middle of the body, and a sound sensor. The multi-sensor device is configured to be disposed on a skin of a subject and to measure cardiopulmonary parameters from the subject. The controller is configured to derive a score of sound change, heart rate change, thoracic impedance change, respiratory rate change, QRS wavelength change, QT interval change, electromechanical activation time change, and left ventricular systolic time change based on the measured cardiopulmonary parameters. The controller is further configured to control an operation of the system when the derived score is greater than a threshold.

The present invention discloses a locking structure, an external anchor and a left ventricular volume reduction device. The locking structure has a locking unit, and the locking unit has: a locking member that can be pressed against a tie rod, the locking member being a three-pronged rack assembly, one prong of the rack assembly being a rack; a squeezing member that can press the locking member onto the tie rod, the squeezing member being a gear, and the gear can be rotatably engaged with the rack of the rack assembly back and forth to achieve locking and unlocking. By improving the structure of the locking structure, the present invention further reduces the risk of the external anchor slipping off the tie rod, and retrieves the external anchor by unlocking the locking structure; moreover, the locking structure and the tie rod operate locking and unlocking in the same direction, which is very convenient.

The invention discloses a biomarker combination for predicting PCI postoperative LVR of an STEMI patient and application of the biomarker combination, and belongs to the technical field of biology. The research discovers that in a left ventricular remodeling (LVR) group and a non-left ventricular remodeling group after percutaneous coronary intervention (PCI) of a patient suffering from acute ST segment elevation type myocardial infarction (STEMI), a left ventricular endocardial lower myocardial overall longitudinal strain (GLS internal) value, a lung B-line integral, a serum sFRP5 level and Apelin-13 show significant differences. Through combined prediction analysis, it is found that the GLS internal value, the lung B-line integral, the serum sFRP5 and the Apelin-13 have excellent prediction performance on whether the LVR occurs after the PCI operation of the STEMI patient or not, high-risk groups, suffering from the LVR after the PCI operation, of the STEMI patient can be accurately and efficiently recognized, intervention is conducted as soon as possible, and the life quality of the patient is expected to be improved.