474 results about "Left Ventricles" patented technology

Apparatus and methods are described including delivering a left-ventricular assist device to a subject's aorta. The device including a distal-tip element that defines a straight proximal portion, and a curved distal portion, the curved distal portion defining first and second curves with an elongated straight portion between the first and second curves. The distal-tip element is centered with respect to the aortic valve using the curved distal portion of the distal-tip element, to thereby guide the device through the subject's aortic valve atraumatically. A pump pumps blood through from the subject's left ventricle to the subject's aorta. Other applications are also described.

Apparatus and methods are described including delivering a left-ventricular assist device to a subject's left ventricle. A tube is positioned such that a proximal portion of the tube traverses an aortic valve of the subject, and a distal portion of the tube is disposed within a left ventricle of the subject. A pump pumps blood through the tube from the subject's left ventricle to the subject's aorta such as to cause the proximal portion of the tube to be maintained in an open state, and to cause at least a portion of the tube to become curved. Other applications are also described.

Apparatus and methods are described including a ventricular assist device that includes an impeller configured to be placed inside a left ventricle of a subject. A driving magnet is coupled to a motor and is rotated by the motor. A driven magnet is magnetically coupled to the driving magnet and is rotated by the driving magnet. A drive cable extends from the driven magnet and imparts rotational motion from the driven magnet to the impeller. A set of sensors is configured to detect a magnetic phase difference between the driven magnet and the driving magnet. A computer processor receives the detected magnetic phase difference and determines a physiological parameter of the subject, at least partially in response thereto. Other applications are also described.

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.

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.

Methods and systems are provided for identifying cardiac cycles for evaluating left ventricle function using only image data. In one example, a method includes obtaining a sequence of medical image frames of a heart of a patient over a plurality of cardiac cycles, wherein each medical image frame depicts the same apical view of the heart, using a timing model to generate an output that is useable to label each frame of the sequence by cardiac cycle subphase and using the output to determine the suitability of each cardiac cycle for performing an automated measurement. The method may further include using the suitability of each cycle to determine if an automated measurement should be performed on each cycle, where automated measurements are performed on medical image frames corresponding to suitable cycles and automated measurements are not performed on medical image frames corresponding to unsuitable cycles.

A non-invasive diagnostic system assesses the optimal timing for aortic valve replacement (AVR) by quantifying left-ventricular Frank-Starling reserve before irreversible myocardial damage occurs. The system (i) acquires left-ventricular ejection time (LVET) and other systolic-time intervals from optical or vibrational sensors positioned on the patient, (ii) induces a reversible preload change—e.g., passive leg raise or posture transition—to create a controlled venous-return increment, (iii) processes the paired baseline and post-maneuver waveforms to extract systolic time interval metrics, and (iv) analyzes the ΔLVET / Δpreload relationship against historical or population references. A diminished LVET response signals loss of contractile reserve, enabling timely AVR while myocardial changes remain reversible. The platform integrates measurement hardware, a data-processing engine, a data-analysis module, and a reporting interface, and may be configured as a wrist, ring, chest, or ear sensor. The method can be implemented at point-of-care without operator-dependent imaging or invasive monitoring.

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 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.

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.

Existing techniques fail to propose a method for improving model parameters optimization and seamless integration of clinical data with computational model required for personalized cardiac hemodynamic model development. This disclosure relates to a system and method, which receives one or more model parameters comprising height, active pressure components and passive pressure components specific to left ventricle from cardiac hemodynamic model. The first set of values corresponding to one or more input parameters comprising end systolic diameter and end diastole diameter are received from subject specific Echo data. The second set of values corresponding to one or more model parameters are estimated using one or more input parameters. The estimated second set of values are optimized using a Particle swarm optimization to obtain one or more optimized values. Select at least a subset of optimized one or more values corresponding to one or more model parameters for personalization.

Systems, devices and methods are provided for supporting cardiac function. A device comprises an elongate housing configured for implantation into a patient exterior to the chest cavity. The housing includes a first inlet and an outlet that define a primary blood flow path from the left atrium through at least a portion of the housing within the right atrium, and to the aorta. The housing comprises a motor disposed within the housing and an impeller coupled to the motor for pumping blood from the first inlet to the outlet of the housing through the primary blood flow path. The device bypasses the left ventricle by drawing freshly oxygenated blood from the left atrium and propelling this blood directly into the aorta. Implanting the pump exterior to the chest cavity is less invasive and allows the pump to be quickly and easily repaired, cleaned, repositioned and or replaced without removing or replacing the tubes that are anchored to sensitive tissue structures within the thoracic cavity.

The invention relates to a catheter pump position judgment device and method, a catheter pump, a ventricular assist system, a storage medium and equipment.The catheter pump position judgment device comprises a sampling module, a processing module and a judgment module, and the sampling module is configured to collect operation data of a driving motor of the catheter pump in the conveying process; the operation data at least comprises rotating speed data; the processing module is configured to determine a range value of the rotating speed data; the judgment module is configured to determine the position state of the catheter pump according to the comparison result of the range value and a preset threshold value. The method does not need to depend on an additional pressure sensor or multiple times of radiography, and can judge whether the catheter pump is located in the aorta, the transvalvular position or the left ventricle by collecting the rotating speed data of the driving motor and analyzing the range value of the rotating speed data.

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.

The invention provides a processing method and device based on a heart three-dimensional image, equipment and a medium. The processing method comprises the steps of obtaining three-dimensional image data of a heart; performing heart chamber segmentation according to the three-dimensional image data to obtain structure information of each area of the heart; determining the long axis of the left ventricle and the inner diameter and the outer diameter of the cardiac muscle according to the structural information; constructing a three-dimensional mapping of the myocardial wall thickness, and reflecting the form distribution of the myocardium in the space; segmenting the myocardium according to the three-dimensional mapping of the myocardial wall thickness and the long axis to generate segmented region data; and training and outputting a cardiomyopathy classification model through a pre-trained classification model in combination with the segmented region data. According to the method, feature vectors after dimension reduction are utilized to train a cardiomyopathy classification model. By generating a detection report containing an abnormal region position and classification confidence, the method improves the accuracy and efficiency of cardiomyopathy auxiliary detection by fusing image processing, feature extraction and machine learning technologies.

A system for percutaneous ventriculoplasty. Anchors can be placed in the ventricular septum and the ventricular wall. Sutures tethered to the anchors can be tensioned to reduce the size of a dilated left ventricle. Multiple anchors can be positioned in the ventricular wall and the sutures can be independently tensioned to allow tailored treatment of the dilated ventricle.

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.

To provide suitable devices, systems, and methods for percutaneous pneumatic cardiac support. [Solution] The cardiac support system includes a pneumatic effector implanted beneath the pericardium and across the myocardial surface covering the patient's left ventricle. A port receives an implanted, percutaneously introduced cannula. The port is connected to supply the drive gas received from the cannula to the pneumatic effector. An external drive unit includes a pump assembly and a control circuit that operates the pump to activate the pneumatic effector in response to the patient's sensed cardiac rhythm. A connecting tube has a pump end connected to the pump and a percutaneous port connection end attached to the implantable port.

The present invention discloses a closure device for mitral valve leaflet repair, which relates to the technical field of mitral valve leaflet repair. The present invention includes an upper jaw assembly, one side of the upper jaw assembly is set to an opening shape, and a positioning clamp assembly is slidably connected to the inner wall of the opening. The end of the positioning clamp assembly is provided with an outer protrusion, and the top of the upper surface of the outer protrusion is provided with a hook-shaped groove. The present invention utilizes the continuous abutment and approach of the closure assembly to finally connect the port with the clamp arm, thereby forming an integrated structure between the closure assembly and the two clamp arms, so that the closure assembly is connected to the bottom of the mitral valve, and the first clamp arm and the second clamp arm are connected to the top of the mitral valve. Therefore, during the systole of the heart, the mitral valve is tightly closed, preventing blood from the left ventricle from flowing back to the left atrium, thereby ensuring that blood can be pumped from the left ventricle into the aorta in the correct direction, and the closure assembly can be closed without relying on external force. Compared with the existing technology, the external operating structure for controlling the turning is saved.

A deep learning model for the detection of obstructive coronary artery disease (CAD) can take a set of polar maps and patient information as input, then output obstructive CAD scoring data, such as probabilities of obstructive CAD associated with various cardiac territories, as well as an attention map and a CAD scoring map. The model can operate agnostic of camera type used to capture the set of polar maps. The attention map indicates regions of the polar maps important to the deep learning process for that particular set of polar maps. The attention map and obstructive CAD scoring data can be used to generate a CAD scoring map showing CAD probability by segment on a standard 17-segment model of a left ventricle. The attention map and / or CAD scoring map can act as easily explainable tools for interpreting the results of a myocardial perfusion imaging study.

The present invention provides an auxiliary occlusion device for aortic valve regurgitation. The auxiliary occlusion device comprises a positioning mechanism and an auxiliary occlusion member disposed proximal to the positioning mechanism. When the positioning mechanism is released, it is secured within the aorta, positioning the auxiliary occlusion member between the aortic valves. The auxiliary occlusion device can assist the aortic valve in occluding the gap between the aorta and the left ventricle in the presence of aortic valve regurgitation, thereby reducing or preventing blood backflow through the aortic valve. Furthermore, the auxiliary occlusion device does not obstruct blood flow in the aorta during ventricular contraction.

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.