15 results about "Pulmonary vein" patented technology

A gap between a plurality of ablation sites in a heart that hinders electrical propagation therethrough is found by projecting the locations of the sites in a 3-dimensional coordinate system onto a simulation plane, identifying a set of shortest 3-dimensional paths that correspond to 2-dimensional connections between pairs of the projected locations of the sites, and reporting a gap as a longest one of the set.

The present technology relates to standardized coordinate systems for mapping three-dimensional structures. An exemplary method includes: obtaining imaging data including a representation of a left atrium of a subject; identifying anatomical features represented in the imaging data, the anatomical features including pulmonary veins that connect to the left atrium; generating a 3D surface mesh corresponding to the left atrium; determining a reference point on the 3D surface mesh based on locations of junctions of the pulmonary veins with the left atrium; establishing a reference axis based on the reference point; determining, on the 3D surface mesh and based on the reference axis, lines of longitude; determining, on the 3D surface mesh, lines of latitude along the lines of longitude; assigning coordinate values to points on the 3D surface mesh based on the lines of longitude and latitude; and generating a 2D map of the left atrium using the coordinate values.

A method of cardiac treatment to provide a synergetic therapeutic effect of lowering the hyperactive sympathetic response observed in microvascular disease (MVD) and heart failure (HF) pathologies and promoting cardiac remodeling of left ventricular hypertrophy in a patient. The method may include ablating renal sympathetic nerves of the patient to reduce sympathetic afferent and efferent activity to the kidney, thereby reducing blood pressure, and ablating a greater splanchnic nerve to reduce stressed blood volume with exertion. The method may include ablating renal sympathetic nerves of the patient to reduce sympathetic afferent and efferent activity to the kidney, thereby reducing blood pressure and at least one of: ablating pulmonary artery nerves of the patient to reduce cardiac sympathetic activity; and ablating pulmonary vein nerves of the patient to reduce arrhythmias.

A method of sensing a physiological parameter involves advancing a delivery catheter to a right atrium of a heart of a patient via a transcatheter access path, advancing the delivery catheter through an atrial septal wall into a left atrium of the heart, deploying a distal anchor of a sensor implant device from the delivery catheter, anchoring the distal anchor of the sensor implant device to a first pulmonary vein, withdrawing the delivery catheter from the first pulmonary vein, thereby exposing at least a portion of a sensor module of the sensor implant device in the left atrium, deploying a proximal anchor of the sensor implant device from the delivery system, anchoring the proximal anchor of the sensor implant device to a second pulmonary vein, and withdrawing the delivery catheter from the heart.

The invention provides a cattail pollen content prediction method and system based on a hyperspectral double-flow multi-scale CNN, and belongs to the field of quality detection of traditional Chinese medicinal materials. The method comprises the following steps: acquiring hyperspectral image data of a pollen typhae sample, preprocessing the acquired hyperspectral image data, and extracting region-of-interest spectral data of the pollen typhae sample; inputting the extracted spectral data of the region of interest into a trained double-flow multi-scale residual fusion CNN model, performing multi-scale feature extraction and fusion by using a VNIR multi-scale branch and an NIR multi-scale branch, and outputting multi-scale fusion features; inputting the multi-scale fusion features into an attention fusion module, and outputting final fusion features; and based on the final fusion features, outputting a content prediction value of the active ingredients of the pollen typhae through a content prediction layer. The method solves the problems that a traditional detection method is low in efficiency, samples are damaged, and an existing spectrum model ignores wave band characteristic differences, so that precision is insufficient, and rapid, lossless and high-precision prediction of the pollen typhae content is achieved.

The application discloses an ex vivo heart perfusion system and a perfusion control method, wherein the perfusion system comprises: an organ bin, which is externally provided with a constant temperature heating film for controlling the temperature in the organ bin to be a first preset temperature threshold; a liquid storage container for containing a perfusion medium, an outlet end of the liquid storage container being connected to a first active branch vein through a first liquid supply pipe and connected to a pulmonary vein through a second liquid supply pipe, an inlet end of the liquid storage container being connected to a second active branch vein through a first liquid return pipe and connected to a pulmonary artery through a second liquid return pipe; a circulating pump connected to the first liquid supply pipe; an oxygenator connected to the first liquid supply pipe, the oxygenator being connected with a gas supply module for adjusting the gas mixing ratio in the perfusion medium; and an injection pump group for supplementing injection of nutrient substances or therapeutic drugs. The application can effectively prolong the heart supply storage time, reduce the heart supply discard rate, and further improve the utilization rate of the heart supply.

The application provides a lung recognition processing method and device and a server, relates to model processing technology, and the method comprises the following steps: obtaining a model recognition instruction, the model recognition instruction comprises a lung model identifier, determining a lung model corresponding to the lung model identifier, and the lung model comprises a lung parenchyma model, a trachea model, a pulmonary vein model and a pulmonary artery model. Based on the growth information of at least one of the trachea model, the pulmonary vein model and the pulmonary artery model, a plurality of initial segmentation cross sections of the lung parenchyma model are determined. According to at least one of the intrasegment trachea, intrasegment vein and intrasegment artery in each initial lung segment, a plurality of target segmentation cross sections of the lung parenchyma model are generated. According to the target segmentation cross sections of the reconstructed lung model, the distribution information of each lung segment can be obtained, thereby helping to improve the accuracy of the surgical plan, reduce the surgical risk index, improve the surgical success rate, and solve the technical problem that it is difficult to recognize the distribution of the intrapulmonary trachea, blood vessels and lung segments.

A device for providing cardiac treatment at the left atrium of a patient's heart. The device includes a retention body and a prosthetic valve. The retention body has a shape that can be manipulated between a collapsed state and a normal or expanded state. First and second openings are defined at one side of the retention body, and a lower opening is defined at an opposite side. The prosthetic valve is carried by the retention body at the lower opening. The retention body is configured to engage a substantial portion of an interior surface of the left atrium, securing the prosthetic valve at a desired location relative to a native mitral valve (e.g., within the mitral valve or slightly spaced from the mitral valve). The first and second openings are sized and shaped so as to permit blood flow from the pulmonary veins into the interior region.

A gap between a plurality of ablation sites in a heart that hinders electrical propagation therethrough is found by projecting the locations of the sites in a 3-dimensional coordinate system onto a simulation plane, identifying a set of shortest 3-dimensional paths that correspond to 2-dimensional connections between pairs of the projected locations of the sites, and reporting a gap as a longest one of the set.

This invention provides a pulsed electric field ablation system, including an ablation catheter and an ablation device, with the ablation catheter connected to the ablation device. The ablation catheter includes an operating handle, a catheter body, and a treatment head. The operating handle is located at the proximal end of the catheter body, and the treatment head is located at the distal end of the catheter body. The proximal end of the operating handle is connected to the ablation device via a tail wire. The ablation device includes a control system that can control and switch each set of electrodes for impedance measurement or ablation. By measuring voltage and current values ​​using AC signals, the impedance between electrodes is calculated. The impedance value is used to determine whether the electrodes are in good contact with the myocardial tissue. Good contact improves the effectiveness of ablation energy reaching the target point. Different electrode pairings are achieved through a switching circuit. Then, the optimal electrode combination is selected for discharge based on the judgment, forming a transverse, vertical, oblique, and intermittent discharge electric field, thus obtaining the optimal surgical ablation plan for different pulmonary vein morphologies.

The present disclosure relates to the technical field of medical images, and discloses a lung lesion identification method and device and an electronic device. The method comprises: acquiring a scan image of a patient's lung, identifying a pulmonary artery region and a pulmonary vein region of the lung in the scan image; acquiring a size parameter of each blood vessel in the pulmonary artery region and the pulmonary vein region, calculating a blood vessel feature of each blood vessel region according to the size parameter of each blood vessel in the pulmonary artery region and the pulmonary vein region; fusing the blood vessel feature of each blood vessel region with a previously acquired lung parenchyma structure feature of the patient's lung to obtain a fused feature; and inputting the fused feature into a previously trained classifier to identify a lung lesion evaluation result of the patient. The above method distinguishes the pulmonary artery and vein, quantifies the features, fuses the emphysema and airway multi-dimensional lesion indicators, and improves the comprehensiveness and accuracy of lung lesion identification. Meanwhile, the method does not require complex data support, simplifies the process, and reduces application costs.

This invention proposes a method and system for predicting the content of Typha pollen based on a hyperspectral dual-stream multi-scale CNN, belonging to the field of quality detection of traditional Chinese medicinal materials. The method includes: acquiring hyperspectral image data of Typha pollen samples; preprocessing the acquired hyperspectral image data and extracting the region of interest (ROI) spectral data of the Typha pollen samples; inputting the extracted ROI spectral data into a trained dual-stream multi-scale residual fusion CNN model, using VNIR and NIR multi-scale branches for multi-scale feature extraction and fusion, and outputting multi-scale fused features; inputting the multi-scale fused features into an attention fusion module, and outputting the final fused features; based on the final fused features, outputting the predicted content of the effective components of Typha pollen through a content prediction layer. This invention solves the problems of low efficiency, sample destruction, and insufficient accuracy caused by existing spectral models ignoring band characteristic differences in traditional detection methods, achieving rapid, non-destructive, and high-precision prediction of Typha pollen content.

An apparatus for prediction of repeat ablation efficacy, the apparatus including an electrocardiogram device, wherein the electrocardiogram device is configured to detect post-ablation arrhythmic electrocardiogram (ECG) data representative of a post-ablation arrythmia of a patient who has previously undergone an ablation procedure and a processor configured to receive, from the electrocardiogram device, the post-ablation arrhythmic ECG data predict, using a repeat-ablation efficacy machine-learning model, a determination of a pulmonary vein reconnection by identifying features within the post-ablation arrhythmic ECG data that are historically representative of pulmonary vein reconnection determinations and transmit, for display, the determination.

The instant disclosure relates to electrophysiology catheters for tissue ablation within a cardiac muscle, for example. In particular, the instant disclosure relates to an electrophysiology ablation balloon catheter with a combination of coated and uncoated surfaces for focusing ablation energy at a desired portion of tissue.