17 results about "Cardiac zone" patented technology

The invention discloses a magnetic positioning type balloon and CT fusion navigation system for a pericardial interventional operation, and belongs to the technical field of medical surgical navigation and minimally invasive interventional instruments. The problems that in the prior art, the visual field of an endoscope is not clear due to pericardial fluid, and a preoperative CT three-dimensional model and an intraoperative magnetic positioning space are difficult to rapidly and accurately register are solved. According to the balloon type pericardium endoscope, the liquid is injected into the balloon to drain pericardium liquid, and a clear pericardium wall tissue image is collected; the position and the posture of an image sensor in the endoscope in a magnetic positioning space are determined; setting an in-vitro mark point on the body of the target person; constructing a three-dimensional model of the heart and pericardium region by collecting CT data of the target person containing the in-vitro mark points; calculating a registration transformation matrix between the two spaces; mapping the real-time position and posture of the balloon type pericardium endoscope into the three-dimensional model of the heart area; and generating and outputting a navigation image fusing the three-dimensional model of the heart area and the real-time position of the endoscope. The invention is suitable for the technical field of medical machinery.

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.

A chest pad that significantly reduces the occurrence of commotio cordis among athletes is disclosed. The chest pad may be utilized as a stand-alone chest protector intended to provide coverage primarily for the upper chest wall and the cardiac area. The chest pad may also be implanted into or utilized in traditional chest protectors that provide full coverage of the user's torso. The chest pad provides additional protection to the heart of the wearer such that impact in the heart area with a projectile is absorbed by the chest pad.

This invention discloses a low-pass filtered non-breath-hold saline angiography combined with cardiac mirror contrast imaging for lung perfusion imaging, belonging to the field of medical imaging technology. The method includes the following steps: S1: determining whether the subject's tidal impedance variation meets the imaging criteria; S2: injecting contrast agent into the subject to perform angiography; S3: obtaining an impedance decrease signal; S4: combining cardiac mirror contrast imaging with lung perfusion images. This invention solves the problem of low success rate of saline angiography in existing technologies, achieves separation of thoracic impedance caused by tidal breathing and thoracic impedance caused by saline angiography, reduces the influence of the cardiac region on lung perfusion images, further improves the accuracy of lung perfusion imaging, greatly reduces the interference of breath-holding on respiratory circulation, improves the simplicity of clinical application, and expands clinical application scenarios.

The invention discloses an intelligent electrocardio garment based on the flexible sensing technology and an electrocardio monitoring method.The intelligent electrocardio garment comprises a garment body, a flexible sensing unit, an edge calculation processing unit, a wireless communication unit and a power management unit, and the flexible sensing unit is arranged at the position, corresponding to a heart area, of the inner layer of the garment body; electrocardiosignals are collected by tightly attaching the flexible electrode to the human skin, the edge calculation processing unit conducts preprocessing and feature analysis on the electrocardiosignals, and the wireless communication unit transmits data to an external terminal. It can be seen that through the integrated design of the flexible sensing unit and the clothes, high-precision collection of electrocardiosignals is achieved, and the problem that traditional equipment is poor in fitting degree is solved; the edge calculation processing unit locally completes data processing and anomaly recognition, real-time early warning is achieved, and the problem of data processing lag is solved; the clothes body is made of breathable elastic fabric, and long-time wearing comfort is guaranteed.

A method of pacing a heart includes implanting a subcutaneously implantable device on a xiphoid process and / or a sternum of a patient. The subcutaneously implantable device includes a housing, a prong extending away from the housing, and a first electrode at a distal end of the prong. The method further includes contacting a Manicka Zone of Pacing on an anterior surface of the heart with the first electrode on the distal end of the prong. The Manicka Zone of Pacing is defined as an area of the heart extending 3 centimeters (1.1811 inches) laterally outward from either side of a left anterior descending artery of the heart. A pacing signal is delivered to the Manicka Zone of Pacing of the heart through the first electrode. A right ventricle and a left ventricle of the heart are synchronously paced with the pacing signal received in the Manicka Zone of Pacing.

The invention discloses a wearable monitoring system for real-time acquisition of respiration, electrocardio and myoelectricity, and relates to the technical field of medical equipment, the wearable monitoring system comprises a monitoring terminal, a data processing center and an equipment management platform, the monitoring terminal comprises a respiration monitoring module, an electrocardio monitoring module, a myoelectricity monitoring module and a blood oxygen and heart rate monitoring module; the monitoring terminal is composed of a flexible sensing jumpsuit and adopts an ergonomic wearable design; the flexible sensing jumpsuit is made of flexible conductive fiber fabric and has the characteristic of variable tensile resistance, conductive fibers deform along with expansion and contraction of the thorax in the breathing process, the resistance value changes accordingly, and the breathing volume and the myoelectricity change are accurately measured through a breathing monitoring module; the electrocardio monitoring module integrates a textile electrode at the position, corresponding to the heart area, of the inner side of the jumpsuit. Synchronous high-quality collection of three important physiological signals of respiration, electrocardio and myoelectricity can be achieved, and electrocardio monitoring meets the national detection standard.

This application provides a method, apparatus, and storage medium for calculating coronary artery calcium scores, comprising: segmenting an initial three-dimensional medical image of the cardiac region from a plain coronary CT image using an image segmentation model; identifying calcified plaque regions in the initial three-dimensional medical image to determine at least one target region image and the location information of each image; identifying the coronary vessel category in each image by recognizing the input consisting of the target region image and the image location information; performing overall recognition of the initial three-dimensional medical image using a second coronary classification model to determine the calcified plaque regions included in the initial three-dimensional medical image, the location information of each region, and the category of coronary vessels; and calculating the calcium score for the calcified regions identified by both models to obtain the total coronary artery calcium score. Thus, the method provided in this application can quickly and accurately calculate the coronary artery calcium score based on plain CT scans.

The invention provides a method and a device for identifying a diastolic period and a systolic period of a CBCT image, and the method comprises the steps: scanning a heart region through CBCT equipment, and collecting a plurality of two-dimensional projection images of the heart region; preprocessing the plurality of two-dimensional projection images so as to suppress scanning errors of CBCT equipment and enhance the distinction degree of heart motion signals and non-motion signals in the CBCT images; based on a PCA algorithm, extracting a feature value of each preprocessed two-dimensional projection image, the feature values being used for representing a heart motion state; fitting the characteristic values of all the two-dimensional projection images into a characteristic curve according to an acquisition time sequence; and identifying a peak value and a valley value of the characteristic curve, and determining that the two-dimensional projection image corresponding to the peak value is a diastolic period projection image and the two-dimensional projection image corresponding to the valley value is a systolic period projection image. According to the application, accurate and efficient identification of the key cardiac stage of the heart can be realized, and stable and reliable image support is provided for subsequent clinical operation.

In a described example, a method includes constructing a data structure including a representation of locations, within a given cardiac region, visited by a catheter during a build phase for a model of at least the given cardiac region. The method can also include receiving an electrogram associated with one or more first electrodes of the catheter at locations in a patient's heart and receiving an electrophysiological signal associated with second electrodes at respective substantially fixed locations relative to the patient's heart. The method can also include identifying, based on the electrogram and the electrophysiological signal, a cardiac region corresponding to a respective one or more of the locations of the one or more first electrodes in the patient's heart. On a graphical user interface, visual indicia can be displayed based on the identified cardiac region and the given cardiac region.

A method of pacing a heart includes implanting a subcutaneously implantable device on a xiphoid process and / or a sternum of a patient. The subcutaneously implantable device includes a housing, a prong extending away from the housing, and a first electrode at a distal end of the prong. The method further includes contacting a Manicka Zone of Pacing on an anterior surface of the heart with the first electrode on the distal end of the prong. The Manicka Zone of Pacing is defined as an area of the heart extending 3 centimeters (1.1811 inches) laterally outward from either side of a left anterior descending artery of the heart. A pacing signal is delivered to the Manicka Zone of Pacing of the heart through the first electrode. A right ventricle and a left ventricle of the heart are synchronously paced with the pacing signal received in the Manicka Zone of Pacing.

A method of pacing a heart includes implanting a subcutaneously implantable device on a xiphoid process and / or a sternum of a patient. The subcutaneously implantable device includes a housing, a prong extending away from the housing, and a first electrode at a distal end of the prong. The method further includes contacting a Manicka Zone of Pacing on an anterior surface of the heart with the first electrode on the distal end of the prong. The Manicka Zone of Pacing is defined as an area of the heart extending 3 centimeters (1.1811 inches) laterally outward from either side of a left anterior descending artery of the heart. A pacing signal is delivered to the Manicka Zone of Pacing of the heart through the first electrode. A right ventricle and a left ventricle of the heart are synchronously paced with the pacing signal received in the Manicka Zone of Pacing.

A method includes utilizing a first trained neural network to localize a cardiac region in a TI-scout MIP image to generate a ROI segmentation mask for the cardiac region. The method also includes utilizing the ROI segmentation mask on the TI-scout MIP image and a series of MR scout temporal frames to generate a ROI cropped TI-scout MIP image and ROI cropped MR scout temporal frames, respectively. The method includes generating a distance score plot by computing a distance between each ROI cropped MR scout temporal frame and the ROI cropped TI-scout MIP image. The method includes analyzing the distance score plot to approximate a span of the MR scout temporal frames for optimal TI frame estimation and utilizing a second trained neural network to determine an optimal TI frame from the span of the MR scout temporal frames.

The application discloses a kind of full-automatic cardiac magnetic resonance imaging segmentation methods based on expansion residual network.The method comprises the following steps: acquiring a cardiac magnetic resonance image;The cardiac magnetic resonance image is input into a trained segmentation network, and the right ventricular region, myocardial region and left ventricular region are segmented out, wherein the segmentation network is constructed based on residual network U-Net, and the bottleneck layer of the residual network is combined with the encoding path and the decoding path using the expansion convolution block with a set expansion rate.The application can accurately segment the right ventricle, left ventricle, myocardium and other regions from the cardiac magnetic resonance image, realize the full-automatic segmentation of the cardiac image, and improve the performance of the cardiac region image segmentation.

A method includes receiving a cardiac signal that is sensed by electrodes at a location in a heart of a patient, the cardiac signal including signal components evoked by respective activations. The signal components in the cardiac signal are found and annotated. Respective time differences are calculated between the annotations and the corresponding activations. Based on the time differences, one or more cardiac tissue locations are identified, that demonstrate progressively slowing activation (PSA). An EP map of at least a portion of the heart is presented to a user, including providing a graphical indication of the one or more tissue locations that demonstrate the PSA.

A method for extracting a target region from chest CT data and detecting a lesion is disclosed, the method comprising the steps of: obtaining chest CT data of a subject; segmenting an image obtained by extracting a heart region from the chest CT data by using an artificial intelligence model; overlaying, onto the chest CT data, the image obtained by extracting the heart region; analyzing the image obtained by extracting the heart region, so as to detect a calcified portion; and displaying the calcified portion on the image obtained by extracting the heart region.