29 results about "Cardiac zone" patented technology

The present disclosure provides a method for providing information on strain quantification implemented by a processor, the method includes receiving a cardiac ultrasound image including a target heart area of an subject, determining a motion vector field for the target heart area in the received cardiac ultrasound image using a prediction model trained to segment the target heart area using the cardiac ultrasound image as an input and determine a motion vector field based on the segmented target heart area, and determining a strain quantification parameter based on the motion vector field, and the present disclosure provides a device and system using the method for providing information on strain quantification.

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.

The application relates to an inhaled cold air treatment instrument and a temperature control method, and belongs to the medical instrument field. The application comprises a case, a flow regulating valve, an air inlet pipe, a heat exchange unit, a temperature sensor, a control unit, a heat preservation pipeline, a patient interface, a display control panel and a gas bottle. The heat exchange unit and the control unit are arranged in the case. The front panel of the case is provided with the display control panel. The heat exchange unit is provided with an air inlet and an air outlet. One end of the air inlet pipe is connected with the gas bottle, and the other end is connected with the air inlet through the flow regulating valve. The patient interface is connected with the air outlet through the heat preservation pipeline. The temperature sensor is arranged on the heat preservation pipeline. The control unit is connected with the flow regulating valve, the heat exchange unit, the temperature sensor and the display control panel. The application solves the problems of slow effect, large side effect and poor patient compliance of the existing systemic or invasive hypothermia treatment method, and lacks an effective means for targeted hypothermia protection of the heart region through the respiratory tract.

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.

An implantable medical device for stimulating a heart, includes a stimulation electrode configured to stimulate a first cardiac region of the heart, and a detection unit configured to detect an intracardiac electrogram at a second cardiac region (ventricle) of the heart. In operation, the device: delivers a stimulation pulse to the heart; evaluates a time and at least one morphologic parameter of a responsive signal of an intracardiac electrogram, wherein the at least one morphologic parameter is chosen from: an absolute value of the signal amplitude, a width of the signal, a positive, negative and / or total area under at least a part of the signal, and a number of occurrences and / or time of occurrence of zero crossings of the signal; and identifies a dislocation of the stimulation electrode if the time of the signal is below a first threshold value and the morphologic parameter exceeds a further threshold value.

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.

This invention belongs to the field of cardiac mapping technology, and particularly relates to a method, apparatus, and terminal device for mapping cardiac function parameters. The method includes acquiring cardiac image data; performing image registration on each image to be registered in the image data to obtain a registered image; extracting cardiac region images from the registered images; and outputting a result image for analyzing the cardiac function parameters based on the cardiac region images. This significantly improves the efficiency of data acquisition, reduces the difficulty of data acquisition, expands the mapping range, and improves resolution.

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 computer program and system are described that support identification of regions of the heart responsible for supporting or initiating abnormal heart rhythms. Electrode activation sequences contributing to a repetitive pattern of activation are identified. An earliest activating site, a vector of activation from the identified electrode activation sequences and a path back from the earliest activating site over a surface of the heart chamber are determined. A statistical measure is computed for the repetitive pattern of activation and data identifying the repetitive pattern of activation including the path is output, the data varying the prominence of the repetitive pattern of activation in dependence on the statistical measure.

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.

A method includes receiving a cardiac signal sensed by an electrode at a location in a heart of a patient, the cardiac signal including signal components induced by respective activations. Signal components in a cardiac signal are found and annotated. A respective time difference between the annotation and the corresponding activation is calculated. Based on the time difference, one or more cardiac tissue locations are identified that exhibit gradually slowed activation (PSA). An EP map of at least a portion of the heart is presented to the user, including providing a graphical indication of one or more tissue locations exhibiting the PSA.

The application provides a method and device for identifying diastolic and systolic phases of a CBCT image. The method comprises: scanning a heart region by a CBCT device to collect a plurality of two-dimensional projection images of the heart region; preprocessing the plurality of two-dimensional projection images to suppress scanning errors of the CBCT device and enhance the distinguishability of the heart motion signals and non-motion signals in the CBCT images; extracting eigenvalues of each of the preprocessed two-dimensional projection images based on a PCA algorithm, wherein the eigenvalues are used to represent the heart motion state; fitting the eigenvalues of all the two-dimensional projection images into a characteristic curve in the order of acquisition time; identifying the peak and valley of the characteristic curve, determining the two-dimensional projection image corresponding to the peak as a diastolic phase projection image, and determining the two-dimensional projection image corresponding to the valley as a systolic phase projection image. The application can accurately and efficiently identify the key heart phases, and provide stable and reliable image support for subsequent clinical operations.

An automatic estimation method for an adult myocardial overall longitudinal strain index based on an echocardiogram comprises the following steps that a segmentation model is established, and accurate segmentation of a heart area is achieved; processing the heart region obtained by segmentation, reserving a myocardial region, and calculating endpoints of internal and external outlines of the myocardial according to the characteristics of the myocardial outlines to obtain internal and external outline lines of the myocardial region; estimating a cardiac apex position according to the myocardial gravity center; determining a center line of the myocardial region; dividing the center line of the myocardial region, and dividing the myocardial region into a plurality of myocardial segments; the myocardial segment displacement is calculated with the myocardial segment as the unit, and a myocardial strain curve is obtained. According to the method, framing, myocardial region segmentation, myocardial region extraction, myocardial inner and outer contour and center line calculation, cardiac apex position estimation and GLS index estimation can be automatically carried out on an ultrasonic video, the influence caused by errors and subjectivity of manual analysis is reduced to a great extent, and meanwhile the interference influence caused by image quality can be overcome to a certain extent.

A computer-implemented approach produces a patient-specific three-dimensional (3-D) surface mesh of contrast-enhanced coronary-artery vessels directly from computed-tomography (CT) data. A CT volume is windowed and intensity-normalized; a three-dimensional Jerman vesselness filter is then applied. The normalized CT data and vesselness response form separate channels of a multi-channel volume. A first three-dimensional convolutional neural network (CNN) delineates the pericardium, and morphological dilation of that mask defines a safety margin limiting subsequent analysis to the cardiac region. The masked multi-channel volume is subdivided, and a second 3-D CNN concurrently analyzes both channels to predict coronary-vessel probability maps that are reassembled into a whole-volume binary vessel mask. Small disconnected components are discarded and the mask is morphologically smoothed. Finally, a triangulation stage converts the refined mask into a surface mesh suitable for visualization or quantitative analysis. Corresponding systems and non-transitory media store instructions and pretrained network weights.

The method includes receiving a cardiac signal sensed by electrodes at a location within a patient's heart, the cardiac signal including signal components induced by respective activations. The signal components within the cardiac signal are found and annotated. Respective time differences between the annotations and corresponding activations are calculated. Based on the time differences, one or more cardiac tissue locations exhibiting progressive slow activation (PSA) are identified. 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 exhibiting PSA.

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 programming device for programming an implantable medical device for stimulating a human or animal heart, wherein the following steps are performed: a) allowing to select one of at least two electrode lead configurations for stimulating a human or animal heart, wherein the at least two electrode lead configurations comprise a second electrode lead configuration in which at least one electrode lead is connected to an electrode lead port, the electrode lead port being configured to receive an electrode lead for stimulating a second cardiac region or detecting an electric signal at the second cardiac region, wherein the second cardiac region is a part of a ventricular conduction system of the heart, wherein the at least one electrode lead is intended to be implanted or is implanted in the second cardiac region; b) generating and releasing a notification signal if the second electrode lead configuration is selected.

The invention discloses a heart T1 (T1) mapping motion correction method based on a Swin Transformer (Swin Transformer). The method comprises the following steps: preprocessing a heart T1 weighted image; inputting the heart T1 weighted image into a trained motion correction network to obtain a corrected image; wherein the motion correction network has an encoder structure and a decoder structure, a multi-level layered Swin Transformer module included in the encoder structure has a jump connection with a corresponding Swin Transformer module of the decoder structure, and the motion correction network is used for predicting a deformation velocity field from an input image, and integrating the velocity field by using a scaling square layer to obtain a deformation field, and finally, performing a warping operation on the moving image by using a spatial transformation network to obtain a de-registered result image. According to the method, the motion correction network based on the Swin Transform is constructed, more effective feature extraction and alignment are carried out on the heart region in the heart T1 weighted image with relatively complex structure and contrast change, and the heart T1 quantitative registration performance is improved.

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.