20 results about "Fibrillation" patented technology

The invention discloses an orbit MRI image analysis method and system based on deep learning, and belongs to the field of image analys.The method comprises the steps that MRI image data of an orbit area of a patient are obtained, and the MRI image data comprise a conventional T1WI sequence, a T2WI plain scanning sequence, a conventional enhancement sequence and an extraocular muscle fibrillation enhancement sequence; performing preprocessing on the MRI image to obtain a standardized image; inputting the standardized image into a deep learning segmentation model, and outputting segmentation masks of extraocular muscle, lacrimal gland and intraorbital fat; calculating quantitative indexes of a target structure based on the segmentation mask, wherein the target structure comprises extraocular muscle, lacrimal gland and intraorbital fat; and generating a diagnosis report containing the quantitative index. Human experience dependence is avoided, and objective and uniform anatomical structure segmentation results are ensured.

Devices, systems and methods are provided for treating target tissue with pulsed electric field energy in a manner that does not induce cardiac arrhythmias such as fibrillation of the heart and therefore negates any need for cardiac synchronization of energy delivery. Cardiac synchronization is typically employed to avoid delivering energy during portions of the cardiac cycle that are vulnerable to inducing fibrillation. Thus, herein parameters are manipulated to reduce the probability of inducing an arrhythmia. Typically, high voltage energy can trigger a premature action potential within the cardiac muscle as the delivered energy increases the cardiac muscle cell membrane permeability allowing ion transport, which can induce cardiac arrhythmias, especially ventricular fibrillation. However, both shorter pulse durations (i.e. higher frequencies such as 100-600 kHz) and biphasic waveform shapes theoretically and practically reduce the probability of inducing an arrhythmia.

A method and computer system are described for classifying an electrocardiogram as an atrial fibrillation (AF) electrocardiogram or a ventricular fibrillation (VF) electrocardiogram, automatically detecting AF epochs within an AF electrocardiogram, and automatically detecting VF epochs within a VF electrocardiogram. A classification and identification (C&I) system includes a classification system, an AF identification system, and a VF identification system. The C&I system processes an electrocardiogram collected from a patient to classify the electrocardiogram as an AF electrocardiogram or a VF electrocardiogram, and identify AF epochs within the AF electrocardiogram or VF epochs within the VF electrocardiogram. The C&I system can then identify an AF source location of the AF based on the AF epoch and a VF source location of the VF based on the VF epoch. The C&I system can display a graphic of the heart including an indication of the source location.

Devices, systems, and methods are provided for treating target tissue with pulsed electric field energy in a manner that does not induce arrhythmia, such as tremor of the heart, and thus eliminates any need for cardiac synchronization of energy delivery. Cardiac synchronization is typically used to avoid delivery of energy during portions of the cardiac cycle that are susceptible to effect to induce fibrillation. Thus, parameters are manipulated herein to reduce the probability of inducing an arrhythmia. Typically, high voltage energy may trigger premature action potentials within the myocardium because the delivered energy increases myocardial cell membrane permeability, allowing ion transport, which may induce arrhythmias, especially ventricular fibrillation. However, shorter pulse durations (i.e., higher frequencies, e.g., 100 kHz to 600 kHz) and biphasic waveform shapes both theoretically and practically reduce the probability of inducing an arrhythmia.

Embodiments of the present application disclose an atrial fibrillation detection method and device, a storage medium and a computer device. The method comprises: receiving an ECG signal sequence of a preset length and performing a preprocessing operation on the ECG signal; determining a QRS complex position based on the processed ECG signal; extracting a plurality of characteristic parameters according to the QRS complex position; and identifying and classifying the plurality of characteristic parameters based on a classifier. The present application simultaneously utilizes two features of an atrial fibrillation waveform, i.e., irregular changes in an RR interval and a baseline of a heartbeat interval being an irregular continuous high-frequency low-amplitude fibrillation wave, to detect and analyze an atrial fibrillation signal. Specifically, by determining a QRS complex position and extracting a plurality of characteristic parameters based on the position, the change rule of the RR interval and the related plurality of characteristic parameter values of the fibrillation wave are obtained. Further, a support vector machine (SVM) classifier is used to perform binary classification prediction on the above characteristic parameters, thereby achieving detection and identification of the atrial fibrillation signal and greatly improving the accuracy of the analysis result of the atrial fibrillation signal.

This item is the main unit of an automated external defibrillator (AED), which performs defibrillation by delivering an electric shock to the heart to eliminate fibrillation, for example, when a patient's heart goes into fibrillation. By attaching electrodes (pads) connected to this item to the patient's chest, the patient's electrocardiogram is automatically analyzed, and defibrillation is performed as needed. The central panel may have a display unit as shown in Reference Figure 1, which shows the state of use, or it may not have a display unit as shown in Reference Figure 2, which also shows the state of use.

A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.

The invention relates to the technical field of GO extraocular muscle fibrillation treatment, in particular to a V4C3 atFe-Mn intelligent nano delivery system based on green tea mediated biosynthesis and a preparation method and application thereof. According to the system, the in-situ growth of Fe-Mn nanoparticles is realized by utilizing the biological reduction effect of a green tea extract, the Fe-Mn nanoparticles are loaded on the surface of a V4C3 nanosheet with multi-enzyme activity, and targeted delivery is realized and the retention time of eyes is prolonged through dual modification of RGD peptide and HA. In-situ growth of Fe-Mn nanoparticles is realized by utilizing the biological reduction effect of the green tea extract, the Fe-Mn nanoparticles are loaded on the surface of a V4C3 nanosheet with multi-enzyme activity, and targeted delivery is realized and the retention time of eyes is prolonged through dual modification of RGD peptide and HA.

A system for computational localization of fibrillation sources is provided. In some implementations, the system performs operations comprising generating a representation of electrical activation of a patient's heart and comparing, based on correlation, the generated representation against one or more stored representations of hearts to identify at least one matched representation of a heart. The operations can further comprise generating, based on the at least one matched representation, a computational model for the patient's heart, wherein the computational model includes an illustration of one or more fibrillation sources in the patient's heart. Additionally, the operations can comprise displaying, via a user interface, at least a portion of the computational model. Related systems, methods, and articles of manufacture are also described.

The present disclosure applies to methods of cardiac ablation that use an algorithm to determine where in the heart a driver of atrial fibrillation is located. Catheters with multi-electrode arrays are used to measure electrograms from cardiac signals wherein abnormal signals are identified as electrogram deflections with characteristic shapes. The electrogram deflections are compared to each other in pairs to determine which came first in time in order to determine the net direction of propagation of a fibrillatory wave. The signal that came first is assigned a positive point value so that once the plurality of electrograms have been compared, the signal with the highest point value can be identified as a driver of fibrillation. The data can be displayed graphically as a map of atrial fibrillation drivers on a 3D representation of a heart, allowing surgeons to quickly and easily identify where on the heart the driver is.

The present invention is a multi-stage treatment that heals tissue or organ damage (e.g., linear defects, fissures, and fibrillations, as well as focal and large defects) in collagen-rich tissues and organs such as articular cartilage. The present invention includes methods 1) to prime tissues in preparation for treatment, which comprises “melting” the tissue matrix, 2) to add or fill the damaged area with a “melding” agent, comprising of endogenous or exogenous tissue matrix, with or without cells, with or without exogenous biomaterials, and with or without endogenous or exogenous enzymes, such that the melding agent enhances anchoring into the defect for the purpose of integration and / or tissue healing. The Melt-and-Meld process can also be applied in conjunction with any existing treatments of tissue or organ defects.

This item is the main unit of an automated external defibrillator (AED), which performs defibrillation by delivering an electric shock to the heart to eliminate fibrillation, for example, when a patient's heart goes into fibrillation. By attaching electrodes (pads) connected to this item to the patient's chest, the patient's electrocardiogram is automatically analyzed, and defibrillation is performed as needed. The central panel may have a display unit as shown in Reference Figure 1, which shows the state of use, or it may not have a display unit as shown in Reference Figure 2, which also shows the state of use.

The invention provides an asymmetrically flexible cardiac mapping catheter that includes a deformation mechanism by which a user may deform a distal portion of the catheter giving the user the ability to reach, and map electrical activity of, substantially any surface within the heart.

This item is a case for storing a defibrillator such as an Automated External Defibrillator (AED), which delivers an electric shock to a patient's heart to eliminate fibrillation when the patient's heart goes into fibrillation.

This invention discloses an integrated left atrial appendage occluder, comprising a sealing part and an anchoring part connected as one unit. The sealing part has one end fixedly connected to an occlusion head, and the other end integrated with the anchoring part, having a sealing tensioning part protruding from the anchoring part. The anchoring part has an anchoring convergence part at its end, and has several anchoring support beams symmetrically arranged around the central axis of the occlusion head. The anchoring support beams are provided with anchoring hooks along the direction of the delivery pipe. The left atrial appendage occluder of this invention has high reliability, safety, and sealing stability, can be repeatedly recycled, and exhibits strong flexibility in the vertical direction and circumferential sealing flexibility, better meeting the clinical needs for left atrial fibrillation (AF).

This item is the main unit of an automated external defibrillator (AED), which performs defibrillation by delivering an electric shock to the heart to eliminate fibrillation, for example, when a patient's heart goes into fibrillation. By attaching electrodes (pads) connected to this item to the patient's chest, the patient's electrocardiogram is automatically analyzed, and defibrillation is performed as needed. The central panel may have a display unit as shown in Reference Figure 1, which shows the state of use, or it may not have a display unit as shown in Reference Figure 2, which also shows the state of use.

The invention provides an electrocardiosignal analysis processing method and system, a medium and equipment. The method comprises the following steps: S1, acquiring electrocardiosignal data to be analyzed; s2, preprocessing the electrocardiogram data to be analyzed to obtain preprocessed electrocardiogram data to be analyzed; s3, performing recognition processing on the to-be-analyzed electrocardiogram data by using a deep learning model to obtain a first recognition result and semantic features generated by the deep learning model in a reasoning process; and S4, analyzing the first recognition result and the semantic features by using an explanatory analysis model, obtaining an extraction result of the fibrillation wave and interval irregular features of the atrial fibrillation in the electrocardiogram data by the deep learning model, and generating an explanation report. The invention provides an electrocardiosignal analysis method capable of automatically identifying atrial fibrillation and giving a result explanation report at the same time, an electrocardiogram feature shielding method is adopted, the problem that electrocardiogram analysis is unreasonable in a conventional mask shielding method is solved, and the effect of shielding any semantic feature of the electrocardiogram is achieved.

A wearable optical sensing device and methods are disclosed for concurrently deriving photoplethysmography (PPG) parameters and detecting tissue micromotions using the same optical modules. An emitter illuminates tissue and a photodetector produces signals that are demodulated subtraction synchronized to a pulsed drive. A signal processor separates the demodulated stream into bands, computing PPG parameters from about 0.5–4 Hz and a micromotion index from about 4–12 Hz (e.g., 4–6 Hz and 8–12 Hz). The optical modules may operate in reflective and / or transmissive geometries around a finger ring; other form factors are supported. Multi-wavelength operation (e.g., green, red and / or near-infrared) and / or differential photodetectors enable suppression of blood-volume pulsatility to enhance sensitivity to geometry-driven path-length modulation associated with micromotion. Optional inertial gating reduces artifacts from gross motion. An adaptive controller adjusts LED power, duty cycle, sampling, and pairing to maintain SNR. Metrics are logged or transmitted and may trigger user feedback.

Methods and computer systems are described that classify a cardiogram as being an atrial fibrillation (AF) or ventricular fibrillation (VF) cardiogram, automatically detect an AF epoch within an AF cardiogram, and automatically detect a VF epoch within a VF cardiogram. A classification and identification (C&I) system includes a classification system, an AF identification system, and a VF identification system. The C&I system processes cardiograms collected from patients to classify the cardiograms as being AF cardiograms or VF cardiograms and to identify AF epochs within the AF cardiograms or VF epochs within the VF cardiograms. The C&I system may then identify an AF source location of an AF based on the AF epochs and a VF source location of a VF based on the VF epochs. The C&I system may display a graphic of a heart that includes an indication of a source location.

A method for setting an amplitude of defibrillation shock as a function of parameters of an electrocardiogram (ECG) of a patient is disclosed. The method comprises the steps of determining an index of non-regularity of fibrillation and the frequency of the fibrillating heart, and setting the amplitude for shock defibrillation to a stored maximum energy (Emax) in case that the index of non-regularity (IIR) is equal or above a given threshold value (θIR) or setting the amplitude for shock defibrillation to a value determined by a function of the frequency of the fibrillating heart (f) and the index of non-regularity (IIR).