9 results about "ATRIAL RHYTHMS" patented technology

A system and method for heart rhythm detection and reporting are disclosed. This cardiology system includes a biosensor system and a data analysis system. The biosensor system is worn by an individual and includes sensors that detect biosignals including infrasonic signals from the individual. The data analysis system receives the biosignals from the biosensor system, and determines heart rhythms of the individual based upon the biosignals. The system identifies at least some of biosignals as being associated with cardiovascular activity, such as pulse wave signals. Preferably, the biosensor system is an in-ear biosensor system that detects the biosignals via left and right earbuds placed within or at ear canals of the individual. The system can also identify arrhythmias including atrial fibrillation (Afib) arrhythmias from the heart rhythms, report information to health care and safety professionals and update medical records of the individuals.

The present application relates to the technical field of three-dimensional modeling, in particular to a cardiovascular three-dimensional reconstruction system based on multi-modal image data fusion. The present application determines the composite matching cost between the corresponding two points based on the position difference between the three-dimensional prediction contour point and the two-dimensional observation edge point at each time, the spatial constraint of anatomical structure and the consistency of direction characteristics, and determines the best matching pair set between the three-dimensional prediction contour point and the two-dimensional observation edge point. Based on the composite matching cost of the matching point pair in the best matching pair set, the geometric error cost after removing the influence of the spatial constraint of anatomical structure and the spatial constraint of anatomical structure are removed, the projection deviation between the matching point pair is adjusted, the position of the three-dimensional prediction contour point of the three-dimensional reference model is updated, and the three-dimensional reconstruction model is obtained. The present application realizes accurate reconstruction of the cardiovascular model under the irregular heart rhythm of atrial fibrillation by using multi-dimensional constraint composite cost accurate matching and based on the double constraint update strategy of geometric error and anatomical resistance.

An intelligent blood pressure monitoring device and method for a patient with atrial fibrillation, and a processor. The device comprises a blood pressure measurement module, an electrocardiogram measurement module, and a processing module. The blood pressure measurement module is used for measuring arterial blood pressure data of a target subject. The electrocardiogram measurement module is used for acquiring electrocardiogram data of the target subject and generating electrocardiographic data. The processing module is used for performing time alignment of the electrocardiographic data and the arterial blood pressure data, determining R-R interval stability in the electrocardiogram data, and selecting arterial blood pressure data or calculating an average value of the arterial blood pressure data on the basis of the R-R interval stability, P wave variability, and / or atrial fibrillation status in the electrocardiogram data. The device and method can recognize a period of stable heart rhythm, ensuring the reliability and practicability of a measurement result. By dynamically adjusting the measurement frequency and duration, and selecting data that is less affected by atrial fibrillation, the number of unnecessary measurements is effectively reduced, and meanwhile, the accuracy of blood pressure data is improved.

A computer device for classifying a wide complex tachycardia (WCT) pattern of a subject is provided. The computer device is programmed to: a) receive WCT electrocardiogram (ECG) data indicative of a WCT pattern; b) transform the WCT ECG data into at least one engineering feature; c) execute at least one machine learning model to analyze the at least one engineering feature and to output a classification of the WCT pattern; d) based upon the classification of the WCT pattern, determine whether the WCT pattern is indicative of at least one of a ventricular tachycardia (VT) and a supraventricular wide complex tachycardia (SWCT); and e) select a treatment for the subject based upon the determination.

The present invention relates to a method and system for determining progression of atrial fibrillation (AF) based on hemodynamic metrics. In conventional CFD models, effect of the AF on a cardiovascular system is not modeled and evaluation of associated hemodynamic metrics and its effect on a Left Atrium (LA) dynamics is not considered. The method and system for determining progression of the AF based on the hemodynamic metrics, analyzes the effect of the AF on cardiovascular parameters of the LA and a left Ventricle (LV), for AF variations. A 3D-CFD model is modelled from a plurality of scan images of a heart of a subject and the AF variations are incorporated in a zero-dimensional (OD) lumped cardiovascular hemodynamic model along with a novel rhythm generator that are used for extracting a plurality of LA hemodynamic metrics of wall shear stress (WSS) that are possible indicators for progression of the AF.

This invention relates to an intelligent blood pressure monitoring device and method for elderly patients with atrial fibrillation. The device includes a blood pressure measurement module, an electrocardiogram (ECG) measurement module, and a processing module. The blood pressure measurement module measures the arterial blood pressure data of the target subject; the ECG measurement module collects the ECG data of the target subject and generates ECG data; the processing module aligns the ECG data with the arterial blood pressure data in time, and dynamically adjusts the measurement frequency and duration of the blood pressure measurement module based on changes in the ECG data, selecting arterial blood pressure data that meets the time interval requirements and is less affected by atrial fibrillation as the measurement data. By combining ECG data, this invention can identify the stable period of the heart rhythm, ensuring the reliability and practicality of the measurement results. By dynamically adjusting the measurement frequency and duration and selecting data less affected by atrial fibrillation, this invention effectively reduces unnecessary measurements and improves the accuracy of blood pressure data.

The invention provides a cardio-pulmonary resuscitation system based on artificial intelligence and an application method, and the system comprises a sudden cardiac arrest early warning EMS system which collects physiological information, carries out the feature extraction and classification reasoning, diagnoses whether the heart is suddenly stopped or not according to the physiological information, and if yes, automatically dials 120 and sends the position to a medical system; the automatic defibrillation system is used for collecting electrocardiogram information of a patient, processing electrocardiogram data of ventricular fibrillation waveforms, constructing an electrocardiogram ventricular fibrillation recognition model, and sending out a voice prompt and defibrillating after the ventricular fibrillation is diagnosed; the automatic external chest compression system is used for starting automatic external chest compression after cardiac arrest of the patient is determined, identifying carotid artery pulse and continuously monitoring blood pressure, and adjusting amplitude and frequency of external chest compression in a self-feedback manner according to identification of carotid artery fluctuation and pressure. The invention provides an external chest compression system capable of accurately evaluating cardiac arrest, quickly starting an EMS system, accurately identifying ventricular fibrillation rhythm, starting an automatic defibrillation system and having a self-feedback function.

The invention discloses a dynamic planning method for an implantation path of a central venous catheter based on magnetic navigation, and relates to the technical field of intelligent medical treatment. According to the method, an integrated three-dimensional anatomical model is reconstructed by segmenting medical image data, risk level labeling and optimal region highlighting are combined, an anatomical structure and risk distribution are presented, a target region is delimited, a magnetic field generator is deployed, and a double-calibration reference point and an iterative correction conversion matrix are combined, so that precise space matching of a preoperative model and an intraoperative entity is realized; a magnetic positioning sensor is fused to calculate coordinates, a miniature attitude sensor collects angles, interference prevention and control and data complementary calibration are matched, a dynamic risk field is constructed with the tip of a guide wire as the center, a path is calculated in combination with a target end point, graded early warning is generated, path dynamic optimization and risk early warning are achieved, the risk of operation complications is reduced, and the reliability of the system is improved. The magnetic navigation data and the electrocardiosignal are associated to judge the position, the judgment precision of the optimal indwelling position of the catheter is improved, and the special requirements of patients with abnormal heart rhythm are met.

A cardiac pacemaker which stays synchronized with the heart's natural cycle but also provides a safe patient support in cases where an atrial rhythm is detected by the implant promoting suspicion that an SVT occurred. The pacemaker includes a processing unit, a detector and a pacing signal generator, wherein the detector and the pacing signal generator are electrically connected to the processing unit, wherein the processing unit is configured to determine a ventricular pacing time value and / or a ventricular pacing rate value and to transmit a corresponding pacing information to the pacing signal generator for providing a pacing signal for a patient's heart based on this information.An operation method of such a pacemaker, a respective computer program product and computer readable data carrier are also disclosed.