Systems and methods for ambulatory detection of Q wave-to-T wave (QT) interval prolongation are discussed. A medical-device system comprises a controller circuit and a user interface device. The controller circuit includes a long QT syndrome (LQTS) detector that measures a QT interval from a subcutaneous cardiac signal sensed from a patient using implantable electrodes, and detects an indication of QT prolongation using the measured QT time interval and a programmable threshold received as a user input from the user interface. The control circuit can adjust device operation based on the detected indication of QT prolongation. An output unit can generate a programmable alert of the QT prolongation corresponding to the user input of the programmable threshold.

A system for facilitating a cardiac rhythm disorder diagnosis is provided. A download station is adapted to retrieve cutaneous action potentials of a patient recorded as ECG data. A plot of R-R interval data is generated based on the ECG data and displayed. A presentation of the R-R interval data in the display is changed by identifying a section of the R-R interval data and removing portions of the R-R interval data associated with an earlier recordation time than the R-R interval data in the section and a later recordation time than the R-R interval data in the section. The R-R interval data remaining in the display is provided in greater detail. Report strips are generated from the remaining R-R interval data and classified with a cardiac condition of the patient.

Implantable medical device configured to detect an atrial electric signal of a heart, and a ventricular electric signal of the same heart. Atrial events are evaluated in the atrial electric signal detected by a first detection unit and/or ventricular events are evaluated in the ventricular electric signal detected by a second detection unit for recognizing a condition of the device in which atrial electric signals are insufficiently detected.

Evaluation is done by applying at least one of: morphology of the detected atrial electric signals; lacking stability of atrial events; absence of atrial events over a period of time; an amplitude of the detected atrial electric signal being lower than a predefined threshold value; absence of atrial events during detection of ventricular electric signals simultaneously; comparison of atrial events sensed with first and second sensing profiles, the second being more sensitive than the first.

This document discusses, among other things, systems and methods to receive cardiac electrical information of a subject, detect a premature ventricular contraction (PVC) event in a first detection window using the received cardiac electrical information, determine a count of detected PVC events in the first detection window, remove cardiac electrical information associated with the detected PVC event from the first detection window based on the determined count of detected PVC events, and detect an indication of atrial fibrillation of the subject for the first detection window using remaining cardiac electrical information in the first detection window.

This document discusses, among other things, systems and methods to receive cardiac electrical information of a subject, detect a premature ventricular contraction (PVC) event in a first detection window using the received cardiac electrical information, determine a count of detected PVC events in the first detection window, remove cardiac electrical information associated with the detected PVC event from the first detection window based on the determined count of detected PVC events, and detect an indication of atrial fibrillation of the subject for the first detection window using remaining cardiac electrical information in the first detection window.

An ablation procedure guidance method is provided herein. The ablation procedure guidance method is implemented by a generation engine executing on a processor. The ablation procedure guidance method includes receiving inputs including images and conduction velocity vector estimations and generating a digital twin of an anatomical structure utilizing the images and the conduction velocity vector estimations. The ablation procedure guidance method also includes presenting, via a user interface of the generation engine, the digital twin to provide precision ablation guidance of the anatomical structure and provide electrophysiology information of the anatomical structure.

An ablation procedure guidance method is provided herein. The ablation procedure guidance method is implemented by a generation engine executing on a processor. The ablation procedure guidance method includes receiving inputs including images and conduction velocity vector estimations and generating a digital twin of an anatomical structure utilizing the images and the conduction velocity vector estimations. The ablation procedure guidance method also includes presenting, via a user interface of the generation engine, the digital twin to provide precision ablation guidance of the anatomical structure and provide electrophysiology information of the anatomical structure.

A method of producing an artificial neural network capable of predicting the survivability of a patient, including: storing in an electronic database patient health data comprising a plurality of sets of data, each set having at least one of a first parameter relating to heart rate variability data and a second parameter relating to vital sign data, each set further having a third parameter relating to patient survivability; providing a network of nodes interconnected to form an artificial neural network, the nodes comprising a plurality of artificial neurons, each artificial neuron having at least one input with an associated weight; and training the artificial neural network using the patient health data such that the associated weight of the at least one input of each artificial neuron is adjusted in response to respective first, second and third parameters of different sets of data from the patient health data.

A system is provided for displaying heart graphic information relating to sources and source locations of a heart disorder to assist in evaluation of the heart disorder. A heart graphic display system provides an intra-cardiogram similarity (“ICS”) graphic and a source location (“SL”) graphic. The ICS graphic includes a grid with the x-axis and y-axis representing patient cycles of a patient cardiogram with the intersections of the patient cycle identifiers indicating similarity between the patient cycles. The SL graphic provides a representation of a heart with source locations indicated. The source locations are identified based on similarity of a patient cycle to library cycles of a library cardiogram of a library of cardiograms.

A system and method for designating between types of activation by a pulse generator configured to deliver a left ventricular (LV) pacing pulse at an LV pacing site as part of a cardiac resynchronization therapy (CRT) are provided. The system includes a sensing channel configured to collect cardiac activity (CA) signals along at least one sensing vector extending through a septal wall between the LV and right ventricle (RV). The CA signals are indicative of one or more beats and include a pre-LV pacing segment indicative of cardiac activity preceding the LV pacing pulse and a post-LV pacing segment indicative of cardiac activity following the LV pacing pulse. The system includes memory to store program instructions. One or more processors are configured to implement the program instructions to analyze the pre-LV pacing segment to identify a first myocardium activation (MA) characteristic of interest (COI). The system analyzes the post-LV pacing segment to a second MA COI, compares the first and second MA COI to first and second MA criteria, respectively, designates the CA signals to be indicative of one of a fusion beat, a capture beat or a pseudofusion beat based on the comparison of the first and second MA COI to first and second MA criteria and store a result of the designation.