A system and method for facilitating a cardiac rhythm disorder diagnosis based on subcutaneous cardiac monitoring data with the aid of a digital computer are provided. Cutaneous action potentials of a patient are recorded as electrocardiogram (EGC) data over a set time period using a subcutaneous insertable cardiac monitor. A set of R-wave peaks is identified within the ECG data and an R-R interval plot is constructed. A difference between recording times of successive pairs of the R-wave peaks in the set is determined. A heart rate associated with each difference is also determined. The pairs of the R-wave peaks and associated heart rate are plotted as the R-R interval plot. A diagnosis of cardiac disorder is facilitated based on patterns of the plotted pairs of the R-wave peaks and the associated heart rates in the R-R interval plot.

A system and method for classifier-based atrial fibrillation detection with the aid of a digital computer are provided. Electrocardiography (ECG) features and annotated patterns of the features are maintained in a database, at least some of the patterns associated with atrial fibrillation. A classifier is trained based on the annotated patterns. A representation of an ECG signal recorded by one or more ambulatory monitors is received. ECG features in the representation falling within each of the temporal windows are detected. The trained classifier is used to identify patterns of the ECG features. At least one matrix with weights for the patterns are generated. A value indicative of whether portions of the representation are associated the patient experiencing atrial fibrillation is calculated. That one or more of the portions are associated with the patient experiencing atrial fibrillation is determined. An action is taken based on one or more of the determinations.

A wearable medical device is provided. The wearable medical device includes a garment that includes a sensing electrode, at least one of an inductive element and a capacitive element included in at least part of the garment, and a controller. The controller may be configured to determine a confidence level of information received from the sensing electrode based on at least one of an inductance of the inductive element and a capacitance of the capacitive element.

A system for facilitating a cardiac rhythm disorder diagnosis with the aid of a digital computer is provided. A download station retrieves cutaneous action potentials of a patient recorded over a time by an ECG device as ECG data. An R-R interval plot of the ECG data includes R-R intervals plotted along an x-axis of the plot and heart rates associated with the R-R intervals plotted along a y-axis. The R-R intervals are calculated as a difference between recording times of successive pairs of R-wave peaks. Each heart rate is associated with each time difference. One or more portions of the R-R intervals are identified in the plot. Each portion of the R-R intervals includes a cardiac event. Report strips are generated and each includes one portion of the R-R intervals and a portion of the ECG data. The report strips are included in a cardiac report for the patient.

Long-term electrocardiographic and physiological monitoring over a period lasting up to several years in duration can be provided through a continuously-recording insertable cardiac monitor. The sensing circuitry and the physical layout of the electrodes are specifically optimized to capture electrical signals from the propagation of low amplitude, relatively low frequency content cardiac action potentials, particularly the P-waves that are generated during atrial activation and storing samples of captured signals. In general, the ICM is intended to be implanted centrally and positioned axially and either over the sternum or slightly to either the left or right of the sternal midline in the parasternal region of the chest.

A system and method for cardiac activation imaging includes non-invasively or minimally invasively acquiring data about an electrical activation of a heart of a subject using at least one sensor. An activation image of the heart of the subject is reconstructed using a weighted sparse constrained reconstruction.

A drug-induced risk prediction system and associated methods are disclosed for predicting at least one of a drug-induced inotropic risk and a pro-arrhythmia risk in connection with an at least one drug, based on a select at least one contractility parameter associated with an at least one heart.

A medical device senses cardiac electrical signals including T-waves attendant to ventricular myocardial repolarizations and detects a T-wave template condition associated with non-pathological changes in T-wave morphology. The device generates a T-wave template from T-waves sensed by the sensing circuit during the T-wave template condition. After generating the T-wave template, the device acquires a T-wave signal from the cardiac electrical signal and compares the acquired T-wave signal to the T-wave template. The device detects a pathological event in response to the acquired T-wave signal not matching the T-wave template.

Disclosed is a method for computerizing delineation and/or multi-label classification of an ECG signal, including: applying a neural network to the ECG, labelling the ECG, and optionally displaying the labels according to time with the ECG signal.

Methods, systems and devices for providing cardiac resynchronization therapy (CRT) to a patient using a leadless cardiac pacemaker (LCP) and an extracardiac device (ED). The LCP is configured to deliver pacing therapy at a pacing interval. Illustratively, the ED may be configured to analyze the cardiac cycle including a portion preceding the pacing therapy delivery for one or several cardiac cycles, and determine whether an interval from the P-wave to the pace therapy in the cardiac cycle(s) is in a desired range. In an example, if the P-wave to pace interval is outside the desired range, the ED communicates to the LCP to adjust the pacing interval.