A system is provided for generating a classifier for classifying electromagnetic data (e.g., ECG) derived from an electromagnetic source (e.g., heart). The system accesses a computational model of the electromagnetic source. The computational model models the electromagnetic output of the electromagnetic source over time based on a source configuration (e.g., rotor location) of the electromagnetic source. The system generates, for each different source configuration (e.g., different rotor locations), a modeled electromagnetic output (e.g., ECG) of the electromagnetic source for that source configuration. For each modeled electromagnetic output, the system derives the electromagnetic data for the modeled electromagnetic output and generates a label (e.g., rotor location) for the derived electromagnetic data from the source configuration for the modeled electromagnetic data. The system trains a classifier with the derived electromagnetic data and the labels as training data. The classifier can then be used to classify the electromagnetic output collected from patients.

A wearable cardioverter defibrillator (WCD) system includes a support structure that the patient may wear, and one or more sensors that may acquire patient physiological signals, such as ECG and others. A processor of the WCD system may determine diagnostics from the patient physiological signals. These diagnostics include a six-second ECG portion, heart rates as histograms, heart rates against QRS width, heart rate trends, clinical event counters, diagnostics relating to heart rate variability and about the atrial arrhythmia burden of the patient. In some embodiments, the WCD system includes a user interface with a screen that displays these diagnostics. In some embodiments, the WCD system exports these diagnostics for viewing by a different screen. When viewed, these diagnostics permit more detailed analysis of the state of the patient.

Methods and systems are provided for detecting arrhythmias in cardiac activity. The methods and systems declare a current beat, from the CA signals, to be a candidate beat or an ineligible beat based on whether the current beat satisfies the rate based selection criteria. The determining and declaring operations are repeated for multiple beats to form an ensemble of candidate beats. The method and system calculate a P-wave segment ensemble from the ensemble of candidate beats, perform a morphology-based comparison between the P-wave segment ensemble and at least one of a monophasic or biphasic template, declare a valid P-wave to be present within the CA signals based on the morphology-based comparison, and utilize the valid P-wave in an arrhythmia detection process to determine at least one of an arrhythmia entry, arrhythmia presence or arrhythmia exit.

A method includes receiving, in a processor, a two-dimensional (2D) electroanatomical (EA) map of an interior surface of at least a portion of a cavity of an organ of a patient, the 2D EA map including electrophysiological (EP) values measured at respective locations on the interior surface. A complex analytic function is fitted to a set of the EP values that were measured in a given region of the 2D EA map. A singularity is identified in the fitted complex analytic function. The region is projected onto a three-dimensional (3D) EA map of the interior surface. At least part of the 3D E A map is presented to a user, including indicating an arrhythmogenic EP activity at a location on the 3D E A map corresponding to the singularity identified in the fitted complex analytic function.

An implantable rechargeable telemetry device (IRTD) for injection into a subject comprising: an ECG monitor in electrical communication with an electrode and adapted for collecting ECG data of a subject, a rechargeable battery adapted for powering the IRTD; and a wireless charging receiver adapted to receive charging current from a charging device to recharge the battery, wherein the collected ECG data is continuously monitored ECG data and wherein the IRTD further comprises a wireless communication device adapted for continuous transmission of the collected continuously monitored ECG data to an external computing device.

A computer implemented method for determining heart arrhythmias based on cardiac activity that includes under control of one or more processors of an implantable medical device (IMD) configured with specific executable instructions to obtain far field cardiac activity (CA) signals at electrodes located remote from the heart, and obtain acceleration signatures, at an accelerometer of the IMD, indicative of heart sounds generated during the cardiac beats. The IMD is also configured with specific executable instructions to declare a candidate arrhythmia based on a characteristic of at least one R-R interval from the cardiac beats, and evaluate the acceleration signatures for ventricular events (VEs) to re-assess a presence or absence of at least one R-wave from the cardiac beats and based thereon confirming or denying the candidate arrhythmia.

A system and method for ECG data classification for use in facilitating diagnosis of cardiac rhythm disorders is provided. ECG data is obtained via an electrocardiography monitor shaped for placement on a patient's chest. The ECG data is divided into segments and noise detection analysis is applied to the ECG data segments. A noise classification or a valid classification is assigned to each segment of the ECG data. At least one ECG data segment assigned the noise classification and that includes ECG data that corresponds with feedback from the patient via the electrocardiography monitor is identified. The ECG data that corresponds with the patient feedback is removed from the identified ECG data segment with the noise classification. The ECG data segments assigned the noise classification are removed from further analysis.

Systems and techniques for managing biological signals. In one implementation, a method includes receiving a cardiac biological signal that includes information describing events, determining a merit of each event based on one or more of a severity of a cardiac condition associated with the event and a quality of the event, and handling a subset of the events that meet a merit criterion. The subset can be handled for medical purposes.

A system and method for facilitating a cardiac rhythm disorder diagnosis with the aid of a digital computer is provided. Cutaneous action potentials of a patient are recorded over a set period of time as ECG data and a difference between recording times of successive pairs of R-wave peaks are recorded as R-R intervals. A heart rate is associated with each time difference. An R-R interval plot of the ECG data is generated. A presence of a cardiac event is displayed by presenting a presence of sinus tachycardia or a presence of bradycardia via the R-R interval plot.

A system for use during administration of cardiopulmonary resuscitation (CPR) chest compressions on a victim is described. The system includes a chest compression monitor that includes a motion sensor configured to generate signals indicative of the victim's chest motion and a control system communicatively coupled to the chest compression monitor and configured to receive the generated signals, detect compression waveform features representative of the chest compressions based on the received signals, compare the features to a pre-determined criterion that distinguishes between a manual source of the chest compressions and a piston-based chest compression device source, determine whether the source of the chest compressions is the manual or the piston-based chest compression device source based on the comparison, and generate an output based on whether the source of the chest compressions is determined to be the manual or the piston-based chest compression device source.