A computer implemented method and system to detect P-waves in cardiac activity is provided. The system includes memory to store specific executable instructions. One or more processors are configured to execute the specific executable instructions for obtaining far field cardiac activity (CA) signals for a series of beats, applying a P-wave template to at least one sub-segment of the CA signals to obtain an alignment indicator and calculating an amplitude dependence (AD) indicator based at least in part on the P-wave template and the at least one sub-segment. The system analyzes the alignment indicator based on a first criteria, compares the AD indicator with a second criteria, designates a candidate P-wave to be an actual P-wave based on the analyzing and comparing and records results of the designating.

A determination device (100) for determining the origin of an arrhythmia and a mapping system (200) are disclosed. In the determination device (100), an analysis unit (120) is configured to process ECG data extracted over a predetermined period of time by a data extracting unit (110) and input the processed data into a determination model (131), where a calculation is performed thereon to produce origin information about the origin. An output unit (140) is configured to output the origin information, and a model configuration unit (130) is configured to configure the determination model (131). The determination device (100) allows identifying a cardiac site suitable for focused mapping, thereby dispensing with the need to map the whole heart and shortening the time required for mapping. The mapping system (200) includes the determination device (100). With the origin information about the arrhythmia's origin, a physician can know a cardiac site corresponding to the origin of the arrhythmia in a timely manner before or during a procedure. This can reduce the time required for mapping and result in an enhancement in surgical efficiency.

A determination device (100) for determining the origin of an arrhythmia and a mapping system (200) are disclosed. In the determination device (100), an analysis unit (120) is configured to process ECG data extracted over a predetermined period of time by a data extracting unit (110) and input the processed data into a determination model (131), where a calculation is performed thereon to produce origin information about the origin. An output unit (140) is configured to output the origin information, and a model configuration unit (130) is configured to configure the determination model (131). The determination device (100) allows identifying a cardiac site suitable for focused mapping, thereby dispensing with the need to map the whole heart and shortening the time required for mapping. The mapping system (200) includes the determination device (100). With the origin information about the arrhythmia's origin, a physician can know a cardiac site corresponding to the origin of the arrhythmia in a timely manner before or during a procedure. This can reduce the time required for mapping and result in an enhancement in surgical efficiency.

This disclosure describes systems and methods for electrocardiographic waveform analysis, data presentation and actionable advisory generation. Electrocardiographic waveform data can be received from a wearable device associated with a patient. A mathematical analysis can be performed on the electrocardiographic waveform data to provide cardiac analytics. A visualization of the cardiac analytics on a dashboard display can be generated. A value can be based on a comparison of the cardiac analytics to at least one baseline value for the patient; and a decision of whether or not to generate an actionable advisory for the electrocardiographic waveform data can be made based on the value. When the actionable advisory is generated, the actionable advisory is sent to one or more medical professionals, where it can be modified, and displayed with the visualization of the cardiac analytics.

A medical device is configured to receive sensed cardiac event data including a value of a feature determined from each one of a plurality of cardiac events sensed from a cardiac signal according to a first setting of a sensing control parameter. The medical device is configured to classify each value of the feature of each one of the sensed cardiac events as either a predicted sensed event or a predicted undersensed event according to a second setting of the sensing control parameter that is less sensitive to sensing cardiac events than the first setting. The medical device is configured to determine a predicted sensed event interval between each consecutive pair of the predicted sensed events and predict that an arrhythmia is detected or not detected based on the predicted sensed event intervals.

A method includes acquiring intracardiac unipolar signals and intracardiac bipolar signals at a given region of a heart of a patient. The unipolar signals are pruned by eliminating ones of the unipolar signals that correspond in time to respective bipolar signals. One or more unipolar signals are identified among the pruned unipolar signals, that are associated with far-field P-waves. Using the identified P-waves, a window of interest (WOI) is set on electrograms acquired in an atrium of the heart, and, using the electrograms having the set WOI, an electrophysiological (EP) map is generated, of the atrium indicative of atrial tachycardia (AT) tissue locations therein.

A method includes acquiring intracardiac unipolar signals and intracardiac bipolar signals at a given region of a heart of a patient. The unipolar signals are pruned by eliminating ones of the unipolar signals that correspond in time to respective bipolar signals. One or more unipolar signals are identified among the pruned unipolar signals, that are associated with far-field P-waves. Using the identified P-waves, a window of interest (WOI) is set on electrograms acquired in an atrium of the heart, and, using the electrograms having the set WOI, an electrophysiological (EP) map is generated, of the atrium indicative of atrial tachycardia (AT) tissue locations therein.

Disclosed herein are methods, systems, and apparatus for treating a medical condition of a patient, involving detecting a physiological cycle or cycles of the patient and applying an electrical signal to a portion of the patient's vagus nerve through an electrode at a selected point in the physiological cycle(s). The physiological cycle can be the cardiac and/or respiratory cycle. The selected point can be a point in the cardiac cycle correlated with increased afferent conduction on the vagus nerve, such as a point from about 10 msec to about 800 msec after an R-wave of the patient's ECG, optionally during inspiration by the patient. The selected point can be a point in the cardiac cycle when said applying increases heart rate variability, such as a point from about 10 msec to about 800 msec after an R-wave of the patient's ECG, optionally during expiration by the patient.

There is provided a computer-implemented method for identifying abnormal QRS-complexes in an ECG signal comprising: receiving an ECG signal with detected QRS-complexes; calculating and normalizing a plurality of geometric measures of the QRS-complexes; constructing an RGB image with three two-dimensional matrices, each matrix corresponding to one of the calculated plurality of geometric measures, the geometric measures belonging to one QRS-complex have the same matrix index across the three two-dimensional matrices; transforming the RGB image to a plurality of gray-scale images; computing histograms of each of the plurality of gray-scale image; iteratively comparing every histogram peak to its previous one; and marking pixel intensities corresponding to histogram peaks with a difference value of equal or greater than a predefined threshold referred to as a saliency threshold, as salient pixels; using saliency detection for mapping salient pixels indices onto the ECG signal and classifying the salient pixel indices as abnormal QRS complexes.

The present disclosure describes various systems and methods of modifying a display to automatically visually trace an abnormality associated with a physiological signal received from a patient (i.e., subject). In particular aspects, the systems and methods described herein utilize three-dimensional display outputs of physiological signals that allow for the immediate differentiation between normal portions of the physiological signal and abnormal portions of the physiological signal.