Abstract: Cardiac activity can be mapped by receiving an electrogram, transforming the electrogram into the wavelet domain (e.g., using a continuous wavelet transformation) to create a scalogram of the electrogram, computing at least one energy function of the scalogram, and computing at least one metric of the electrogram using the at least one energy function. The metrics of the electrogram can include, without limitation: a QRS activity duration for the electrogram; a near-field component duration for the electrogram; a far-field component duration for the electrogram; a number of multiple components for the electrogram; a slope of a sharpest component of the electrogram; a scalogram width; an energy ratio in the electrogram; and a cycle-length based metric of the electrogram.

Abstract: Cardiac repolarization activity can be mapped using action potential duration (“APD”) and/or activation recovery interval (“ARI”). APD can be measured using a bipolar electrogram signal measured, for example, using a monophasic action potential (“MAP”) catheter. ARI can be measured using unipolar electrogram signals. The electrogram signal is used to identify a depolarization tick time. A repolarization tick time can be identified using either a point in time when the electrogram signal passes below a threshold or via local maxima and minima of a first derivative of the electrogram signal. Diastolic intervals can also be computed using depolarization and repolarization tick times.

Abstract: Cardiac activity can be mapped by receiving an electrogram, transforming the electrogram into the wavelet domain (e.g., using a continuous wavelet transformation) to create a scalogram of the electrogram, computing at least one energy function of the scalogram, and computing at least one metric of the electrogram using the at least one energy function. The metrics of the electrogram can include, without limitation: a QRS activity duration for the electrogram; a near-field component duration for the electrogram; a far-field component duration for the electrogram; a number of multiple components for the electrogram; a slope of a sharpest component of the electrogram; a scalogram width; an energy ratio in the electrogram; and a cycle-length based metric of the electrogram.

Abstract: Cardiac activity can be mapped by receiving an electrogram, transforming the electrogram into the wavelet domain (e.g., using a continuous wavelet transformation) to create a scalogram of the electrogram, computing at least one energy function of the scalogram, and computing at least one metric of the electrogram using the at least one energy function. The metrics of the electrogram can include, without limitation: a QRS activity duration for the electrogram; a near-field component duration for the electrogram; a far-field component duration for the electrogram; a number of multiple components for the electrogram; a slope of a sharpest component of the electrogram; a scalogram width; an energy ratio in the electrogram; and a cycle-length based metric of the electrogram.

Abstract: A method of mapping cardiac restitution includes: receiving a plurality of EP data points including location and restitution data; identifying a subset of the EP data points forming an EP data point cluster; fitting a restitution curve to the restitution data of the EP data points forming the cluster; and identifying at least one restitution metric for a region of the cardiac surface corresponding to the cluster from the restitution curve. The restitution curve can be an exponential function using quiescent interval data (e.g., DI and/or CL) as the independent variable and cardiac repolarization activity data (e.g., APD, ARI, and/or EGM width) as the dependent variable. The parameters of the exponential function can be determined by optimizing a cost function. A graphical representation of the restitution metric can also be output on a three-dimensional model of the cardiac surface.

Abstract: Cardiac activity can be mapped by receiving an electrogram, transforming the electrogram into the wavelet domain (e.g., using a continuous wavelet transformation) to create a scalogram of the electrogram, computing at least one energy function of the scalogram, and computing at least one metric of the electrogram using the at least one energy function. The metrics of the electrogram can include, without limitation: a QRS activity duration for the electrogram; a near-field component duration for the electrogram; a far-field component duration for the electrogram; a number of multiple components for the electrogram; a slope of a sharpest component of the electrogram; a scalogram width; an energy ratio in the electrogram; and a cycle-length based metric of the electrogram.

Abstract: Cardiac repolarization activity can be mapped using action potential duration (“APD”) and/or activation recovery interval (“ARI”). APD can be measured using a bipolar electrogram signal measured, for example, using a monophasic action potential (“MAP”) catheter. ARI can be measured using unipolar electrogram signals. The electrogram signal is used to identify a depolarization tick time. A repolarization tick time can be identified using either a point in time when the electrogram signal passes below a threshold or via local maxima and minima of a first derivative of the electrogram signal. Diastolic intervals can also be computed using depolarization and repolarization tick times.

Abstract: A method of mapping cardiac restitution includes: receiving a plurality of EP data points including location and restitution data; identifying a subset of the EP data points forming an EP data point cluster; fitting a restitution curve to the restitution data of the EP data points forming the cluster; and identifying at least one restitution metric for a region of the cardiac surface corresponding to the cluster from the restitution curve. The restitution curve can be an exponential function using quiescent interval data (e.g., DI and/or CL) as the independent variable and cardiac repolarization activity data (e.g., APD, ARI, and/or EGM width) as the dependent variable. The parameters of the exponential function can be determined by optimizing a cost function. A graphical representation of the restitution metric can also be output on a three-dimensional model of the cardiac surface.