Non-invasive method and system for characterizing cardiovascular systems for all-cause mortality and sudden cardiac death risk

摘要

Methods and systems for evaluating the electrical activity of the heart to identify novel ECG patterns closely linked to the subsequent development of serious heart rhythm disturbances and fatal cardiac events. Two approaches are describe, for example a model-based analysis and space-time analysis, which are used to study the dynamical and geometrical properties of the ECG data. In the first a model is derived using a modified Matching Pursuit (MMP) algorithm. Various metrics and subspaces are extracted to characterize the risk for serious heart rhythm disturbances, sudden cardiac death, other modes of death, and all-cause mortality linked to different electrical abnormalities of the heart. In the second method, space-time domain is divided into a number of regions (e.g., 12 regions), the density of the ECG signal is computed in each region and input to a learning algorithm to associate them with these events.

主权项

1. A method for quantifying the risk of serious arrhythmias, sudden cardiac death, or other modes of death and all-cause mortality events in mammals, comprising:
obtaining ECG data, the ECG data comprising at least one heart beat cycle; processing the ECG data to detect patterns that predict a risk of sudden cardiac death, other modes of death, and all-cause mortality, the processing being performed without the use of data from other measuring devices or invasive procedures, the ECG data including at least 12 dimensional dynamical phase space densities, the processing including using a time interval to quantify the risk of sudden cardiac death, other modes of death, and all-cause mortality; and creating a 3-D phase space plot from processed ECG data, the 3-D phase space plot visualization providing a visual indication of regions of a heart that include abnormal heart tissue, wherein the at least one heart beat cycle corresponds to a vector sum electrical activation pathway through the heart, and wherein the vector sum electrical activation pathway is used with time information associated with the at least 12 dimensional dynamical space density to determine the risk of sudden cardiac death, other modes of death and all-cause mortality.