Abstract: Systems and methods for serial analysis of electrocardiograms are presented, wherein serial electrocardiographic (ECG) assessment is incorporated with three-dimensional vectorial analysis of the cardiac electrical signal, using changes in novel 3D-based vectorial markers over time to improve diagnostic sensitivity for acute coronary syndromes (ACS), and improve differentiation of ACS from the broad range of heart diseases that resemble ACS on ECG.

Abstract: Systems and methods for analyzing electronic cardiac signals for use in clinical diagnostics are described. Parameters pertinent to a first cardiac condition of a patient, such as determining an orientation of a vector related to the cardiac activity of said patient, and comparing the vector orientation relative to a centerpoint of a population distribution representative of a second cardiac condition, may be utilized. The second cardiac condition may be selected from the group consisting of benign early repolarization, left ventricular hypertrophy, and right bundle branch block. System and method embodiments are configured to assist in the analysis of details of EKG signals and vector cardiograms to determine how patients should be categorized into specific cardiac risk categories, such as an acute coronary syndrome category.

Abstract: Systems and methods for analyzing electronic cardiac signals for use in clinical diagnostics are described. System and method embodiments are configured to assist in the analysis of details of EKG signals and vector cardiograms to determine how patients should be categorized into specific cardiac risk categories, such as an acute coronary syndrome category. System configurations may comprise memory devices, computing systems, and EKG data sources positioned at various local or remote positions, and connected via various data connectivity modalities. Various parameters may be utilized to assist in the drawing of one or more conclusions regarding the cardiac condition of a patient.

Abstract: Systems and methods for analyzing electronic cardiac signals for use in clinical diagnostics are described. System and method embodiments are configured to assist in the analysis of details of EKG signals and vector cardiograms to determine how patients should be categorized into specific cardiac risk categories, such as an acute coronary syndrome category. System configurations may comprise memory devices, computing systems, and EKG data sources positioned at various local or remote positions, and connected via various data connectivity modalities. Various parameters may be utilized to assist in the drawing of one or more conclusions regarding the cardiac condition of a patient.