Abstract: The invention provides a method and system for analyzing an ECG signal to diagnose a heart condition of an individual. A sequence HBi of consecutive heart beat durations in an ECG signal is obtained. One or more first parameters are calculated in a calculation involving pairs of HBi and HBi-m, where m is a first predetermined integer and HBi-m is the duration of the heart beat that occurred m heart beats before the ith heart beat. One or more second parameters are calculated in a calculation involving pairs of HBi and HBBi-n, where n is second predetermined integer different from m. A diagnostic parameter is then calculated using the plurality of first parameters and the plurality of second parameters. The diagnostic parameter is compared to a predetermined threshold, and a diagnosis is made based on the comparison.

Abstract: A diagnostic method includes receiving data comprising a series of heartbeat intervals acquired from a patient (22). A first type of computation, selected from a group of computation types consisting of time-domain analysis (82), frequency-domain analysis (84), and nonlinear fractal analysis (86), is applied to the data in order to compute a first measure of heart rate variability (HRV) of the patient. A second type of computation, selected from the group and different from the first type, is applied to the data in order to compute a second measure of the HRV of the patient. At least the first and second measures are combined so as to derive a parameter indicative of a condition of cardiac health of the patient.

Abstract: The invention provides a method and system for analyzing an ECG signal to diagnose a heart condition of an individual. A sequence HBi of consecutive heart beat durations in an ECG signal is obtained. One or more first parameters are calculated in a calculation involving pairs of HBi and HBi-m, where m is a first predetermined integer and HBi-m is the duration of the heart beat that occurred m heart beats before the ith heart beat. One or more second parameters are calculated in a calculation involving pairs of HBi and HBBi-n, where n is second predetermined integer different from m. A diagnostic parameter is then calculated using the plurality of first parameters and the plurality of second parameters. The diagnostic parameter is compared to a predetermined threshold, and a diagnosis is made based on the comparison.