Abstract: There is provided a computer implemented method of diagnosing a heart condition, comprising: accessing a time-synchronized dataset including a plurality of ECG cycles captured by an ECG sensor over a plurality of cardiac cycles of a subject that are time-synchronized with a plurality of physiological signals captured by at least one physiological sensor over a plurality of physiological cycles of the subject, subtracting a baseline from the plurality of ECG cycles, computing spatiotemporal variability of a combination of at least a portion of the plurality of ECG cycles and the time-synchronized plurality of physiological signals, analyzing the spatiotemporal variability of the combination, and diagnosing the heart condition according to the analysis.

Abstract: There is provided a computer implemented method of diagnosing a heart condition, comprising: accessing a time-synchronized dataset including a plurality of ECG cycles captured by an ECG sensor over a plurality of cardiac cycles of a subject that are time-synchronized with a plurality of physiological signals captured by at least one physiological sensor over a plurality of physiological cycles of the subject, subtracting a baseline from the plurality of ECG cycles, computing spatiotemporal variability of a combination of at least a portion of the plurality of ECG cycles and the time-synchronized plurality of physiological signals, analyzing the spatiotemporal variability of the combination, and diagnosing the heart condition according to the analysis.