Periodic electrical signal data, such as electrocardiogram signal data, is collected, analyzed, and transformed into compacted, multi-dimensional matrix that makes it easier for healthcare professionals to analyze the health condition of a patient. The electrical signal data, characterized by periodic deflection elements that collectively form a periodic signal complex, is analyzed to determine peaks of deflection elements, where peaks can vary greatly, but in ways not readily visible on standard electrocardiograms. The techniques create and display the multi-dimensional matrix from aligning identified peaks, so that the matrix can be readily overlayed with an automatically-identified signal pattern indicative of one or more of an arrhythmia, a precursor to an arrhythmia, a cardiac event, and/or a precursor to a cardiac even.
