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Laplacian ECG (LECG) is a new technique for detecting cardiac electrical activity. An algorithm was designed utilizing ECG QRS complexes to determine where cardiac activity was likely present in the LECG. The recurrent property of ECG is exploited by this new algorithm for the detection of the QRS complexes by cross (auto) correlation. Further, the algorithm calculates the time offset of the LECG signal from the ECG peak. This offset is termed the moment of activation (MoA) and is determined automatically. LECG body surface isochronal maps depict information about cardiac activation patterns. Besio related the ECG QRS complex to the LECG isochrones by mapping the body surface MoAs. We now report on an algorithm to increase the efficiency of this method.

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