Automated Laplacian Ecg Moment of Activation Determination Algorithm during Pacing
نویسنده
چکیده
Laplacian ECG (LECG) is a unique technique for detecting cardiac electrical activity. The recurrent property of ECG is exploited by this unique 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. This unique automated algorithm during pacing, detected QRS complexes correctly 99.3% and mapped isochrones.
منابع مشابه
Filtering of Surface Laplacian Electrocardiograms from Humans to Produce Atrial Activation Patterns
Four digital filtering techniques were evaluated to improve the signal-to-noise ratio (SNR) of directly obtained Laplacian electrograms (LECG), which were bandpass filtered before analog to digital conversion. The moment of activation (MOA) in the LECG was detected to create isochronal body surface maps, which show activation patterns. Unprocessed atrial LECG activity coincided with P-waves in ...
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