Key result
Spatial-temporal ECGI processing best estimates bipolar electrograms using spatial amplitude differences and a ~40-sample delay.
Why the study?
ECGI signals need conditioning and adaptation to electrophysiology methods, including deriving bipolar electrograms, to maximize clinical utility.
Spatial-temporal digital signal processing and specific mathematical operators can improve the estimation of bipolar electrograms from ECGI recordings, potentially enhancing their clinical utility.
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May enhance ECGI mapping accuracy in clinical electrophysiology; extends spatial-temporal processing methods for arrhythmia research.
Caulier‐Cisterna et al. (2020) studied Cardiac electrophysiology (n=2). Spatial-temporal digital signal processing for ECGI was evaluated on Estimation of bipolar electrograms from ECGI-estimated epicardium potentials. Spatial-temporal signal processing of ECGI data best estimated bipolar electrograms using maximum-amplitude difference between spatial neighbors and a temporal delay of about 40 samples.
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