Appropriate signal processing and analysis techniques for cardiac optical mapping data are essential to prevent filter-induced artifacts and ensure accurate interpretation of electrophysiology.
Appropriate digital signal processing of cardiac optical mapping data is critical to avoid filter-induced artifacts that can alter the physiological interpretation of electrophysiological parameters.
Optical mapping has become an increasingly important tool to study cardiac electrophysiology in the past 20 years. Multiple methods are used to process and analyze cardiac optical mapping data, and no consensus currently exists regarding the optimum methods. The specific methods chosen to process optical mapping data are important because inappropriate data processing can affect the content of the data and thus alter the conclusions of the studies. Details of the different steps in processing optical imaging data, including image segmentation, spatial filtering, temporal filtering, and baseline drift removal, are provided in this review. We also provide descriptions of the common analyses performed on data obtained from cardiac optical imaging, including activation mapping, action potential duration mapping, repolarization mapping, conduction velocity measurements, and optical action potential upstroke analysis. Optical mapping is often used to study complex arrhythmias, and we also discuss dominant frequency analysis and phase mapping techniques used for the analysis of cardiac fibrillation.
Laughner et al. (Sat,) conducted a review in Cardiac electrophysiology. Optical mapping data processing was evaluated. Appropriate signal processing and analysis techniques for cardiac optical mapping data are essential to prevent filter-induced artifacts and ensure accurate interpretation of electrophysiology.
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