The Effects of Long- and Short-term Memory on Action Potential Duration for Atrial Cellular Automata

• Main Authors: Romitti, Giada S., Romero, Pau, Liberos, Alejandro, Serra, Dolors, Garcia-Fernandez, Ignacio, Lozano, Miguel, Sebastian, Rafael, Rodrigo, Miguel
• Format: Conference Proceeding
• Language: English
• Subjects: Action potentials; Automata; Biological system modeling; Computational modeling; Estimation; Medical treatment; Protocols
• ISSN: 2325-887X
• DOI: 10.22489/CinC.2022.258

Biophysical atrial simulation can improve therapies by simulating ablative and pharmacological strategies, although their use is limited by their high computational cost. Simpler cardiac automata can achieve acceptable timeframes, calculating the Action Potential Duration ({A}PD) from the previous Diastolic Interval (DI) , although it is necessary to question whether this approach is sufficient for short- and long-term simulations. The analysis of 992 simulated activation protocols showed an expected increase of the {A}PD with the previous DI interval. Short-term memory at long-term simulations was showed as the dependency of APD^{+1} with the previous activation (APD^{0}) : shorter APD^{0} provoked shorter APD^{+1} , and this effect was comparable to the effect of previous DI Independent prediction based on both APD^{0} and DI allowed better estimation of APD^{+1} values (14\pm 10ms) , compared to using DI alone (29\pm 19ms,\ p=0.029) . Atrial automata should consider short term memory, as duration of previous activations, to accurately estimate posterior APD in long-term simulations, to mimic the natural electrophysiological response.