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Session: Poster Session 1 (Even numbers)
Session starts: Thursday 26 January, 16:00
Presentation starts: 16:00

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Hanie Moghaddasi (TU Delft)
Richard Hendriks (TU Delft)
Alle-Jan van der Veen (TU Delft)
Natasja de Groot (Erasmus MC)
Borbala Hunyadi (TU Delft)

Abstract:
Understanding the causes behind atrial fibrillation (AF) can be aided by employing intra-operative epicardial measures to examine action potentials (AP). Indeed electropathological characteristics derived from intra-operative epicardial measurements, such as conduction block (CB) and continuous conduction delay and block (cCDCB), can be used to assess the severity of AF. However, these parameters do not show a significant difference between patients having different degrees of AF while they are in sinus rhythm. The electropathology of atrial tissue can be comprehended from complementary features besides the parameters based on conduction velocity and wavefront propagation. It is important to note that beyond the wavefront propagation, there is an action potential that initiates and maintains the propagating wavefront. A wavefront may propagate normally even while the underlying APs are abnormal. In light of the possibility that variation in the atrial potential waveforms might be related to AF onset and maintenance, we develop a method in this study to assess the severity of AF. Using a singular value decomposition (SVD), we demonstrated that the spatial variation of atrial potential morphologies during a single beat can be expressed by two rank-based features proposed in this work. During sinus rhythm, we used 293 beats from patients who had experienced paroxysmal or persistent AF. Feeding a random forest classifier, we achieved 78.42% classification accuracy, while classification based on the CB and cCDCB led to an accuracy of 58.34%.