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CVAR-Seg: An Automated Signal Segmentation Pipeline for Conduction Velocity and Amplitude Restitution

Nothstein, Mark 1; Luik, Armin; Jadidi, Amir; Sánchez, Jorge 1; Unger, Laura A. 1; Wülfers, Eike M.; Dössel, Olaf 1; Seemann, Gunnar; Schmitt, Claus; Loewe, Axel ORCID iD icon 1
1 Institut für Biomedizinische Technik (IBT), Karlsruher Institut für Technologie (KIT)


Background: Rate-varying S1S2 stimulation protocols can be used for restitution studies to characterize atrial substrate, ionic remodeling, and atrial fibrillation risk. Clinical restitution studies with numerous patients create large amounts of these data. Thus, an automated pipeline to evaluate clinically acquired S1S2 stimulation protocol data necessitates consistent, robust, reproducible, and precise evaluation of local activation times, electrogram amplitude, and conduction velocity. Here, we present the CVAR-Seg pipeline, developed focusing on three challenges: (i) No previous knowledge of the stimulation parameters is available, thus, arbitrary protocols are supported. (ii) The pipeline remains robust under different noise conditions. (iii) The pipeline supports segmentation of atrial activities in close temporal proximity to the stimulation artifact, which is challenging due to larger amplitude and slope of the stimulus compared to the atrial activity.

Methods and Results: The S1 basic cycle length was estimated by time interval detection. Stimulation time windows were segmented by detecting synchronous peaks in different channels surpassing an amplitude threshold and identifying time intervals between detected stimuli. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000133986
Veröffentlicht am 20.09.2021
DOI: 10.3389/fphys.2021.673047
Zitationen: 4
Web of Science
Zitationen: 4
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biomedizinische Technik (IBT)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 24.05.2021
Sprache Englisch
Identifikator ISSN: 1664-042X
KITopen-ID: 1000133986
Erschienen in Frontiers in Physiology
Verlag Frontiers Media SA
Band 12
Seiten 673047
Nachgewiesen in Dimensions
Web of Science
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