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Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Gillette, K; Gsell, MAF; Strocchi, M; Grandits, T; Neic, A; Manninger, M; Scherr, D; Roney, CH; Prassl, AJ; Augustin, CM; Vigmond, EJ; Plank, G.
A personalized real-time virtual model of whole heart electrophysiology.
Front Physiol. 2022; 13: 907190 Doi: 10.3389/fphys.2022.907190 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG


Führende Autor*innen der Med Uni Graz
Gillette Karli
Plank Gernot
Co-Autor*innen der Med Uni Graz
Augustin Christoph
Grandits Thomas
Gsell Matthias
Manninger-Wünscher Martin
Neic Aurel-Vasile
Prassl Anton
Scherr Daniel

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Computer models capable of representing the intrinsic personal electrophysiology (EP) of the heart in silico are termed virtual heart technologies. When anatomy and EP are tailored to individual patients within the model, such technologies are promising clinical and industrial tools. Regardless of their vast potential, few virtual technologies simulating the entire organ-scale EP of all four-chambers of the heart have been reported and widespread clinical use is limited due to high computational costs and difficulty in validation. We thus report on the development of a novel virtual technology representing the electrophysiology of all four-chambers of the heart aiming to overcome these limitations. In our previous work, a model of ventricular EP embedded in a torso was constructed from clinical magnetic resonance image (MRI) data and personalized according to the measured 12 lead electrocardiogram (ECG) of a single subject under normal sinus rhythm. This model is then expanded upon to include whole heart EP and a detailed representation of the His-Purkinje system (HPS). To test the capacities of the personalized virtual heart technology to replicate standard clinical morphological ECG features under such conditions, bundle branch blocks within both the right and the left ventricles under two different conduction velocity settings are modeled alongside sinus rhythm. To ensure clinical viability, model generation was completely automated and simulations were performed using an efficient real-time cardiac EP simulator. Close correspondence between the measured and simulated 12 lead ECG was observed under normal sinus conditions and all simulated bundle branch blocks manifested relevant clinical morphological features.

Find related publications in this database (Keywords)
His-Purkinje system
virtual heart technology
cardiac electrophysiology
12 lead electrocardiogram
cardiac personalization
cardiovascular disease
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