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Quantifying Effects of Class I Anti-arrhythmic Drugs in Human Virtual Cardiac Tissues

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Biomedical Simulation (ISBMS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5104))

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Abstract

Ventricular tachycardia and fibrillation are dangerous cardiac arrhythmias. Anti-arrhythmic drugs such as lidocaine (a class I drug) reinstate normal sinus rhythm, but they have pro-arrhythmic side effects and their mechanisms of action are poorly understood. We used computational models of human ventricular tissues to elucidate and quantify these mechanisms.

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Authors and Affiliations

  1. Institute of Membrane and Systems Biology & Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, LS2 9JT, UK

    Alan P. Benson, Stephen H. Gilbert & Arun V. Holden

  2. School of Medicine, University of Leeds, Leeds, LS2 9JT, UK

    Jennifer A. Lawrenson

Authors
  1. Alan P. Benson
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  2. Jennifer A. Lawrenson
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  3. Stephen H. Gilbert
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  4. Arun V. Holden
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Fernando Bello P. J. Eddie Edwards

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© 2008 Springer-Verlag Berlin Heidelberg

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Benson, A.P., Lawrenson, J.A., Gilbert, S.H., Holden, A.V. (2008). Quantifying Effects of Class I Anti-arrhythmic Drugs in Human Virtual Cardiac Tissues. In: Bello, F., Edwards, P.J.E. (eds) Biomedical Simulation. ISBMS 2008. Lecture Notes in Computer Science, vol 5104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70521-5_23

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  • DOI: https://doi.org/10.1007/978-3-540-70521-5_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70520-8

  • Online ISBN: 978-3-540-70521-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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