Abonnement à la biblothèque: Guest
Critical Reviews™ in Biomedical Engineering

Publication de 6  numéros par an

ISSN Imprimer: 0278-940X

ISSN En ligne: 1943-619X

SJR: 0.262 SNIP: 0.372 CiteScore™:: 2.2 H-Index: 56

Indexed in

Electrophysiological Cardiac Modeling: A Review

Volume 44, Numéro 1-2, 2016, pp. 99-122
DOI: 10.1615/CritRevBiomedEng.2016016454
Get accessGet access

RÉSUMÉ

Cardiac electrophysiological modeling in conjunction with experimental and clinical findings has contributed to better understanding of electrophysiological phenomena in various species. As our knowledge on underlying electrical, mechanical, and chemical processes has improved over time, mathematical models of the cardiac electrophysiology have become more realistic and detailed. These models have provided a testbed for various hypotheses and conditions that may not be easy to implement experimentally. In addition to the limitations in experimentally validating various scenarios implemented by the models, one of the major obstacles for these models is computational complexity. However, the ever-increasing computational power of supercomputers facilitates the clinical application of cardiac electrophysiological models. The potential clinical applications include testing and predicting effects of pharmaceutical agents and performing patient-specific ablation and defibrillation. A review of studies involving these models and their major findings are provided.

CITÉ PAR
  1. Nguyen Thanh Danh, Kadri Olufemi E., Voronov Roman S., An Introductory Overview of Image-Based Computational Modeling in Personalized Cardiovascular Medicine, Frontiers in Bioengineering and Biotechnology, 8, 2020. Crossref

  2. Hamada Hiroyuki, Tomo Tadashi, Kim Sung-Teh, Hanai Taizo, Okamoto Masahiro, Yamashita Akihiro C., Electrophysiological insights into the relationship between calcium dynamics and cardiomyocyte beating function in chronic hemodialysis treatment, Journal of Artificial Organs, 24, 1, 2021. Crossref

  3. Langthaler Sonja, Lozanović Šajić Jasmina, Rienmüller Theresa, Weinberg Seth H., Baumgartner Christian, Ion Channel Modeling beyond State of the Art: A Comparison with a System Theory-Based Model of the Shaker-Related Voltage-Gated Potassium Channel Kv1.1, Cells, 11, 2, 2022. Crossref

Portail numérique Bibliothèque numérique eBooks Revues Références et comptes rendus Collections Prix et politiques d'abonnement Begell House Contactez-nous Language English 中文 Русский Português German French Spain