Key result
Bridging the gap between ECG bio-signal analysis and computer modeling of the heart is necessary to better understand cardiac arrhythmias, improve diagnosis, and optimize therapy.
This review highlights the need to bridge ECG bio-signal analysis and computational myocardial cell modeling to better understand and treat cardiac arrhythmias.
Cardiac arrhythmia is currently investigated from two different points of view. One considers ECG bio-signal analysis and investigates heart rate variability, baroreflex control, heart rate turbulence, alternans phenomena, etc. The other involves building computer models of the heart based on ion channels, bio-domain models and forward calculations to finally reach ECG and body surface potential maps. Both approaches aim to support the cardiologist in better understanding of arrhythmia, improving diagnosis and reliable risk stratification, and optimizing therapy. This article summarizes recent results and aims to trigger new research to bridge the different views.
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Dössel et al. (2006) conducted a review in Cardiac arrhythmia. Bridging the gap between ECG bio-signal analysis and computer modeling of the heart is necessary to better understand cardiac arrhythmias, improve diagnosis, and optimize therapy.
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