New index for categorising cardiac reentrant wave: in silico evaluation.
Based on the similarity between a reentrant wave in cardiac tissue and a vortex in fluid dynamics, the authors hypothesised that a new non-dimensional index, like the Reynolds number in fluid dynamics, may play a critical role in categorising reentrant wave dynamics. Therefore the goal of the present study is to devise a new index to characterise electric wave conduction in cardiac tissue and examined whether this index can be used as a biomarker for categorising the reentrant wave pattern in cardiac tissue. Similar to the procedure used to derive the Reynolds number in fluid dynamics, the authors used a non-dimensionalisation technique to obtain the new index. Its usefulness was verified using a two-dimensional simulation model of electrical wave propagation in cardiac tissue. The simulation results showed that electrical waves in cardiac tissue move into an unstable region when the index exceeds a threshold value.
Department of Mechanical & Biomedical Engineering, Kangwon National University, Republic of Korea. ebshim@kangwon.ac.kr
E B
EB
Shim
S-B
SB
Hong
K M
KM
Lim
C H
CH
Leem
C-H
CH
Youn
H-N
HN
Pak
Y E
YE
Earm
D
D
Noble
D000200:Action Potentials; D001145:Arrhythmias, Cardiac / Q000503:physiopathology; D015415:Biomarkers / Q000378:metabolism; D002309:Cardiology / Q000379:methods; D019295:Computational Biology; D003198:Computer Simulation; D004594:Electrophysiology / Q000379:methods; D006321:Heart / Q000502:physiology*; D006329:Heart Conduction System / Q000502:physiology*; D006801:Humans; D008955:Models, Cardiovascular; D008962:Models, Theoretical; D012015:Reference Standards; D012212:Rheology / Q000379:methods; D049490:Systems Biology / Q000379:methods
D015415:Biomarkers