TY - JOUR
T1 - Teaching cardiac electrophysiology modeling to undergraduate students
T2 - Laboratory exercises and GPU programming for the study of arrhythmias and spiral wave dynamics
AU - Bartocci, Ezio
AU - Singh, Rupinder
AU - von Stein, Frederick B.
AU - Amedome, Avessie
AU - Caceres, Alan Joseph J.
AU - Castillo, Juan
AU - Closser, Evan
AU - Deards, Gabriel
AU - Goltsev, Andriy
AU - Ines, Roumwelle Sta
AU - Isbilir, Cem
AU - Marc, Joan K.
AU - Moore, Diquan
AU - Pardi, Dana
AU - Sadhu, Sandeep
AU - Sanchez, Samuel
AU - Sharma, Pooja
AU - Singh, Anoopa
AU - Rogers, Joshua
AU - Wolinetz, Aron
AU - Grosso-Applewhite, Terri
AU - Zhao, Kai
AU - Filipski, Andrew B.
AU - Gilmour, Robert F.
AU - Grosu, Radu
AU - Glimm, James
AU - Smolka, Scott A.
AU - Cherry, Elizabeth M.
AU - Clarke, Edmund M.
AU - Griffeth, Nancy
AU - Fenton, Flavio H.
PY - 2011/12
Y1 - 2011/12
N2 - As part of a 3-wk intersession workshop funded by a National Science Foundation Expeditions in Computing award, 15 undergraduate students from the City University of New York1 collaborated on a study aimed at characterizing the voltage dynamics and arrhythmogenic behavior of cardiac cells for a broad range of physiologically relevant conditions using an in silico model. The primary goal of the workshop was to cultivate student interest in computational modeling and analysis of complex systems by introducing them through lectures and laboratory activities to current research in cardiac modeling and by engaging them in a hands-on research experience. The success of the workshop lay in the exposure of the students to active researchers and experts in their fields, the use of hands-on activities to communicate important concepts, active engagement of the students in research, and explanations of the significance of results as the students generated them. The workshop content addressed how spiral waves of electrical activity are initiated in the heart and how different parameter values affect the dynamics of these reentrant waves. Spiral waves are clinically associated with tachycardia, when the waves remain stable, and with fibrillation, when the waves exhibit breakup. All in silico experiments were conducted by simulating a mathematical model of cardiac cells on graphics processing units instead of the standard central processing units of desktop computers. This approach decreased the run time for each simulation to almost real time, thereby allowing the students to quickly analyze and characterize the simulated arrhythmias. Results from these simulations, as well as some of the background and methodology taught during the workshop, is presented in this article along with the programming code and the explanations of simulation results in an effort to allow other teachers and students to perform their own demonstrations, simulations, and studies.
AB - As part of a 3-wk intersession workshop funded by a National Science Foundation Expeditions in Computing award, 15 undergraduate students from the City University of New York1 collaborated on a study aimed at characterizing the voltage dynamics and arrhythmogenic behavior of cardiac cells for a broad range of physiologically relevant conditions using an in silico model. The primary goal of the workshop was to cultivate student interest in computational modeling and analysis of complex systems by introducing them through lectures and laboratory activities to current research in cardiac modeling and by engaging them in a hands-on research experience. The success of the workshop lay in the exposure of the students to active researchers and experts in their fields, the use of hands-on activities to communicate important concepts, active engagement of the students in research, and explanations of the significance of results as the students generated them. The workshop content addressed how spiral waves of electrical activity are initiated in the heart and how different parameter values affect the dynamics of these reentrant waves. Spiral waves are clinically associated with tachycardia, when the waves remain stable, and with fibrillation, when the waves exhibit breakup. All in silico experiments were conducted by simulating a mathematical model of cardiac cells on graphics processing units instead of the standard central processing units of desktop computers. This approach decreased the run time for each simulation to almost real time, thereby allowing the students to quickly analyze and characterize the simulated arrhythmias. Results from these simulations, as well as some of the background and methodology taught during the workshop, is presented in this article along with the programming code and the explanations of simulation results in an effort to allow other teachers and students to perform their own demonstrations, simulations, and studies.
UR - https://www.scopus.com/pages/publications/84859302960
U2 - 10.1152/advan.00034.2011
DO - 10.1152/advan.00034.2011
M3 - Article
AN - SCOPUS:84859302960
SN - 1043-4046
VL - 35
SP - 427
EP - 437
JO - American Journal of Physiology - Advances in Physiology Education
JF - American Journal of Physiology - Advances in Physiology Education
IS - 4
ER -