The Computer, Electronics and Statistics Core will function as a general resource available to all of the projects. The consolidation of expertise in the areas of computer hardware and software, electronics, data acquisition, optics, image and signal processing, and statistics will enable the Core to provide support and services to the various projects in a highly coordinated and efficient manner. The Core provides technical expertise and leads software/hardware development efforts supporting the research conducted in the projects. Technical support includes: i) providing information to all investigators about the use of hardware and software in operation in their respective laboratories, ii) performing the system administration of the computers and the network, and Hi) assisting in the development of small applications required for simple data analysis. Software developed in this core is related to i) simulation of cardiac excitation in the heart, and ii) processing of optical and electrical signals from the heart. System development includes design and integration of software/hardware systems for data and image acquisition. Statistical support: In collaboration with the Center for Outcomes Research the Core offers methodological expertise and collaborates in the design, implementation, understanding and statistical analysis of research data.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
5P01HL087226-05
Application #
8374513
Study Section
Heart, Lung, and Blood Initial Review Group (HLBP)
Project Start
Project End
2013-07-31
Budget Start
2012-03-01
Budget End
2013-02-28
Support Year
5
Fiscal Year
2012
Total Cost
$396,611
Indirect Cost
$136,558
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
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Rodrigo, M; Climent, A M; Liberos, A et al. (2017) Minimal configuration of body surface potential mapping for discrimination of left versus right dominant frequencies during atrial fibrillation. Pacing Clin Electrophysiol 40:940-946
Rodrigo, Miguel; Climent, Andreu M; Liberos, Alejandro et al. (2017) Highest dominant frequency and rotor positions are robust markers of driver location during noninvasive mapping of atrial fibrillation: A computational study. Heart Rhythm 14:1224-1233
Quintanilla, Jorge G; Pérez-Villacastín, Julián; Pérez-Castellano, Nicasio et al. (2016) Mechanistic Approaches to Detect, Target, and Ablate the Drivers of Atrial Fibrillation. Circ Arrhythm Electrophysiol 9:e002481
Pedrón-Torrecilla, Jorge; Rodrigo, Miguel; Climent, Andreu M et al. (2016) Noninvasive Estimation of Epicardial Dominant High-Frequency Regions During Atrial Fibrillation. J Cardiovasc Electrophysiol 27:435-42
Herron, Todd J; Rocha, Andre Monteiro Da; Campbell, Katherine F et al. (2016) Extracellular Matrix-Mediated Maturation of Human Pluripotent Stem Cell-Derived Cardiac Monolayer Structure and Electrophysiological Function. Circ Arrhythm Electrophysiol 9:e003638
Guillem, María S; Climent, Andreu M; Rodrigo, Miguel et al. (2016) Presence and stability of rotors in atrial fibrillation: evidence and therapeutic implications. Cardiovasc Res 109:480-92
Willis, B Cicero; Pandit, Sandeep V; Ponce-Balbuena, Daniela et al. (2016) Constitutive Intracellular Na+ Excess in Purkinje Cells Promotes Arrhythmogenesis at Lower Levels of Stress Than Ventricular Myocytes From Mice With Catecholaminergic Polymorphic Ventricular Tachycardia. Circulation 133:2348-59
Corrado, Domenico; Zorzi, Alessandro; Cerrone, Marina et al. (2016) Relationship Between Arrhythmogenic Right Ventricular Cardiomyopathy and Brugada Syndrome: New Insights From Molecular Biology and Clinical Implications. Circ Arrhythm Electrophysiol 9:e003631
Rabinovitch, A; Biton, Y; Braunstein, D et al. (2015) Singular Value Decomposition of Optically-Mapped Cardiac Rotors and Fibrillatory Activity. J Phys D Appl Phys 48:

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