The MacLeod Laboratory
The Computational Electrocardiology Laboratory’s research studies electrocardiographic mapping of the heart and body surface. Specific research areas includes cardiac electrophysiologyin the study of acute ischemia and repolarization abnormalities; and computational electrophysiology in solving electrocardiographic forward and inverse problems.
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Featured Publications
 | Bioelectric Analyses of an Osseointegrated Intelligent Implant Design System for Amputees https://www.jove.com/t/1237/bioelectric-analyses-an-osseointegrated-intelligent-implant-design | The goal of the osseointegrated intelligent implant design (OIID) system is to make the implant part of an electrical system to accelerate skeletal attachment and help prevent periprosthetic infection. To determine optimal electrode size and placement, we initiated proof of concept with computational modeling of the electric fields and current densities that arise during electrical stimulation of amputee residual limbs. | Bioelectric analyses of an osseointegrated intelligent implant design system for amputees. B.M. Isaacson, J.G. Stinstra, R.S. MacLeod, J.B. Webster, J.P. Beck, and R.D. Bloebaum. |
 | Detection and Quantification of Low Voltage Left Atrial Tissue Using Delayed Enhancement MRI in Patients with Atrial https://sci.utah.edu/~macleod/papers/afib/circ2009-online.pdf | Atrial fibrillation (AF) is associated with diffuse left atrial fibrosis and a reduction in endocardial voltage. These changes are indicators of AF severity and appear to be predictors of treatment outcome. In this study, we report the utility of delayed-enhancement magnetic resonance imaging (DE-MRI) in detecting abnormal atrial tissue before radiofrequency ablation and in predicting procedural outcome. | Detection and Quantification of Low Voltage Left Atrial Tissue Using Delayed Enhancement MRI in Patients with Atrial Fibrillation. R.S. Oakes, T.J. Badger, E.G. Kholmovski, N.M. Segerson, E.V.R. DiBella, E. Fish, JE. Blauer, N. Akoum, M. Daccarett, J. Windfelder, C. J. McGann, D. Parker, R.S. MacLeod, N.F. Marrouche. |
 | Subject-specific, multiscale simulation of electrophysiology: a software pipeline for image based models and application examples. https://sci.utah.edu/~macleod/papers/ptrs09.pdf | Interest in image-based modelling is based on the growing access of biomedical scientists to three- (and even four-) dimensional imaging that allows the creation of simulation models that, in some cases, include explicit and individualized anatomical information from the objects under study | Subject-specific, multiscale simulation of electrophysiology: a software pipeline for image based models and application examples. R.S. MacLeod, J.G. Stinstra, S. Lew, R.T. Whitaker, D.J. Swenson, M.J. Cole, J. Krueger, D.H. Brooks, and C.R. Johnson. Phil. Trans. R. Soc. 367:2293-2310, 2009. |
The Macleod Lab Research Team
Rob Macleod, PhD
Associate Director, SCI Institute
