Pioneering Computational Cardiac Electrophysiology

Simulating bioelectric fields — from cardiac defibrillation and neuromodulation to electrocardiographic imaging — and investigating the electrical mechanisms of cardiac arrhythmias and acute myocardial ischemia.

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Revolutionizing Heart Health:

Mapping the Electrical Activity of the Heart

Our group develops computational and experimental approaches to map the heart’s electrical activity — from noninvasive electrocardiographic imaging (ECGI) to simulations of bioelectric fields — advancing the understanding and treatment of atrial fibrillation, ventricular arrhythmias, and acute myocardial ischemia.

About Macleod Lab

Our Research

The Computational Electrocardiology Group focuses on advancing the understanding of cardiac arrhythmias and acute myocardial ischemia through scientific computing, imaging, signal processing, and visualization — together with experimental and clinical studies.

Electrocardiographic Mapping

Myocardial Ischemia

Computational Electrophysiology

Cardiac Arrhythmias

Featured Publications

Recent publications from the Computational Electrocardiology Group on electrocardiographic imaging, myocardial ischemia, and cardiac arrhythmias.

Figure from the torso signal processing ECGI study

The Impact of Torso Signal Processing on Noninvasive Electrocardiographic Imaging Reconstructions. Bear LR et al., IEEE Trans Biomed Eng. 2021;68(2):436-447.

Figure from the transient ischemic stress ECG study

Characterizing the Transient Electrocardiographic Signature of Ischemic Stress Using Laplacian Eigenmaps for Dimensionality Reduction. Good WW et al., Comput Biol Med. 2020;127:104059.

Figure from the acute myocardial ischemia experimental model study

Novel experimental model for studying the spatiotemporal electrical signature of acute myocardial ischemia: a translational platform. Zenger B et al., Physiol Meas. 2020;41(1):015002.

Figure from the atrial myofiber architecture study

Contribution of atrial myofiber architecture to atrial fibrillation. Kamali R et al., PLoS One. 2023;18(1):e0279974.

Mentorship and Training

Dr. MacLeod loves to mentor and collaborate with students through the Computational Electrocardiology Group, training the next generation of scientists and engineers in computational cardiology.

Get Involved

CVRTI MacLeod Lab University of Utah Health Care

Faculty

Rob MacLeod, PhD

Professor of Biomedical Engineering

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