Electrocardiographic Imaging
Electrocardiographic imaging (ECGI) is a technique that leverages the mathematical and biophysical relationships between the signals generated by the heart (the bioelectric source) and remote measurements such as those taken from the body surface. By understanding the forward relationship from heart bioelectric signals to torso surface measurements, we can solve for the inverse relationship: estimate bioelectric sources using measurements from the body surface. ECGI has a long history of development and application in scientific and medical domains. The CEG has a long history of innovations and contributions in this space including a strong presence in the consortium for electrocardiographic imaging (CEI, co-founded by Dr. Rob MacLeod).
Featured publications and research in this area:
Research Highlight – ECGI and Cardiac Position
Image Processing
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Signal Processing
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Machine Learning
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Propagation Modeling
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Myocardial Ischemia
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Uncertainty Quantification
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