Reconstruction of cardiac activities from Vectorcardiography and Magnetocardiography using Bayesian approach with coherence mapping

ABSTRACT

The human heart needs electrical signals to contract and relax its muscles that helps in mechanical activities. Due to these electrical impulses, atiny electric and magnetic field are generated on and outside the thorax surface. These functional activities can be investigated using Electro/Magnetocardiogram (E/MCG). The challenging task in the research is to image the cardiac dysfunctions in 3D from E/MCG not at the surface level but to estimate the activities at the source level, called inverse problem. To solve this, one must model a generic structure of the heart enclosed in the thorax mesh and their spatial relation with location of the MCG detectors, called as forward problem. This paper proposes a novel approach in the construction of the spatial matrix based on vectors. The main objective of this paper is to solve MCG inverse problem using Bayesian approach with varying spatial matrix updates derived from Vectorcardiography signals. Also, we proposed to apply coherence estimation to check the connectivity between the reconstructed epicardial sources. The significance of the coherence map is to construct an outline of abnormality spread at the heart surface. The inverse problem is extended for disease cases with over, balanced and underdetermined conditions with noise/free environments.

KEYWORDS:

• Magnetocardiography
• forward problem
• Bayesian inverse problem
• epicardial potentials
• coherence mapping

Disclosure statement

The authors declare that they have no conflicts of interest.

Additional information

Notes on contributors

V. R. Bhat

Vikas. R. Bhat received an M.Tech degree in Biomedical Engineering from Manipal University, 2014 and joined as a research scholar in the department of Electronics and Communication, Manipal Institute of technology. His research interests are biomedical signal processing, bio-magnetism.

Anitha H

Anitha. H received the Doctoral degree in Biomedical Engineering from Manipal University, in 2012. She is working as a Professor in the Department of Electronics and Communication, Manipal Institute of Technology, Manipal. Her research area includes biomedical signal and image processing.