Archive for the ‘Conference publications’ Category

Electrocardiographic imaging (ECGI) reconstructs epicardial potentials and electrograms from body-surface electrocardiograms and a torso-heart geometry. For clinical purposes, local activation and recovery times are often more useful than epicardial electrograms. However, noise and fractionation can affect estimation of activation and recovery times from reconstructed electrograms. Here, we employ a method for activation and recovery time   Read More …

Noninvasive imaging of electrical activity of the heart has increasingly gained attention over the last decades. Epicardial potentials can be reconstructed from a torso-heart geometry and body-surface potentials recorded from tens to hundreds of body-surface electrodes. However, it remains an open question how many body-surface electrodes are needed to accurately reconstruct epicardial potentials. We investigated   Read More …

In this research, we have improved our method to noninvasively reconstruct electrical heart activity by using physiology-inspired building blocks and directly reconstructing the heart’s activity in terms of those building blocks. This method was validated with unique in vivo data. Find the (award winning) paper here, and don’t hesitate to contact us with your ideas and   Read More …

At the Computing in Cardiology conference, we presented two ideas that seem to improve the inverse reconstruction of electrical heart activity. In the first, we propose to use a (computer generated) training set of realistic heart activity as building blocks for reconstructed electrograms at the heart surface. The second idea is to improve inversely reconstructed   Read More …

We are developing a new technique to reconstruct electrical heart activity by exploiting characteristics of so-called ‘wavelets’. The idea is that by representing the epicardial potentials by wavelets, we can take advantage of sparsity and achieve results that are less influenced by noise. Find the corresponding conference paper here and the poster below. Reference: Matthijs Cluitmans, Joel Karel,   Read More …

One of the major issues in the inverse problem of electrocardiography is the sensitivity to noise (or in mathematically more correct terms, the ill-posedness of the problem). In general, research teams add constraints to the possible solutions to reduce the sensitivity to noise. These constrains are mainly based on physical or mathematical characteristics of the   Read More …