27 citations · 35 across the 3 of their papers we have counts for
3 papers
Reducing Line-of-block Artifacts in Cardiac Activation Maps Estimated Using ECG Imaging: A Comparison of Source Models and Estimation Methods
Steffen Schuler, Matthias Schaufelberger, Laura R. Bear +9
Objective: To investigate cardiac activation maps estimated using electrocardiographic imaging and to find methods reducing line-of-block (LoB) artifacts, while preserving real LoB…
Impulse data models for the inverse problem of electrocardiography
Tommy Peng, Avinash Malik, Laura R. Bear +1
The proposed method re-frames traditional inverse problems of electrocardiography into regression problems, constraining the solution space by decomposing signals with multidimensi…
Deep learning neural nets for detecting heart activity
Joe Horvath, Lu Shien, Tommy Peng +3
The prediction of heart surface potentials using measurements from the body's surface is known as the inverse problem of electrocardiography. It is an ill-posed problem due to the…