Body surface potential maps (BSPMs) are typically recorded from a large number of ECG leads that cover the entire thorax. This improves diagnostic accuracy and is required in Electrocardiographic imaging (ECGi). BSPMs recorded in the clinical setting may have some leads that are noisy due to poor skin electrode contact. We analyzed 117 lead BSPMs recorded from 360 subjects. We successively simulated the removal of ECG leads at various locations and tested the ability of our algorithm to accurately reconstruct the missing information.
|Number of pages||4|
|Publication status||E-pub ahead of print - 1 Oct 2018|
|Event||Computing in Cardiology - Maastricht, Netherlands|
Duration: 23 Sep 2018 → 26 Sep 2018
|Conference||Computing in Cardiology|
|Period||23/09/18 → 26/09/18|
- Signal Processing
Rababah, A., Finlay, D., Guldenring, D., Bond, RR., & McLaughlin, J. (2018). An Adaptive Laplacian Based Interpolation Algorithm for Noise Reduction in Body Surface Potential Maps. 1. Paper presented at Computing in Cardiology, Maastricht, Netherlands.