An Adaptive Laplacian Based Interpolation Algorithm for Noise Reduction in Body Surface Potential Maps

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Abstract

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.
Original languageEnglish
Pages1
Number of pages4
Publication statusE-pub ahead of print - 1 Oct 2018
EventComputing in Cardiology - Maastricht, Netherlands
Duration: 23 Sep 201826 Sep 2018
http://www.cinc.org/2018/CinC2018ProgramOverview.pdf

Conference

ConferenceComputing in Cardiology
CountryNetherlands
CityMaastricht
Period23/09/1826/09/18
Internet address

Keywords

  • ECG
  • BSPM
  • Laplacian
  • Noise
  • Signal Processing

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