Interpolating Low Amplitude ECG Signals Combined with Filtering According to International Standards Improves Inverse Reconstruction of Cardiac Electrical Activity

Research output: Contribution to journalConference article

12 Downloads (Pure)

Abstract

In this paper, the effect of reducing noise from ECG signals is investigated by applying filters in compliance with the standards for ECG devices, removing and interpolating low amplitude signals. Torso-tank experiment data was used with electrical activity recorded simultaneously from 128 tank electrodes and 108 epicardial sock electrodes. Subsequently, 10 representative beats were selected for analysis. Tikhonov zero-order regularization method was used to solve the inverse problem for the following groups; raw fullset, filtered fullset, raw low amplitude removed, filtered low amplitude removed, raw low amplitude interpolated, filtered low amplitude interpolated torso signals. Pearson’s correlation was used for comparison between measured and computed electrograms and between activation maps derived from them. Filtering the signal according to the standards improved the reconstructed electrograms. In addition, removal of low amplitude signals and replacing them with interpolated signals combined with filtering according to the standard significantly improved the reconstructed electrograms and derived activation maps.
Original languageEnglish
Pages (from-to)112-120
Number of pages9
JournalLecture Notes in Computer Science
Volume11504
DOIs
Publication statusPublished - 30 May 2019
EventInternational Conference on Functional Imaging and Modeling of the Heart - Bordeaux, Bordeaux, France
Duration: 6 Jun 20198 Jun 2019
https://fimh2019.sciencesconf.org/

Keywords

  • signal processing
  • ECGs

Fingerprint Dive into the research topics of 'Interpolating Low Amplitude ECG Signals Combined with Filtering According to International Standards Improves Inverse Reconstruction of Cardiac Electrical Activity'. Together they form a unique fingerprint.

Cite this