Simultaneous Optimized Orthogonal Matching Pursuit with Application to ECG Compression

Laura Rebollo-Neira*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

A greedy pursuit strategy which finds a common basis for approximating a set of similar signals is proposed. The strategy extends the Optimized Orthogonal Matching Pursuit approach to selecting the subspace containing the approximation of all the signals in the set. The method, called Simultaneous Optimized Orthogonal Matching Pursuit, is stepwise optimal in the sense of minimizing at each iteration the mean square error norm of the signals in the set. When applied to compression of electrocardiograms, significant gains over other transformation based compression techniques are demonstrated on the MIT-BIH Arrhythmia dataset.
Original languageEnglish
Article numbere0325555
Number of pages21
JournalPLoS ONE
Volume20
Issue number6
Early online date11 Jun 2025
DOIs
Publication statusPublished - 11 Jun 2025

Bibliographical note

Copyright © 2025 Laura Rebollo-Neira. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Access Statement

All data are available at the Aston Data Explorer Repository: https://doi.org/10.17036/researchdata.aston.ac.uk.00000655

Keywords

  • Algorithms
  • Arrhythmias, Cardiac/diagnosis
  • Data Compression/methods
  • Electrocardiography/methods
  • Humans
  • Signal Processing, Computer-Assisted

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