Advanced method for continuous denoising of far-field arm-ECG bipolar lead data using empirical mode decomposition

WD Lynn, David McEneaney, Ricardo Villegas, OJ Escalona

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

The ability to noninvasively monitor heart rhythm in a home care environment is limited by the current ECG signal denoising techniques that can facilitate a robust and stable detection and analysis of heart rhythm, extracted from a far-field bipolar lead, located along the left arm (a comfort zone), offering patient compliance clinical advantages. Empirical mode decomposition (EMD) has been identified as an effective method of fast signal extraction and noise reduction for far-field recorded arm-ECGs. The following work discusses a technique that allows the EMD method to run on a live data stream and provide a filtered stream with latency of less than one second.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE Xplore
Number of pages1
Publication statusAccepted/In press - 16 May 2017
Event39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Jeju Island, South Korea
Duration: 16 May 2017 → …

Conference

Conference39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Period16/05/17 → …

Keywords

  • Empirical Mode Decomposition
  • far-field ECG
  • arm-ECG denoising
  • ECG signal averaging
  • low-latency data filtering
  • digital filtering
  • long-term heart rhythm monitoring
  • SNR
  • EMD
  • signal-to-noise ratio
  • WASTCArD
  • MSCA-RISE Programme
  • arm-wrist ECG extraction.

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