Arm-ECG Bipolar Leads Signal Recovery Methods for Wearable Long-term Heart Rate and Rhythm Monitoring

WD Lynn, OJ Escalona, P Vizcaya, DJ McEneaney

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

46 Downloads (Pure)

Abstract

A clinical database of distal electrogram recordings was created in conjunction with the Craigavon Area Hospital Cardiac Research Department. Signal averaged ECG (SAECG) methods were then used to inspect electrograms recorded bilaterally in a pilot study and the evidence based outcome of which directed the WASTCArD research group to consider the left arm as a prime location for a potential long term cardiac monitor. Empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD) and data fusion (DF) techniques were developed due to their ability to extract morphologically intact information from a dynamic data stream and their performance compared to the control SAECG reference method and clinically accepted denoising approach in high-resolution electrocardiography. EEMD was found to be a robust, low latency denoisingtechnique, in comparison to SAECG performance; achieving signal to noise enhancement figures that, in some cases, improved on the SAECG control method, when used with far-field bipolar leads along the left arm ECG data.
Original languageEnglish
Title of host publicationUnknown Host Publication
EditorsAlan Murray
PublisherComputing in Cardiology
Number of pages4
Volume44
Publication statusAccepted/In press - 11 Oct 2017
Event44th Computing in Cardiology Conference, 2017, Rennes, France - Rennes, France
Duration: 11 Oct 2017 → …

Conference

Conference44th Computing in Cardiology Conference, 2017, Rennes, France
Period11/10/17 → …

Keywords

  • Bipolar ECG leads
  • long term monitoring
  • BIS sensors
  • AgCl dry electrodes
  • Signal-to-Noise ratio
  • SNR
  • far-field EGM
  • bi-polar leads
  • denoising
  • signal averaging
  • SFP alignment technique.

Fingerprint Dive into the research topics of 'Arm-ECG Bipolar Leads Signal Recovery Methods for Wearable Long-term Heart Rate and Rhythm Monitoring'. Together they form a unique fingerprint.

  • Cite this

    Lynn, WD., Escalona, OJ., Vizcaya, P., & McEneaney, DJ. (Accepted/In press). Arm-ECG Bipolar Leads Signal Recovery Methods for Wearable Long-term Heart Rate and Rhythm Monitoring. In A. Murray (Ed.), Unknown Host Publication (Vol. 44). Computing in Cardiology. http://www.cinc.org