Wearable Technology: Signal Recovery of Electrocardiogram from Short Spaced Leads in the Far-Field Using Discrete Wavelet Transform Based Techniques

Niamh McCallan, Dewar Finlay, Pardis Biglarbeigi, Gilberto Perpiñan, Michael Jennings, Kok Yew Ng, James McLaughlin, Omar Escalona

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

3 Citations (Scopus)

Abstract

Bipolar ECG leads recorded from closely spaced electrodes are challenging in any context. When they are positioned distally with respect to the source field (far-field), the recovery of clinically useful signal content represents an even greater challenge. Due to the increased interest in ambulatory wellness devices, particularly wrist-worn devices, there is a renewed interest in recovering ECG signals from distally located bipolar leads.In this study 10 bipolar leads were simultaneously recorded at various locations along the left arm. At the same time, a conventional proximal reading on the chest using Lead I was also recorded and stored. This process was repeated for 11 healthy subjects. ECGs were recorded for a period of approximately 6 minutes for each subject and sampled at a frequency of 2048 Hz. Wavelet-based filtering using Daubechies 4 wavelet decomposition and soft threshold was applied to each lead. QRS detection performance was assessed against Lead I for each subject. This investigation found that a lead positioned transversally (using BIS gelled electrodes) on the upper arm provided the best accuracy against the benchmark QRS detection (SEN = 0.998, PPV = 0.984). The most distally positioned bipolar lead using dry electrodes faired least favourable (SEN = 0.272, PPV = 0.202).

Original languageEnglish
Title of host publication2019 Computing in Cardiology (CinC)
PublisherIEEE
Number of pages4
Volume46
ISBN (Electronic)9781728169361
ISBN (Print)9781728159423
DOIs
Publication statusPublished - 24 Feb 2020
EventCinC 2019: Computing in Cardiology - Singapore, Singapore
Duration: 8 Sept 201911 Sept 2019

Publication series

Name
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

ConferenceCinC 2019
Country/TerritorySingapore
CitySingapore
Period8/09/1911/09/19

Keywords

  • Electrocardiography
  • Electrodes
  • Lead
  • Biomedical monitoring
  • Discrete wavelet transforms
  • Monitoring
  • Wrist

ASJC Scopus subject areas

  • General Computer Science
  • Cardiology and Cardiovascular Medicine

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