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

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
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 → …

Fingerprint

Electrocardiography
Lead
Signal denoising
Decomposition
Noise abatement
Compliance

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.

Cite this

Lynn, WD., McEneaney, D., Villegas, R., & Escalona, OJ. (Accepted/In press). Advanced method for continuous denoising of far-field arm-ECG bipolar lead data using empirical mode decomposition. In Unknown Host Publication
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Lynn, WD, McEneaney, D, Villegas, R & Escalona, OJ 2017, Advanced method for continuous denoising of far-field arm-ECG bipolar lead data using empirical mode decomposition. in Unknown Host Publication. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 16/05/17.

Advanced method for continuous denoising of far-field arm-ECG bipolar lead data using empirical mode decomposition. / Lynn, WD; McEneaney, David; Villegas, Ricardo; Escalona, OJ.

Unknown Host Publication. 2017.

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

TY - GEN

T1 - Advanced method for continuous denoising of far-field arm-ECG bipolar lead data using empirical mode decomposition

AU - Lynn, WD

AU - McEneaney, David

AU - Villegas, Ricardo

AU - Escalona, OJ

PY - 2017/5/16

Y1 - 2017/5/16

N2 - 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.

AB - 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.

KW - Empirical Mode Decomposition

KW - far-field ECG

KW - arm-ECG denoising

KW - ECG signal averaging

KW - low-latency data filtering

KW - digital filtering

KW - long-term heart rhythm monitoring

KW - SNR

KW - EMD

KW - signal-to-noise ratio

KW - WASTCArD

KW - MSCA-RISE Programme

KW - arm-wrist ECG extraction.

M3 - Conference contribution

BT - Unknown Host Publication

ER -