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

Lynn, WD, McEneaney, David, Villegas, Ricardo and Escalona, OJ (2017) Advanced method for continuous denoising of far-field arm-ECG bipolar lead data using empirical mode decomposition. In: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jeju Island, South Korea. IEEE Xplore Digital Library. 1 pp. [Conference contribution]

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URL: http://ieeexplore.ieee.org/browse/conferences/title/

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.

Item Type:Conference contribution (Poster)
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.
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Engineering Research Institute
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
ID Code:37948
Deposited By: Professor Omar Escalona
Deposited On:22 Jun 2017 08:33
Last Modified:17 Oct 2017 16:29

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