Abstract
| Language | English |
|---|---|
| Title of host publication | Unknown Host Publication |
| Editors | Alan Murray |
| Number of pages | 4 |
| Volume | 44 |
| Publication status | Accepted/In press - 11 Oct 2017 |
| Event | 44th Computing in Cardiology Conference, 2017, Rennes, France - Rennes, France Duration: 11 Oct 2017 → … |
Conference
| Conference | 44th Computing in Cardiology Conference, 2017, Rennes, France |
|---|---|
| Period | 11/10/17 → … |
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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.
Cite this
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Arm-ECG Bipolar Leads Signal Recovery Methods for Wearable Long-term Heart Rate and Rhythm Monitoring. / Lynn, WD; Escalona, OJ; Vizcaya, P; McEneaney, DJ.
Unknown Host Publication. ed. / Alan Murray. Vol. 44 2017.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Arm-ECG Bipolar Leads Signal Recovery Methods for Wearable Long-term Heart Rate and Rhythm Monitoring
AU - Lynn, WD
AU - Escalona, OJ
AU - Vizcaya, P
AU - McEneaney, DJ
PY - 2017/10/11
Y1 - 2017/10/11
N2 - 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.
AB - 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.
KW - Bipolar ECG leads
KW - long term monitoring
KW - BIS sensors
KW - AgCl dry electrodes
KW - Signal-to-Noise ratio
KW - SNR
KW - far-field EGM
KW - bi-polar leads
KW - denoising
KW - signal averaging
KW - SFP alignment technique.
M3 - Conference contribution
VL - 44
BT - Unknown Host Publication
A2 - Murray, Alan
ER -