Research output per year
Research output per year
Niamh McCallan, Dewar Finlay, Pardis Biglarbeigi, Gilberto Perpiñan, Michael Jennings, Kok Yew Ng, James McLaughlin, Omar Escalona
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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 language | English |
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Title of host publication | 2019 Computing in Cardiology, CinC 2019 |
Publisher | IEEE Computer Society |
ISBN (Electronic) | 9781728169361 |
DOIs | |
Publication status | Published (in print/issue) - Sept 2019 |
Event | 2019 Computing in Cardiology, CinC 2019 - Singapore, Singapore Duration: 8 Sept 2019 → 11 Sept 2019 |
Name | Computing in Cardiology |
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Volume | 2019-September |
ISSN (Print) | 2325-8861 |
ISSN (Electronic) | 2325-887X |
Conference | 2019 Computing in Cardiology, CinC 2019 |
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Country/Territory | Singapore |
City | Singapore |
Period | 8/09/19 → 11/09/19 |
Research output: Contribution to journal › Article › peer-review