Research output per year
Research output per year
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 |
|---|---|
| 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 |
|---|---|
| Volume | 2019-September |
| ISSN (Print) | 2325-8861 |
| ISSN (Electronic) | 2325-887X |
| Conference | 2019 Computing in Cardiology, CinC 2019 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 8/09/19 → 11/09/19 |
This ongoing research is supported by funding by the Connected Health Innovation Centre (CHIC) and the European Union (EU): H2020-MSCA-RISE Programme (WASTCArD Project, Grant #645759).
Research output: Contribution to journal › Article › peer-review
Student thesis: Doctoral Thesis
Student thesis: Doctoral Thesis
Student thesis: Doctoral Thesis