Detecting the Elusive P-Wave: A New ECG Lead to Improve the Recording of Atrial Activity
- Submitting institution
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University of Ulster
- Unit of assessment
- 12 - Engineering
- Output identifier
- 76399648
- Type
- D - Journal article
- DOI
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10.1109/TBME.2015.2450212
- Title of journal
- IEEE Transactions on Biomedical Engineering
- Article number
- -
- First page
- 243
- Volume
- 63
- Issue
- 2
- ISSN
- 0018-9294
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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4
- Research group(s)
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A - Healthcare Sensor Systems
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Work involved employing novel data mining methodology to the analysis of high spatially sampled ECG data. This resulted in the suggestion of a new ECG recording method/configuration that ultimately overcomes difficulties in the detection of atrial fibrillation – a highly prevalent and difficult to accurately detect cardiac arrythmias at present. The work has been instrumental in underpinning Ulster’s role in the €4.8m EU h.2020 PATHway project (2015-2018) and has significantly influenced monitoring technology developments at Ulster spin-out Intelsens Ltd (subsequently acquired by USA based Ultralinq).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -