Pseudo-colouring an ECG enables lay people to detect QT-interval prolongation regardless of heart rate
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 178824464
- Type
- D - Journal article
- DOI
-
10.1371/journal.pone.0237854
- Title of journal
- P L o S One
- Article number
- e0237854
- First page
- -
- Volume
- 15
- Issue
- 8
- ISSN
- 1932-6203
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2020
- 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
-
3
- Research group(s)
-
A - Computer Science
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "This novel ECG visualisation enables lay-people to spot a potentially fatal condition in an ECG, that for decades has challenged experts (10.1007/s11606-019-05477-7).
In a focus group, a clinician stated: ""I can see it being a very important tool in trials.""
Highly Commended at IET Healthcare Technologies Awards and finalist at Parliamentary and Scientific Committee''s ""STEM for Britain Awards"".
PGR (Alahmadi) received the Carole Goble Medal and Taibah University Research Excellence award.
Invited plenary at ''Machine Intelligence 21'' and Alan Turing Institute Seminar (Jay).
Extends CHI2019 paper ranked in top 1% by review scores (top 30/2958 submissions)."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
