Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds
- Submitting institution
-
The University of Sheffield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2612
- Type
- D - Journal article
- DOI
-
10.1109/TBME.2019.2908486
- Title of journal
- IEEE Transactions on Biomedical Engineering
- Article number
- -
- First page
- 99
- Volume
- 67
- Issue
- 1
- ISSN
- 0018-9294
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2019
- 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
-
9
- Research group(s)
-
B - Complex Systems Modelling
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work describes a probabilistic method for interpolating sparse and noisy measurements of electrical activation that significantly extends methods previously developed for interpolation over spherical geometries to the left atrium, a complex manifold that includes holes. This method is generalisable to other applications of probabilistic interpolation on manifolds. It is a key component of EPSRC-funded research (EP/P010741/1) to develop personalised and probabilistic models of heart function that have confidence bounds on predictions aiming to reduce clinical procedure times and benefit patients, and are developed with clinical collaborators in Sheffield (contact: Consultant Cardiologist, STH) and GSTT London (contact: Consultant Cardiologist).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -