A Technique for Measuring Anisotropy in Atrial Conduction to Estimate Conduction Velocity and Atrial Fibre Direction
- Submitting institution
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King's College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 104789144
- Type
- D - Journal article
- DOI
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10.1016/j.compbiomed.2018.10.019
- Title of journal
- Computers in Biology and Medicine
- Article number
- -
- First page
- 278
- Volume
- 104
- Issue
- -
- ISSN
- 0010-4825
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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-
- 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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10
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Cardiac conduction exhibits patient-specific heterogeneous anisotropy (direction dependence), which affects arrhythmia properties and efficacy of treatments. However, it is challenging to clinically measure conduction anisotropy and so this information does not currently inform treatment strategies. We developed a novel technique to estimate conduction anisotropy from clinically available electrical recordings. This work contributed to a successful BHF programme grant (RG/20/4/34803) and an NIH RO1 application (HL152256-01). These grants will enable clinical translation of the methodology, by constructing an atrial anisotropy atlas for different patient groups to utilise anisotropy information in computational models and ultimately in clinical procedures (REC reference 15/LO/1889).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
