In silico pace mapping identifies pacing sites more accurately than inverse body surface potential mapping
In silico pace mapping is more accurate than ECGi in detecting paced activation. Performance was optimal when all BSPs were used and reduced during RV apical pacing.
Authors
- Gernot Plank (ORCID: https://orcid.org/0000-0002-7380-6908)
- Christopher A. Rinaldi (ORCID: https://orcid.org/0000-0002-3930-1957)
- Nadeev Wijesuriya (ORCID: https://orcid.org/0000-0001-7893-0708)
- Fernando O. Campos (ORCID: https://orcid.org/0000-0002-7682-0094)
- Martin J. Bishop (ORCID: https://orcid.org/0000-0002-6237-1902)
- Felicity de Vere
- Sofia Monaci (ORCID: https://orcid.org/0000-0002-6786-5215)
- Mark K. Elliott (ORCID: https://orcid.org/0000-0003-2805-3043)
- Sandra Howell (ORCID: https://orcid.org/0000-0002-3925-2913)
- Marina Strocchi (ORCID: https://orcid.org/0000-0003-1312-251X)
- John Whitaker
Institutions
- King's College London (GB)
- Guy's and St Thomas' NHS Foundation Trust (GB)
- Medical University of Graz (AT)
- King's College School (GB)
- Imperial College London (GB)
Publication Details
- Journal
- Heart Rhythm
- Published
- 2024-12-28
- DOI
- https://doi.org/10.1016/j.hrthm.2024.12.036
- Citations
- 1
- Primary Topic
- Cardiac Arrhythmias and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Wellcome Trust
- British Heart Foundation
- King's College London
- Centre For Medical Engineering, King’s College London