Critical appraisal of technologies to assess electrical activity during atrial fibrillation: a position paper from the European heart rhythm association and European society of cardiology working group on ecardiology in collaboration with the heart rhythm society, Asia pacific heart rhythm society, Latin American Heart rhythm society and computing in cardiology
Europace
; 24(2): 313-330, Feb. 2022. graf, ilus, tab
Article
in English
| CONASS, Sec. Est. Saúde SP, SESSP-IDPCPROD, Sec. Est. Saúde SP
| ID: biblio-1352856
Responsible library:
BR79.1
ABSTRACT
Abstract We aim to provide a critical appraisal of basic concepts underlying signal recording and processing technologies applied for (I) atrial fibrillation (AF) mapping to unravel AF mechanisms and/or identifying target sites for AF therapy and (ii) AF detection, to optimize usage of technologies, stimulate research aimed at closing knowledge gaps, and developing ideal AF recording and processing technologies. Recording and processing techniques for assessment of electrical activity during AF essential for diagnosis and guiding ablative therapy including body surface electrocardiograms (ECG) and endo- or epicardial electrograms (EGM) are evaluated. Discussion of (I) differences in uni-, bi-, and multi-polar (omnipolar/Laplacian) recording modes, (ii) impact of recording technologies on EGM morphology, (iii) global or local mapping using various types of EGM involving signal processing techniques including isochronal-, voltage- fractionation-, dipole density-, and rotor mapping, enabling derivation of parameters like atrial rate, entropy, conduction velocity/direction, (iv) value of epicardial and optical mapping, (v) AF detection by cardiac implantable electronic devices containing various detection algorithms applicable to stored EGMs, (vi) contribution of machine learning (ML) to further improvement of signals processing technologies. Recording and processing of EGM (or ECG) are the cornerstones of (body surface) mapping of AF. Currently available AF recording and processing technologies are mainly restricted to specific applications or have technological limitations. Improvements in AF mapping by obtaining highest fidelity source signals (e. g. catheterelectrode combinations) for signal processing (e. g. filtering, digitization, and noise elimination) is of utmost importance. Novel acquisition instruments (multi-polar catheters combined with improved physical modelling and ML techniques) will enable enhanced and automated interpretation of EGM recordings in the near future.
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Collection:
National databases
/
Brazil
Database:
CONASS
/
Sec. Est. Saúde SP
/
SESSP-IDPCPROD
Main subject:
Atrial Fibrillation
/
Electrocardiography
Type of study:
Risk factors
Language:
English
Journal:
Europace
Year:
2022
Document type:
Article
Institution/Affiliation country:
1st University Department of Cardiology, National & Kapodistrian University of Athens School of Medicine/GR
/
Adventist Cardiovascular Institute of Buenos Aires/AR
/
IIS-Aragon and University of Zaragoza+ES
/
Barts Heart Centre and University College/GB
/
Cardiac Electrophysiology Section, Department of Cardiovascular Medicine, Cleveland Clinic/US
/
Cardiology Department, Karolinska University Hospital/SE
/
Cardiology Department, Korea University Medical Center/KR
/
Cardiology Department, Olv Aalst/BE
/
Cardiology Service, University Hospitals Geneva/CH
/
Cardiovascular Research Institute Maastricht (CARIM) Maastricht University/NL