The temporal stability of recurrence quantification analysis attributes from chronic atrial fibrillation electrograms
Res. Biomed. Eng. (Online)
; 34(4): 337-349, Oct.-Dec. 2018. tab, graf
Article
in English
| LILACS
| ID: biblio-984963
Responsible library:
BR1.1
ABSTRACT
Abstract Introduction The temporal behavior of atrial electrograms (AEGs) collected during persistent atrial fibrillation (persAF) directly affects ablative treatment outcomes. We investigated different durations of AEGs collected during persAF using recurrence quantification analysis (RQA). Methods 797 bipolar AEGs with different durations (from 0.5 s to 8 s) from 18 patients were investigated. Four RQA-based attributes were evaluated based on AEG durations determinism (DET); recurrence rate (RR); laminarity (LAM); and diagonal lines' entropy (ENTR). The Spearman correlation (ρ) between each duration versus 8 s was calculated. AEG classification was performed following the CARTO criteria (Biosense Webster) and receiving operating characteristic (ROC) curves were created for the RQA variables. Results The RQA variables successfully discriminated the AEGs the area under the ROC curves were as high as 0.70 for AEGs with 3.5 s or greater. Three types of AEGs were found using these variables normal, fractionated and temporally unstable. The number of unstable AEGs decreased with longer AEG segments. Different AEG durations significantly affected the RQA variables (P<0.0001), with no statistical difference between the durations 6 s, 7 s and 8 s for DET, LAM and ENTR, and no difference between 7 s and 8 s for RR (P<0.0001). AEGs with 3 s or longer have shown ρ ≥ 80% for all variables. Conclusion The RQA variables have been shown effective in the characterization of AEGs collected during persAF with a shorter duration than current recommendations, which motivates their use for the characterization of atrial substrate during persAF ablation.
Full text:
Available
Collection:
International databases
Database:
LILACS
Type of study:
Practice guideline
Language:
English
Journal:
Res. Biomed. Eng. (Online)
Journal subject:
Engenharia Biomdica
Year:
2018
Document type:
Article
/
Project document
Affiliation country:
Brazil
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United kingdom
Institution/Affiliation country:
Aeronautics Institute of Technology/BR
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Federal ABC University/BR
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Glenfield Hospital/GB
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University Hospitals of Leicester NHS Trust/GB
/
University of Leicester/GB