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
Artículo
en Inglés
| LILACS
| ID: biblio-984963
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.
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Índice:
LILACS (Américas)
Tipo de estudio:
Guía de Práctica Clínica
Idioma:
Inglés
Revista:
Res. Biomed. Eng. (Online)
Asunto de la revista:
Engenharia Biomdica
Año:
2018
Tipo del documento:
Artículo
/
Documento de proyecto
País de afiliación:
Brasil
/
Reino Unido
Institución/País de afiliación:
Aeronautics Institute of Technology/BR
/
Federal ABC University/BR
/
Glenfield Hospital/GB
/
University Hospitals of Leicester NHS Trust/GB
/
University of Leicester/GB
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