Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate
Atrial fibrillation (AF) is currently the most common cardiac arrhythmia, with catheter ablation (CA) of the pulmonary veins (PV) being its first line therapy. Ablation of complex fractionated atrial electrograms (CFAEs) outside the PVs has demonstrated improved long-term results, but their identifi...
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MDPI AG
2020-02-01
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| Online Access: | https://www.mdpi.com/1099-4300/22/2/232 |
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| author | Aikaterini Vraka Fernando Hornero Vicente Bertomeu-González Joaquín Osca Raúl Alcaraz José J. Rieta |
| author_facet | Aikaterini Vraka Fernando Hornero Vicente Bertomeu-González Joaquín Osca Raúl Alcaraz José J. Rieta |
| author_sort | Aikaterini Vraka |
| collection | DOAJ |
| description | Atrial fibrillation (AF) is currently the most common cardiac arrhythmia, with catheter ablation (CA) of the pulmonary veins (PV) being its first line therapy. Ablation of complex fractionated atrial electrograms (CFAEs) outside the PVs has demonstrated improved long-term results, but their identification requires a reliable electrogram (EGM) fractionation estimator. This study proposes a technique aimed to assist CA procedures under real-time settings. The method has been tested on three groups of recordings: Group 1 consisted of 24 highly representative EGMs, eight of each belonging to a different AF Type. Group 2 contained the entire dataset of 119 EGMs, whereas Group 3 contained 20 pseudo-real EGMs of the special Type IV AF. Coarse-grained correlation dimension (CGCD) was computed at epochs of 1 s duration, obtaining a classification accuracy of 100% in Group 1 and 84.0−85.7% in Group 2, using 10-fold cross-validation. The receiver operating characteristics (ROC) analysis for highly fractionated EGMs, showed 100% specificity and sensitivity in Group 1 and 87.5% specificity and 93.6% sensitivity in Group 2. In addition, 100% of the pseudo-real EGMs were correctly identified as Type IV AF. This method can consistently express the fractionation level of AF EGMs and provides better performance than previous works. Its ability to compute fractionation in short-time can agilely detect sudden changes of AF Types and could be used for mapping the atrial substrate, thus assisting CA procedures under real-time settings for atrial substrate modification. |
| first_indexed | 2024-12-10T06:50:02Z |
| format | Article |
| id | doaj.art-71b3822594aa42219f7076ce228f4b0e |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-12-10T06:50:02Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-71b3822594aa42219f7076ce228f4b0e2022-12-22T01:58:34ZengMDPI AGEntropy1099-43002020-02-0122223210.3390/e22020232e22020232Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial SubstrateAikaterini Vraka0Fernando Hornero1Vicente Bertomeu-González2Joaquín Osca3Raúl Alcaraz4José J. Rieta5BioMIT.org, Electronic Engineering Department, Universitat Politecnica de Valencia, 46022 Valencia, SpainCardiac Surgery Department, Hospital Universitari i Politecnic La Fe, 46026 Valencia, SpainCardiology Department, Hospital Universitario de San Juan de Alicante, 03550 Alicante, SpainElectrophysiology Section, Hospital Universitari i Politecnic La Fe, 46026 Valencia, SpainResearch Group in Electronic, Biomedical and Telecommunication Engineering, University of Castilla-La Mancha, 16071 Cuenca, SpainBioMIT.org, Electronic Engineering Department, Universitat Politecnica de Valencia, 46022 Valencia, SpainAtrial fibrillation (AF) is currently the most common cardiac arrhythmia, with catheter ablation (CA) of the pulmonary veins (PV) being its first line therapy. Ablation of complex fractionated atrial electrograms (CFAEs) outside the PVs has demonstrated improved long-term results, but their identification requires a reliable electrogram (EGM) fractionation estimator. This study proposes a technique aimed to assist CA procedures under real-time settings. The method has been tested on three groups of recordings: Group 1 consisted of 24 highly representative EGMs, eight of each belonging to a different AF Type. Group 2 contained the entire dataset of 119 EGMs, whereas Group 3 contained 20 pseudo-real EGMs of the special Type IV AF. Coarse-grained correlation dimension (CGCD) was computed at epochs of 1 s duration, obtaining a classification accuracy of 100% in Group 1 and 84.0−85.7% in Group 2, using 10-fold cross-validation. The receiver operating characteristics (ROC) analysis for highly fractionated EGMs, showed 100% specificity and sensitivity in Group 1 and 87.5% specificity and 93.6% sensitivity in Group 2. In addition, 100% of the pseudo-real EGMs were correctly identified as Type IV AF. This method can consistently express the fractionation level of AF EGMs and provides better performance than previous works. Its ability to compute fractionation in short-time can agilely detect sudden changes of AF Types and could be used for mapping the atrial substrate, thus assisting CA procedures under real-time settings for atrial substrate modification.https://www.mdpi.com/1099-4300/22/2/232atrial fibrillationcatheter ablationsignal processingchaos theorycoarse-grained correlation dimensioncomplex fractionated atrial electrogramsnonlinear analysis |
| spellingShingle | Aikaterini Vraka Fernando Hornero Vicente Bertomeu-González Joaquín Osca Raúl Alcaraz José J. Rieta Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate Entropy atrial fibrillation catheter ablation signal processing chaos theory coarse-grained correlation dimension complex fractionated atrial electrograms nonlinear analysis |
| title | Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate |
| title_full | Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate |
| title_fullStr | Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate |
| title_full_unstemmed | Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate |
| title_short | Short-Time Estimation of Fractionation in Atrial Fibrillation with Coarse-Grained Correlation Dimension for Mapping the Atrial Substrate |
| title_sort | short time estimation of fractionation in atrial fibrillation with coarse grained correlation dimension for mapping the atrial substrate |
| topic | atrial fibrillation catheter ablation signal processing chaos theory coarse-grained correlation dimension complex fractionated atrial electrograms nonlinear analysis |
| url | https://www.mdpi.com/1099-4300/22/2/232 |
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