Impact of filter configurations on bipolar EGMs: An optimal filter setting for identifying VT substrates.

Basic: activation mapping of arrhythmias Basic: ventricular tachycardia/fibrillation Clinical: cardiac mapping-electrogram analysis Clinical: cardiac mapping-voltage

Journal

Journal of cardiovascular electrophysiology
ISSN: 1540-8167
Titre abrégé: J Cardiovasc Electrophysiol
Pays: United States
ID NLM: 9010756

Informations de publication

Date de publication:
08 2023
Historique:
revised: 21 05 2023
received: 24 02 2023
accepted: 26 06 2023
medline: 10 8 2023
pubmed: 11 7 2023
entrez: 11 7 2023
Statut: ppublish

Résumé

The impact of filtering on bipolar electrograms (EGMs) has not been systematically examined. We tried to clarify the optimal filter configuration for ventricular tachycardia (VT) ablation. Fifteen patients with VT were included. Eight different filter configurations were prospectively created for the distal bipoles of the ablation catheter: 1.0-250, 10-250, 100-250, 30-50, 30-100, 30-250, 30-500, and 30-1000 Hz. Pre-ablation stable EGMs with good contact (contact force > 10 g) were analyzed. Baseline fluctuation, baseline noise, bipolar peak-to-peak voltage, and presence of local abnormal ventricular activity (LAVA) were compared between different filter configurations. In total, 2276 EGMs with multiple bipolar configurations in 246 sites in scar and border areas were analyzed. Baseline fluctuation was only observed in the high-pass filter of (HPF) ≤ 10 Hz (p < .001). Noise level was lowest at 30-50 Hz (0.018 [0.012-0.029] mV), increased as the low-pass filter (LPF) extended, and was highest at 30-1000 Hz (0.047 [0.041-0.061] mV) (p < .001). Conversely, the HPF did not affect the noise level at ≤30 Hz. As the HPF extended to 100 Hz, bipolar voltages significantly decreased (p < .001), but were not affected when the LPF was extended to ≥100 Hz. LAVAs were most frequently detected at 30-250 Hz (207/246; 84.2%) and 30-500 Hz (208/246; 84.6%), followed by 30-1000 Hz (205/246; 83.3%), but frequently missed at LPF ≤ 100 Hz or HPF ≤ 10 Hz (p < .001). A 50-Hz notch-filter reduced the bipolar voltage by 43.9% and LAVA-detection by 34.5% (p < .0001). Bipolar EGMs are strongly affected by filter settings in scar/border areas. In all, 30-250 or 30-500 Hz may be the best configuration, minimizing the baseline fluctuation, baseline noise, and detecting LAVAs. Not applying the 50-Hz notch filter may be beneficial to avoid missing VT substrate.

Sections du résumé

BACKGROUND
The impact of filtering on bipolar electrograms (EGMs) has not been systematically examined. We tried to clarify the optimal filter configuration for ventricular tachycardia (VT) ablation.
METHODS
Fifteen patients with VT were included. Eight different filter configurations were prospectively created for the distal bipoles of the ablation catheter: 1.0-250, 10-250, 100-250, 30-50, 30-100, 30-250, 30-500, and 30-1000 Hz. Pre-ablation stable EGMs with good contact (contact force > 10 g) were analyzed. Baseline fluctuation, baseline noise, bipolar peak-to-peak voltage, and presence of local abnormal ventricular activity (LAVA) were compared between different filter configurations.
RESULTS
In total, 2276 EGMs with multiple bipolar configurations in 246 sites in scar and border areas were analyzed. Baseline fluctuation was only observed in the high-pass filter of (HPF) ≤ 10 Hz (p < .001). Noise level was lowest at 30-50 Hz (0.018 [0.012-0.029] mV), increased as the low-pass filter (LPF) extended, and was highest at 30-1000 Hz (0.047 [0.041-0.061] mV) (p < .001). Conversely, the HPF did not affect the noise level at ≤30 Hz. As the HPF extended to 100 Hz, bipolar voltages significantly decreased (p < .001), but were not affected when the LPF was extended to ≥100 Hz. LAVAs were most frequently detected at 30-250 Hz (207/246; 84.2%) and 30-500 Hz (208/246; 84.6%), followed by 30-1000 Hz (205/246; 83.3%), but frequently missed at LPF ≤ 100 Hz or HPF ≤ 10 Hz (p < .001). A 50-Hz notch-filter reduced the bipolar voltage by 43.9% and LAVA-detection by 34.5% (p < .0001).
CONCLUSION
Bipolar EGMs are strongly affected by filter settings in scar/border areas. In all, 30-250 or 30-500 Hz may be the best configuration, minimizing the baseline fluctuation, baseline noise, and detecting LAVAs. Not applying the 50-Hz notch filter may be beneficial to avoid missing VT substrate.

Identifiants

pubmed: 37431258
doi: 10.1111/jce.15997
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1708-1717

Informations de copyright

© 2023 Wiley Periodicals LLC.

Références

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Auteurs

Masateru Takigawa (M)

Department of Cardiac Pacing and Electrophysiology, Bordeaux University Hospital (CHU), Bordeaux, France.
IHU Liryc, Electrophysiology and Heart Modeling Institute, University of Bordeaux, Bordeaux, France.
Department of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Department of Advanced Arrhythmia Research, Tokyo Medical and Dental University, Tokyo, Japan.

Frederic Sacher (F)

Department of Cardiac Pacing and Electrophysiology, Bordeaux University Hospital (CHU), Bordeaux, France.
IHU Liryc, Electrophysiology and Heart Modeling Institute, University of Bordeaux, Bordeaux, France.

Claire Martin (C)

Department of Cardiac Pacing and Electrophysiology, Bordeaux University Hospital (CHU), Bordeaux, France.
Royal Papworth Hospital, Cambridge, UK.
Department of Medicine, Cambridge University, Cambridge, UK.

Ghassen Cheniti (G)

Department of Cardiac Pacing and Electrophysiology, Bordeaux University Hospital (CHU), Bordeaux, France.
IHU Liryc, Electrophysiology and Heart Modeling Institute, University of Bordeaux, Bordeaux, France.

Josselin Duchateau (J)

Department of Cardiac Pacing and Electrophysiology, Bordeaux University Hospital (CHU), Bordeaux, France.
IHU Liryc, Electrophysiology and Heart Modeling Institute, University of Bordeaux, Bordeaux, France.

Thomas Pambrun (T)

Department of Cardiac Pacing and Electrophysiology, Bordeaux University Hospital (CHU), Bordeaux, France.
IHU Liryc, Electrophysiology and Heart Modeling Institute, University of Bordeaux, Bordeaux, France.

Nicolas Derval (N)

Department of Cardiac Pacing and Electrophysiology, Bordeaux University Hospital (CHU), Bordeaux, France.
IHU Liryc, Electrophysiology and Heart Modeling Institute, University of Bordeaux, Bordeaux, France.

Hubert Cochet (H)

Department of Cardiac Pacing and Electrophysiology, Bordeaux University Hospital (CHU), Bordeaux, France.
IHU Liryc, Electrophysiology and Heart Modeling Institute, University of Bordeaux, Bordeaux, France.

Meleze Hocini (M)

Department of Cardiac Pacing and Electrophysiology, Bordeaux University Hospital (CHU), Bordeaux, France.
IHU Liryc, Electrophysiology and Heart Modeling Institute, University of Bordeaux, Bordeaux, France.

Tasuku Yamamoto (T)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan.

Takuro Nishimura (T)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan.

Susumu Tao (S)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan.

Shinsuke Miyazaki (S)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Department of Advanced Arrhythmia Research, Tokyo Medical and Dental University, Tokyo, Japan.

Masahiko Goya (M)

Department of Cardiac Pacing and Electrophysiology, Bordeaux University Hospital (CHU), Bordeaux, France.

Tetsuo Sasano (T)

Department of Cardiovascular Medicine, Tokyo Medical and Dental University, Tokyo, Japan.

Michel Haissaguierre (M)

Department of Cardiac Pacing and Electrophysiology, Bordeaux University Hospital (CHU), Bordeaux, France.
IHU Liryc, Electrophysiology and Heart Modeling Institute, University of Bordeaux, Bordeaux, France.

Pierre Jais (P)

Department of Cardiac Pacing and Electrophysiology, Bordeaux University Hospital (CHU), Bordeaux, France.
IHU Liryc, Electrophysiology and Heart Modeling Institute, University of Bordeaux, Bordeaux, France.

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