{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T10:49:07Z","timestamp":1782816547538,"version":"3.54.5"},"reference-count":29,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2023,7,11]],"date-time":"2023-07-11T00:00:00Z","timestamp":1689033600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cardiovasc electrophysiol"],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>The impact of filtering on bipolar electrograms (EGMs) has not been systematically examined. We tried to clarify the optimal filter configuration for ventricular tachycardia\u00a0(VT)\u00a0ablation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Fifteen patients with VT were included. Eight different filter configurations were prospectively created for the distal bipoles of the ablation catheter: 1.0\u2013250, 10\u2013250, 100\u2013250, 30\u201350, 30\u2013100, 30\u2013250, 30\u2013500,\u00a0and 30\u20131000\u2009Hz. Pre\u2010ablation stable EGMs with good contact (contact force\u2009&gt;\u200910\u2009g) were analyzed. Baseline fluctuation, baseline noise, bipolar peak\u2010to\u2010peak voltage, and presence of local abnormal ventricular activity (LAVA) were compared between different filter configurations.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>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\u2010pass filter of (HPF)\u2009\u2264\u200910\u2009Hz (<jats:italic>p<\/jats:italic>\u2009&lt;\u2009.001). Noise level was lowest at 30\u201350\u2009Hz (0.018 [0.012\u20130.029]\u2009mV), increased as the low\u2010pass filter (LPF) extended, and was highest at 30\u20131000\u2009Hz (0.047 [0.041\u20130.061]\u2009mV) (<jats:italic>p<\/jats:italic>\u2009&lt;\u2009.001). Conversely, the HPF did not affect the noise level at \u226430\u2009Hz. As the HPF extended to 100\u2009Hz, bipolar voltages significantly decreased (<jats:italic>p<\/jats:italic>\u2009&lt;\u2009.001), but were not affected when the LPF was extended to \u2265100\u2009Hz. LAVAs were most frequently detected at 30\u2013250\u2009Hz (207\/246; 84.2%) and 30\u2013500\u2009Hz (208\/246; 84.6%), followed by 30\u20131000\u2009Hz (205\/246;\u00a083.3%), but frequently missed at LPF\u2009\u2264\u2009100\u2009Hz or HPF\u2009\u2264\u200910\u2009Hz (<jats:italic>p<\/jats:italic>\u2009&lt;\u2009.001). A 50\u2010Hz notch\u2010filter reduced the bipolar voltage by 43.9% and LAVA\u2010detection by 34.5% (<jats:italic>p<\/jats:italic>\u2009&lt;\u2009.0001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Bipolar EGMs are strongly affected by filter settings in scar\/border areas. In all, 30\u2013250\u00a0or 30\u2013500\u2009Hz may be the best configuration, minimizing the baseline fluctuation, baseline noise, and detecting LAVAs. Not applying the 50\u2010Hz notch filter may be beneficial to avoid missing VT\u00a0substrate.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jce.15997","type":"journal-article","created":{"date-parts":[[2023,7,11]],"date-time":"2023-07-11T07:09:04Z","timestamp":1689059344000},"page":"1708-1717","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Impact of filter configurations on bipolar EGMs: An optimal filter setting for identifying VT substrates"],"prefix":"10.1111","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8473-7514","authenticated-orcid":false,"given":"Masateru","family":"Takigawa","sequence":"first","affiliation":[{"name":"Department of Cardiac Pacing and Electrophysiology Bordeaux University Hospital (CHU) Bordeaux France"},{"name":"IHU Liryc, Electrophysiology and Heart Modeling Institute University of Bordeaux  Bordeaux France"},{"name":"Department of Cardiovascular Medicine Tokyo Medical and Dental University Tokyo Japan"},{"name":"Department of Advanced Arrhythmia Research Tokyo Medical and Dental University Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frederic","family":"Sacher","sequence":"additional","affiliation":[{"name":"Department of Cardiac Pacing and Electrophysiology Bordeaux University Hospital (CHU) Bordeaux France"},{"name":"IHU Liryc, Electrophysiology and Heart Modeling Institute University of Bordeaux  Bordeaux France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7755-3613","authenticated-orcid":false,"given":"Claire","family":"Martin","sequence":"additional","affiliation":[{"name":"Department of Cardiac Pacing and Electrophysiology Bordeaux University Hospital (CHU) Bordeaux France"},{"name":"Royal Papworth Hospital Cambridge UK"},{"name":"Department of Medicine Cambridge University  Cambridge 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