Title |
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Influence of myopotential interference on the Wavelet discrimination algorithm in implantable cardioverter-defibrillator
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Creator |
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Accessrights |
open access |
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Subject |
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Other
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Implantable cardioverter-defibrillator
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Other
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Tachycardia discrimination
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Other
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Morphology
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Other
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Myopotential interference
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Other
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Wavelet
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NDC
490
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Description |
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Abstract
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Background: Wavelet is a morphology-based algorithm for detecting ventricular tachycardia. The electrogram (EGM) source of the Wavelet algorithm is nominally programmed with the Can-RV coil configuration, which records a far-field ventricular potential. Therefore, it may be influenced by myopotential interference. Methods: We performed a retrospective review of 40 outpatients who had an implantable cardioverter-defibrillator (LCD) with the Wavelet algorithm. The percent-match score of the Wavelet algorithm was measured during the isometric chest press by pressing the palms together. We classified patients with percent-match scores below 70% due to myopotential interference as positive morphology change, and those with 70% or more as negative morphology change. Stored episodes of tachycardia were evaluated during the follow-up. Results: The number of patients in the positive morphology change group was 22 (55%). Amplitude of the Can-RV coil EGM was lower in the positive morphology change group compared to that in the negative group (3.9 +/- 1.3 mV vs. 7.4 +/- 1.6 mV, P=0.0015). The cut-off value of the Can-RV coil EGM was 5 mV (area under curve, 0.89). Inappropriate detections caused by myopotential interference occurred in two patients (5%) during a mean follow-up period of 49 months, and one of them received an inappropriate LCD shock. These patients had exhibited positive morphology change. Conclusions: The Wavelet algorithm is influenced by myopotential interference when the Can-RV coil EGM is less than 5 mV.
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Publisher |
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Elsevier
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Date |
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Language |
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Resource Type |
journal article |
Version Type |
VoR |
Identifier |
HDL
http://hdl.handle.net/2115/67300
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Relation |
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isIdenticalTo
DOI
https://doi.org/10.1016/j.joa.2016.08.005
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Journal |
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Journal of arrhythmia
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Volume Number33
Issue Number3
Page Start214
Page End219
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File |
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Oaidate |
2023-07-26 |