Assessment of QT-measurement accuracy using the 12-lead electrocardiogram derived from EASI leads

Martinez, Juan Pablo; Laguna, Pablo; Olmos, Salvador; Pahlm, Olle, et al. (2007). Assessment of QT-measurement accuracy using the 12-lead electrocardiogram derived from EASI leads. Journal of Electrocardiology, 40, (2), 172 - 179
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| Published | English
Authors:
Martinez, Juan Pablo ; Laguna, Pablo ; Olmos, Salvador ; Pahlm, Olle , et al.
Department:
Clinical Physiology (Lund)
Department of Electrical and Information Technology
Abstract:
The purpose of the present study is to assess QT-interval measurements from the EASI 12-lead electrocardiogram (ECG) as compared with the standard 12-lead ECG. The QT interval was automatically determined in simultaneously recorded standard and EASI 12-lead ECGs, using a validated wavelet-based delineator. The agreement between the 2 sets of measurements was quantified both on a lead-by-lead basis and a multilead basis with global definitions of QRS onset and T-wave end. The results show that the agreement between QT-interval measurements from the 2 lead systems is acceptable, with negligible mean differences and with correlation coefficients ranging from 0.91 to 0.98 depending on the lead studied. Although the SD shows a clear dependence on the selected lead (ranging from 9.2 to 26.4 milliseconds), differences are within the accepted tolerances for automatic delineation. In a few patients, large differences were found, mainly because of changes in morphology present in both lead systems. QT intervals measured by the multilead approach were considerably more stable than single-lead measurements and resulted in a much better agreement between the 2 lead systems (correlation coefficient, 0.98; QT difference, 1.1 +/- 9.8 milliseconds). Thus, the EASI 12-lead ECG may be used for reliable QT monitoring when the multilead delineation approach is adopted. (c) 2007 Elsevier Inc. All rights reserved.
ISSN:
1532-8430
LUP-ID:
ee7127c3-c8a8-44e4-9109-1f20acc9699f | Link: https://lup.lub.lu.se/record/ee7127c3-c8a8-44e4-9109-1f20acc9699f | Statistics

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