Literature DB >> 15132364

Reconstruction of the 12-lead electrocardiogram from reduced lead sets.

Stefan P Nelwan1, Jan A Kors, Simon H Meij, Jan H van Bemmel, Maarten L Simoons.   

Abstract

In clinical practice, continuous recording of all leads of the 12-lead electrocardiogram (ECG) is often not possible. We wanted to assess how well absent, noisy, or defective leads can be reconstructed from different lead subsets and how well lead reconstruction performs over time. A data set of 234 24-hour ECG recordings was divided into an equally sized training and test set. Precordial leads were systematically removed, and for all lead subsets including both limb leads and at least one precordial lead, the absent leads were reconstructed using general and patient-specific reconstruction templates. Reconstruction performance was measured by correlation between the original and reconstructed leads over the QRS and T waves, by average and maximum absolute ST differences, and by agreement when a clinical decision rule was applied. Reconstruction performance over time was evaluated at baseline, at 20 minutes, and 1, 6, 12 and 24 hours after the start of each recording. Reconstruction accuracy was high (correlation > or =0.932, average ST difference < or =30 microV, agreement > or =94.9%) with general reconstruction for lead sets with 1 or 2 precordial leads removed but was less satisfactory when more leads were missing. Patient-specific reconstruction performed well when up to 4 precordial leads were removed (correlation > or =0.967, average ST difference < or =26 microV, agreement > or =95.7%). Patient-specific reconstruction performance initially slightly decreased and then stabilized over time but remained much better than general reconstruction after 24 hours. Accurate reconstruction of the 12-lead ECG from lead subsets is possible over time. General reconstruction allows reconstruction of 1 or 2 precordial leads, whereas up to 4 leads can be reconstructed well using patient-specific reconstruction.

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Year:  2004        PMID: 15132364     DOI: 10.1016/j.jelectrocard.2003.10.004

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  7 in total

1.  The Reconstruction of a 12-Lead Electrocardiogram from a Reduced Lead Set Using a Focus Time-Delay Neural Network.

Authors:  Gerard H Smith; Dawie J Van den Heever; Wayne Swart
Journal:  Acta Cardiol Sin       Date:  2021-01       Impact factor: 2.672

Review 2.  ECG monitoring leads and special leads.

Authors:  Johnson Francis
Journal:  Indian Pacing Electrophysiol J       Date:  2016-07-17

3.  Reconstruction of 12-Lead Electrocardiogram from a Three-Lead Patch-Type Device Using a LSTM Network.

Authors:  Jangjay Sohn; Seungman Yang; Joonnyong Lee; Yunseo Ku; Hee Chan Kim
Journal:  Sensors (Basel)       Date:  2020-06-09       Impact factor: 3.576

4.  Automatic Classification of Myocardial Infarction Using Spline Representation of Single-Lead Derived Vectorcardiography.

Authors:  Yu-Hung Chuang; Chia-Ling Huang; Wen-Whei Chang; Jen-Tzung Chien
Journal:  Sensors (Basel)       Date:  2020-12-17       Impact factor: 3.576

5.  The effect of precordial lead displacement on ECG morphology.

Authors:  Michał Kania; Hervé Rix; Małgorzata Fereniec; Heriberto Zavala-Fernandez; Dariusz Janusek; Tomasz Mroczka; Günter Stix; Roman Maniewski
Journal:  Med Biol Eng Comput       Date:  2013-10-19       Impact factor: 2.602

6.  A lightweight piecewise linear synthesis method for standard 12-lead ECG signals based on adaptive region segmentation.

Authors:  Huaiyu Zhu; Yun Pan; Kwang-Ting Cheng; Ruohong Huan
Journal:  PLoS One       Date:  2018-10-19       Impact factor: 3.240

Review 7.  A Survey of Heart Anomaly Detection Using Ambulatory Electrocardiogram (ECG).

Authors:  Hong Zu Li; Pierre Boulanger
Journal:  Sensors (Basel)       Date:  2020-03-06       Impact factor: 3.576

  7 in total

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