Volume 13, Issue 3, Pages (March 2016)

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Volume 13, Issue 3, Pages 713-720 (March 2016) Prediction of sudden cardiac death with automated high-throughput analysis of heterogeneity in standard resting 12-lead electrocardiograms  Tuomas V. Kenttä, PhD, Bruce D. Nearing, PhD, Kimmo Porthan, MD, PhD, Jani T. Tikkanen, MD, PhD, Matti Viitasalo, MD, PhD, Markku S. Nieminen, MD, PhD, Veikko Salomaa, MD, PhD, Lasse Oikarinen, MD, PhD, Antti Jula, MD, PhD, Kimmo Kontula, MD, PhD, Chris Newton-Cheh, PhD, Heikki V. Huikuri, MD, PhD, Richard L. Verrier, PhD, FHRS  Heart Rhythm  Volume 13, Issue 3, Pages 713-720 (March 2016) DOI: 10.1016/j.hrthm.2015.11.035 Copyright © 2016 Heart Rhythm Society Terms and Conditions

Figure 1 R-wave heterogeneity, J-wave heterogeneity, and T-wave heterogeneity in left precordial leads among sudden cardiac death cases and survivors. Values are presented as mean ± SEM. Heart Rhythm 2016 13, 713-720DOI: (10.1016/j.hrthm.2015.11.035) Copyright © 2016 Heart Rhythm Society Terms and Conditions

Figure 2 Superimposed left precordial lead ECGs (V4–V6) recorded in a survivor (left) and in a subject who suffered sudden cardiac death (SCD) (right) during the follow-up period illustrate R-wave heterogeneity (RWH), J-wave heterogeneity (JWH), and T-wave heterogeneity (TWH). Black horizontal bars indicate the periods when RWH, JWH, and TWH were measured. Heart Rhythm 2016 13, 713-720DOI: (10.1016/j.hrthm.2015.11.035) Copyright © 2016 Heart Rhythm Society Terms and Conditions

Figure 3 Kaplan-Meier curves of R-wave, J-wave, and T-wave heterogeneity for sudden cardiac death (SCD) with numbers of SCD events. Heart Rhythm 2016 13, 713-720DOI: (10.1016/j.hrthm.2015.11.035) Copyright © 2016 Heart Rhythm Society Terms and Conditions