1. Computer-assisted image processing 12 lead ECG model to diagnose hyperkalemia 
Venu Velagapudi, MD, John C. O'Horo, MD, Anu Vellanki, MD, Stephen P. Baker, MScPH, Rahul Pidikiti, MD, Jeffrey S. Stoff, MD, Dennis A. Tighe, MD 
Journal of Electrocardiology 
Volume 50, Issue 1, Pages (January 2017)
DOI: /j.jelectrocard
Copyright © 2016 Elsevier Inc. Terms and Conditions

2. Fig. 1
Figure adapted from Frohnert et al. [12] to illustrate T wave and P wave measurements.
Journal of Electrocardiology  , DOI: ( /j.jelectrocard )
Copyright © 2016 Elsevier Inc. Terms and Conditions

3. Fig. 2
ROC of the mixed linear model refit with standardized ECG variables excluding P wave height (Training set). Area under the curve (AUC) 0.856, 95% confidence interval to Asymptotic Sig. P Variables: T wave width, new QRS width>100msec, descending T wave slope and P wave width.
Journal of Electrocardiology  , DOI: ( /j.jelectrocard )
Copyright © 2016 Elsevier Inc. Terms and Conditions

4. Fig. 3
ROC of the final simplified model (training set). Area under the curve (AUC) 0.798, 95% confidence interval to Asymptotic Sig. P Variables: T wave width, new QRS width>100msec, descending T wave slope.
Journal of Electrocardiology  , DOI: ( /j.jelectrocard )
Copyright © 2016 Elsevier Inc. Terms and Conditions

5. Fig. 4
ROC of the validation set. Area under the curve (AUC) 0.783, 95% confidence interval to Asymptotic Sig. P
Journal of Electrocardiology  , DOI: ( /j.jelectrocard )
Copyright © 2016 Elsevier Inc. Terms and Conditions

6. Journal of Electrocardiology 2017 50, 131-138DOI: (10. 1016/j
Journal of Electrocardiology  , DOI: ( /j.jelectrocard )
Copyright © 2016 Elsevier Inc. Terms and Conditions