Discussion of “Computational Electrocardiography: Revisiting Holter ECG Monitoring”

Christian Baumgartner; Enrico G. Caiani; Hartmut Dickhaus; Casimir A. Kulikowski; Karin Schiecke; Jan H. van Bemmel; Herbert Witte

doi:10.3414/ME15-15-0009

Methods of Information in Medicine, Table of Contents

Methods Inf Med 2016; 55(04): 312-321
DOI: 10.3414/ME15-15-0009

Original Articles

Schattauer GmbH

Discussion of “Computational Electrocardiography: Revisiting Holter ECG Monitoring”

Christian Baumgartner

¹Institute of Health Care Engineering with European Notified Body of Medical Devices, Graz University of Technology, Graz, Austria

,

Enrico G. Caiani

²Electronic, Information and Biomedical Engineering Department, Politecnico di Milano, Milano, Italy

,

Hartmut Dickhaus

³Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany

,

Casimir A. Kulikowski

⁴Department of Computer Science, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA

,

Karin Schiecke

⁵Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Friedrich Schiller University, Jena, Germany

,

Jan H. van Bemmel

⁶Department of Medical Informatics, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands

,

Herbert Witte

⁵Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Friedrich Schiller University, Jena, Germany

› Author Affiliations

Abstract

Summary

This article is part of a For-Discussion-Section of Methods of Information in Medicine about the paper “Computational Electrocardiography: Revisiting Holter ECG Monitoring” written by Thomas M. Deserno and Nikolaus Marx. It is introduced by an editorial. This article contains the combined commentaries invited to independently comment on the paper of Deserno and Marx. In subsequent issues the discussion can continue through letters to the editor.

Keywords

Automated ECG analysis - signal processing - computational biology - mobile health - big data

Full Text

References

References
1 Deserno TM, Marx N. Computational Electrocardiography: Revisiting Holter ECG Monitoring. Methods Inf Med 2016; 55 (Suppl. 04) 305-311.
2 Kastner P, Morak J, Modre R, Kollmann A, Ebner C, Fruhwald F, Schreier G. Innovative telemonitoring system for cardiology: from science to routine operation. Appl Clin Inform 2010; 1 (Suppl. 02) 165-76.
3 Ammenwerth E, Woess S, Baumgartner C, Fetz B, van der Heidt A, Kastner P, Modre-Osprian R, Welte S, Poelzl G. Evaluation of an Integrated Tele-monitoring Surveillance System in Patients with Coronary Heart Disease. Methods Inf Med 2015; 54 (Suppl. 05) 388-97.
4 Berger T, Pfeifer B, Hanser FF, Hintringer F, Fischer G, Netzer M, Trieb T, Stuehlinger M, Dichtl W, Baumgartner C, Pachinger O, Seger M. Single-beat noninvasive imaging of ventricular endocardial and epicardial activation in patients undergoing CRT. PLoS One 2011; 6 (Suppl. 01) e16255.
5 Kienast R, Stöger M, Handler M, Hanser F, Baumgartner C. Alterations of field potentials in isotropic cardiomyocyte cell layers induced by multiple endogenous pacemakers under normal and hypothermal conditions. Am J Physiol Heart Circ Physiol 2014; 307 (Suppl. 07) H1013-23.
6 Lettieri E, Fumagalli LP, Radaelli G, Bertele’ P, Vogt J, Hammerschmidt R, Lara JL, Carriazo A, Masella C. Empowering patients through eHealth: a case report of a pan-European project. BMC Health Serv Res 2015; 15: 309.
7 alivecor.com. [Internet]. Available from: http://www.alivecor.com.
8 cardiosecur.com. [Internet]. Available from: https://www.cardiosecur.com/en.
9 Lloyd-Jones DM, Wang TJ, Leip EP, Larson MG, Levy D, Vasan RS, D‘Agostino RB, Massaro JM, Beiser A, Wolf PA, Benjamin EJ. Lifetime risk for development of atrial fibrillation: the Framingham Heart Study. Circulation 2004; 110: 1042-46.
10 European Heart Rhythm Association, European Association for Cardio-Thoracic Surgery Camm AJ, Kirchhof P, Lip GY, Schotten U, Savelieva I, Ernst S, Van Gelder IC, Al-Attar N, Hindricks G, Prendergast B, Heidbuchel H, Alfieri O, Angelini A, Atar D, Colonna P, De Caterina R, De Sutter J, Goette A, Gorenek B, Heldal M, Hohloser SH, Kolh P, Le Heuzey JY, Ponikowski P, Rutten FH. Guidelines for the management of atrial fibrillation: the Task Force for the Management of Atrial Fibrillation of the European Society of Cardiology (ESC). Eur Heart J 2010; 31 (Suppl. 19) 2369-429.
11 Camm AJ, Lip GY, De Caterina R, Savelieva I, Atar D, Hohnloser SH, Hindricks G, Kirchhof P. ESC Committee for Practice Guidelines-CPG. 2012 focused update of the ESC Guidelines for the management of atrial fibrillation: an update of the 2010 ESC Guidelines for the management of atrial fibrillation – developed with the special contribution of the European Heart Rhythm Association. Eur Heart J 2012; 33 (Suppl. 21) 2719-47.
12 Kirchhof P, Auricchio A, Bax J, Crijns H, Camm J, Diener HC, Goette A, Hindricks G, Hohnloser S, Kappenberger L, Kuck KH, Lip GY, Olsson B, Meinertz T, Priori S, Ravens U, Steinbeck G, Svernhage E, Tijssen J, Vincent A, Breithardt G. Outcome parameters for trials in atrial fibrillation: executive summary. Recommendations from a consensus conference organized by the German Atrial Fibrillation Competence NETwork (AFNET) and the European Heart Rhythm Association (EHRA). Eur Heart J 2007; 28: 2803-2817.
13 Lowres N, Krass I, Neubeck L, Redfern J, McLachlan AJ, Bennett AA, Freedman SB. Atrial fibrillation screening in pharmacies using an iPhone ECG: a qualitative review of implementation. Int J Clin Pharm 2015; 37 (Suppl. 06) 1111-20.
14 Haberman ZC, Jahn RT, Bose R, Tun H, Shinbane JS, Doshi RN, Chang PM, Saxon LA. Haberman ZC Wireless Smartphone ECG Enables Large-Scale Screening in Diverse Populations. J Cardiovasc Electrophysiol 2015; 26 (Suppl. 05) 520-6.
15 Olgun Kucuk H, Kucuk U, Yalcin M, Isilak Z. Time to use mobile health devices to diagnose paroxysmal atrial fibrillation. Int J Cardiol. 2015 Oct 21. pii: S0167–5273(15)30722–1.
16 Asmar R, Zanchetti A. Guidelines for the use of self-blood pressure monitoring: a summary of the first international consensus conference. J Hypertens 2000; 18: 493-508.
17 Costa M, Moody GB, Henry I, Goldberger AL. PhysioNet: an NIH research resource for complex signals. J Electrocardiol 2003; 36 Suppl 139-44.
18 Couderec JP. The telemetric and Holter ECG warehouse initiative (THEW): a data repository for the design, implementation and validation of ECG-related technologies. Conf Proc IEEE Eng Med Biol Soc 2010; 2010: 6252-5.
19 Huerta M, Haseltine F, Liu Y, Downing G, Seto B. NIH working definition of bioinformatics and computational biology. Technical report. National Institute of Health Bethesda, MD: 2000 Available from: https://www.bisti.nih.gov/docs/compubiodef.pdf.
20 BD2K. [Internet]. Available from: http://datascience.nih.gov/bd2k.
21 Veldhuisen DJ, Maass AH. Telemonitoring of Out-patients With Heart Failure. A Search for the Holy Grail? Circulation 2012; 125: 2965-2967.
22 Malik M. Autonomic tests to detect cardiac risk and their clinical practicality. J Cardiovasc Electro-physiol 2011; 22: 128-130.
23 Wellens HJJ, Schwartz PJ, Lindemans FW, Buxton AE, Goldberger JJ, Hohnloser SH, Huikuri HV, Kääb S, La Rovere MT, Malik M, Myerburg RJ, Si-moons ML, Swedberg K, Tijssen J, Voors AA, Wilde AA. Risk stratification for sudden cardiac death: current status and challenges for the future. European Heart Journal 2014; 35: 1642-1651.
24 Kohn MS, Sun J, Knoop S, Shabo A, Carmeli B, Sow D, Syed-Mahmood T, Rapp W. IBM’s Health Analytics and Clinical Decision Support. Yearb Med Inform 2014; 154-62.
25 Martin-Sanchez F, Verspoor K. Big Data in Medicine Is Driving Big Changes. Yearb Med Inform 2014; 14-20.
26 Elgammal A, Lee CS. Homeomorphic Manifold Analysis (HMA): Generalized Separation of Style and Content on Manifolds. Image and Vision Computing 2013; 31 (Suppl. 04) 291-310.
27 Miller RA, Pople HE, Myers JD. INTERNIST1: An experimental computer-based diagnostic consultant for general internal medicine. N Engl J Med 1982; 307: 46876.
28 Feldman MJ, Barnett GO. An approach to evaluating the accuracy of DXplain. Comput Meth Progr Biomed 1991; 35: 2616.
29 Warner Jr HR. Iliad: moving medical decision making into new frontiers. Methods Inf Med 1989; 28: 370-2.
30 Van Bemmel JH, Willems JL. eds. Special issue on CSE. Methods Inf Med 1990; 29: 259-423.
31 Willems JL, Arnaud P, van Bemmel JH. et al. Assessment of the performance of ECG computer programs with the use of a reference database. Circulation 1985; 71: 52334.
32 Willems JL, Abreu-Lima C, Arnaud P. et al. The diagnostic performance of computer programs for the interpretation of electrocardiograms. New Engl J Med 1991; 325: 1767-73.
33 Alix JJP, Kandler RH, Mordekar SR. The value of long term EEG monitoring in children: A comparison of ambulatory EEG and video telemetry. Seizure-Eur J Epilep 2014; 23 (Suppl. 08) 662-5.
34 Noe KH, Drazkowski JF. Safety of Long-term Video-Electroencephalographic Monitoring for Evaluation of Epilepsy. Mayo Clin Proc 2009; 84 (Suppl. 06) 495-500.
35 Witte H, Iasemidis LD, Litt B. Special issue on epileptic seizure prediction. IEEE Transactions on Biomedical Engineering 2003; 50 (Suppl. 05) 537-9.
36 Jory C, Shankar R, Coker D, McLean B, Hanna J, Newman C. Safe and sound? A systematic literature review of seizure detection methods for personal use. Seizure 2016; 36: 4-15.
37 Schiecke K, Wacker M, Piper D, Benninger F, Feucht M, Witte H. Time-Variant, Frequency-Selective, Linear and Nonlinear Analysis of Heart Rate Variability in Children With Temporal Lobe Epilepsy. IEEE Transactions on Biomedical Engineering 2014; 61 (Suppl. 06) 1798-808.
38 Varon C, Jansen K, Lagae L, Van Huffel S. Can ECG monitoring identify seizures?. J Electrocardiol 2015; 48 (Suppl. 06) 1069-74.
39 Becker DE. Fundamentals of electrocardiography interpretation. Anesth Prog 2006; 53 (Suppl. 02) 53-63.
40 Lotufo PA, Valiengo L, Bensenor IM, Brunoni AR. A systematic review and meta-analysis of heart rate variability in epilepsy and antiepileptic drugs. Epilepsia 2012; 53 (Suppl. 02) 272-82.
41 Ryvlin P, Nashef L, Lhatoo SD, Bateman LM, Bird J, Bleasel A. et al. Incidence and mechanisms of cardiorespiratory arrests in epilepsy monitoring units (MORTEMUS): a retrospective study. Lancet Neurol 2013; 12 (Suppl. 10) 966-77.
42 Spencer SS. Neural networks in human epilepsy: Evidence of and implications for treatment. Epilepsia 2002; 43 (Suppl. 03) 219-27.
43 Sugihara G, May R, Ye H, Hsieh CH, Deyle E, Fogarty M. et al. Detecting Causality in Complex Ecosystems. Science 2012; 338 (6106) 496-500.
44 Piper D, Schiecke K, Pester B, Benninger F, Feucht M, Witte H. Time-variant coherence between heart rate variability and EEG activity in epileptic patients: an advanced coupling analysis between physiological networks. New J Phys 2014; 16: 115012.