Discussion of “Computational Electrocardiography: Revisiting Holter ECG Monitoring”

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.

[1]  Sabine Van Huffel,et al.  Can ECG monitoring identify seizures? , 2015, Journal of electrocardiology.

[2]  M. Yalçın,et al.  Time to use mobile health devices to diagnose paroxysmal atrial fibrillation. , 2016, International journal of cardiology.

[3]  M Demeester,et al.  Assessment of the performance of electrocardiographic computer programs with the use of a reference data base. , 1985, Circulation.

[4]  Ahmed M. Elgammal,et al.  Homeomorphic Manifold Analysis (HMA): Generalized separation of style and content on manifolds , 2013, Image Vis. Comput..

[5]  A. Zanchetti,et al.  Guidelines for the use of self-blood pressure monitoring: a summary report of the First International Consensus Conference. Groupe Evaluation & Measure of the French Society of Hypertension. , 2000, Journal of hypertension.

[6]  D. Becker,et al.  Fundamentals of electrocardiography interpretation. , 2006, Anesthesia progress.

[7]  Maarten L. Simoons,et al.  Risk stratification for sudden cardiac death: current status and challenges for the future , 2014, European heart journal.

[8]  Karin M. Verspoor,et al.  Big Data in Medicine Is Driving Big Changes , 2014, Yearbook of Medical Informatics.

[9]  Brian Litt,et al.  Special issue on epileptic seizure prediction , 2003, IEEE Trans. Biomed. Eng..

[10]  A. Camm,et al.  Guidelines for the management of atrial fibrillation: the Task Force for the Management of Atrial Fibrillation of the European Society of Cardiology (ESC). , 2010, European heart journal.

[11]  George B Moody,et al.  PhysioNet: an NIH research resource for complex signals. , 2003, Journal of electrocardiology.

[12]  Daby M. Sow,et al.  IBM’s Health Analytics and Clinical Decision Support , 2014, Yearbook of Medical Informatics.

[13]  Jeroen J. Bax,et al.  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. , 2012, European heart journal.

[14]  Herbert Witte,et al.  Time-variant coherence between heart rate variability and EEG activity in epileptic patients: an advanced coupling analysis between physiological networks , 2014 .

[15]  George Sugihara,et al.  Detecting Causality in Complex Ecosystems , 2012, Science.

[16]  L. Saxon,et al.  Wireless Smartphone ECG Enables Large‐Scale Screening in Diverse Populations , 2015, Journal of cardiovascular electrophysiology.

[17]  Gerhard Hindricks,et al.  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. , 2012, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[18]  H R Warner Iliad: moving medical decision-making into new frontiers. , 1989, Methods of information in medicine.

[19]  A. Schulze-Bonhage,et al.  Incidence and mechanisms of cardiorespiratory arrests in epilepsy monitoring units (MORTEMUS): a retrospective study , 2013, The Lancet Neurology.

[20]  D. Levy,et al.  Lifetime Risk for Development of Atrial Fibrillation: The Framingham Heart Study , 2004, Circulation.

[21]  Nikolaus Marx,et al.  Computational Electrocardiography: Revisiting Holter ECG Monitoring , 2016, Methods of Information in Medicine.

[22]  Bertil Olsson,et al.  Outcome parameters for trials in atrial fibrillation: executive summary. , 2007, European heart journal.

[23]  S. Spencer Neural Networks in Human Epilepsy: Evidence of and Implications for Treatment , 2002, Epilepsia.

[24]  G O Barnett,et al.  An approach to evaluating the accuracy of DXplain. , 1990, Computer methods and programs in biomedicine.

[25]  N. Lowres,et al.  Atrial fibrillation screening in pharmacies using an iPhone ECG: a qualitative review of implementation , 2015, International Journal of Clinical Pharmacy.

[26]  Andre R Brunoni,et al.  A systematic review and meta-analysis of heart rate variability in epilepsy and antiepileptic drugs. , 2012, Epilepsia.

[27]  Jeroen J. Bax,et al.  Guidelines for the management of atrial fibrillation: the Task Force for the Management of Atrial Fibrillation of the European Society of Cardiology (ESC). , 2010, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[28]  F. Hanser,et al.  Alterations of field potentials in isotropic cardiomyocyte cell layers induced by multiple endogenous pacemakers under normal and hypothermal conditions. , 2014, American journal of physiology. Heart and circulatory physiology.

[29]  D. V. van Veldhuisen,et al.  Telemonitoring of outpatients with heart failure: a search for the holy grail? , 2012, Circulation.

[30]  P Kastner,et al.  Innovative telemonitoring system for cardiology: from science to routine operation , 2010, Thrombosis and Haemostasis.

[31]  J. Couderc The telemetric and holter ECG warehouse initiative (THEW): A data repository for the design, implementation and validation of ECG-related technologies , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[32]  Jane Hanna,et al.  Safe and sound? A systematic literature review of seizure detection methods for personal use , 2016, Seizure.

[33]  F. Hanser,et al.  Single-Beat Noninvasive Imaging of Ventricular Endocardial and Epicardial Activation in Patients Undergoing CRT , 2011, PloS one.

[34]  Autonomic Tests to Detect Cardiac Risk and Their Clinical Practicality , 2011, Journal of cardiovascular electrophysiology.

[35]  R Modre-Osprian,et al.  Evaluation of an Integrated Telemonitoring Surveillance System in Patients with Coronary Heart Disease , 2015, Methods of Information in Medicine.

[36]  Roland Asmara,et al.  Guidelines for the use of self-blood pressure monitoring: a summary report of the first international consensus conference , 2022 .

[37]  James J.P. Alix,et al.  The value of long term EEG monitoring in children: A comparison of ambulatory EEG and video telemetry , 2014, Seizure.

[38]  Cristina Masella,et al.  Empowering patients through eHealth: a case report of a pan-European project , 2015, BMC Health Services Research.

[39]  Matthias Wacker,et al.  Time-Variant, Frequency-Selective, Linear and Nonlinear Analysis of Heart Rate Variability in Children With Temporal Lobe Epilepsy , 2014, IEEE Transactions on Biomedical Engineering.

[40]  J. L. Willems,et al.  The diagnostic performance of computer programs for the interpretation of electrocardiograms. , 1992, The New England journal of medicine.