Advanced Multi-parametric Monitoring and Analysis for Diagnosis and Optimal Management of Epilepsy and Related Brain Disorders: The ARMOR Project

André Bideaux, Christos P. Antonopoulos, Nikolaos S. Voros, Panagiota Anastasopoulou, Stefan Hey, Wilhelm Stork


The ARMOR project addresses the needs of the epileptic patient and healthcare professional, aiming at the design and development of a nonintrusive Personal Health System (PHS) for the monitoring and analysis of epilepsy- relevant multi-parametric data, (i.e. EEG, EOG, EMG, EKG, skin conductance data) and the documentation of the epilepsy related symptoms. ARMOR platform incorporates models derived from data analysis based on already existing state-of-the-art communication platform solutions emphasizing on security issues and required adaptations to meet ARMOR specifications. In this context, this chapter aims to provide an extensive description of the main aspects and issues addressed in the project as well as the main characteristics of the developed platform.


  1. Christian M. Korff. Ingrid E. Scheffer, "Epilepsy classification: a cycle of evolution and revolution", Curr Opin Neurol. 2013 Apr;26(2):163-7. doi: 10.1097/ WCO.0b013e32835ee58e.
  2. ANNE T. BERG, J. HELEN CROSS, "Classification of epilepsies and seizures: historical perspective and future directions", Handbook of Clinical Neurology, Vol. 107 (3rd series) Epilepsy, Part I H. Stefan and W.H. Theodore, Editors, 2012 Elsevier B.V
  3. Newton CR, Garcia HH, "Epilepsy in poor regions of the world", Lancet. 2012 Sep 29;380(9848):1193-201. doi: 10.1016/S0140-6736(12)61381-6.
  4. Badea A, Kostopoulos GK, Ioannides AA. Surface visualization of electromagnetic brain activity.J Neurosci Methods. 2003 Aug 15;127(2):137-47
  5. Barnathan M, V. Megalooikonomou, C. Faloutsos, F. Mohamed, S. Faro, «High-order Concept Discovery in Functional Brain Images», 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Rotterdam, The Netherlands, 2010, pp. 664-667.
  6. Barnathan M, V. Megalooikonomou, C. Faloutsos, F.B. Mohamed, S. Faro, «TWave: High-Order Analysis of Spatiotemporal Data», In Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Hyderabad, India, June, 21-24, 2010, Advances in Knowledge Discovery and Data Mining, Lecture Notes in Computer Science, 2010, Volume 6118/2010, pp. 246-253.
  7. Iasemidis LD, Shiau DS, Pardalos PM, Chaovalitwongse W, Narayanan K, Prasad A, Tsakalis K, Carney PR, and Sackellares JC. Long-Term prospective on-line real-time seizure prediction. Clinical Neurophysiology 2005; 116(3):532-44.
  8. Ioannides AA, Corsi-Cabrera M, Fenwick P, del Rio Portilla Y, Laskaris N, Khurshudyan A, Theofilou D, Shibata T, Uchida S, Nakabayashi T and Kostopoulos GK.MEG tomography of human cortex and brainstem activity in waking and REM sleep saccades. Cerebral Cortex, 2004;14(1):56-72.
  9. Velis D, Plouin P, Gotman J, da Silva FL; ILAE DMC Subcommittee on Neurophysiology. Recommendations regarding the requirements and applications for long-term recordings in epilepsy. Epilepsia 2007; 48(2), 379-84
  10. Stefan H., Hopfengärtner R.: Epilepsy monitoring for therapy: Challenges and perspectives. Clinical Neurophysiology 2009; 120:653-58.
  11. Jones V.M., et al.: Biosignal and context monitoring: distributed multimedia applications of body area networks in healthcare. 10th Workshop on Multimedia Signal Processing in Cairns, 2008.
  12. Zijlmans M., Flanagan D., Gotman J.: Heart rate changes and ECG abnormalities during epileptic seizures: prevalence and definition of an objective clinical sign. Epilepsia 2002; 43: 847-54.
  13. Massé F., Penders J., Serteyn A., Bussel M. van, Arends J.: Miniaturized Wireless ECGMonitor for Real-Time Detection of Epileptic Seizures. In: Wireless Health'10, San Diego, USA (2010)
  14. Nijsen, T. M., Arends, J. B., Griep, P. A., Cluitmans, P. J.: The potential value of threedimensional accelerometry for detection of motor seizures in severe epilepsy. In: Epilepsy & Behavior 7, 1, 74-84 (2005)
  15. Poh M.-Z., Loddenkemper T., Swenson N., Goyal S., Madsen J., Picard R.: Continuous Monitoring of Electrodermal Activity During Epileptic Seizures Using a Wearable Sensor. In: 32nd Annual International Conference of the IEEE EMBS Buenos Aires, Argentina (2010)
  16. Texas Instrumments MSP430 microcontroller crypto software features informations: _Instruments_MSP430_Microcontrollers
  17. Somnomedics:
  18. Medset telesmart:
  19. Shimmer platform
  20. EU Directive: Data Protection Directive (Directive 95/46/EC), Directive on Privacy and Electronic Communications (2002/58/EC), Directive 2011/24/EU of the European Parliament and of the Council of 9 March 2011 on the application of patients' rights in crossborder healthcare
  21. MoviSens:
  22. Revoing2011: Revoking Networks "Advanced User Manual" Version 4.77 2/3/2011
  23. SANS Institute InfoSec Reading Room , "Brush up on Bluetooth", 08/21/2003
  24. George Krikis, Christos P. Antonopoulos, Nikolaos S. Voros, "Design and Implementation of Efficient Reconfigurable Cipher Algorithms for Wireless Sensor Networks" 11th IEEE International Conference on Industrial Informatics, Bohum, Germany, 29-31, July, 2013
  25. Eichelberg M, et al. (2005), “A survey and analysis of Electronic Healthcare Re-cord standards”, ACM Computing Surveys. 37(4):277-315
  26. CEN/TC251-ISO/TC215 (2010), I. E. Electronic Healthcare Record (EHR) Communication. Parts 1: Reference Model, Part 2: Archetype Model, Part 3: Reference Archetypes and Term lists, Part 4: Security and Part 5: Inter-face Specification. 2010
  27. Rector, A. et al. (1993), A framework for modelling the electronic medical record. s.l. : Methods Information Medical, 32: 109-119
  28. Beale, T. (2002), “Archetypes constraint-based domain models for future-proof information systems”, OOPSLA-2002 Workshop on Behavioural Semantics
  29. Microsoft HealthVault (
  30. World Medical Card (
  31. INDIVO Health (
  32. TOLVEN Patient/Clinician HR (
  33. OpenMRS (
  34. Schaaff K., Mueller L., Kirst M.,
  35. Kirst M., Ottenbacher J.,
  36. A. Bideaux, P. Anastasopoulou, S. Hey, A. Cañadas, A. Fernandez: Mobile monitoring of epileptic patients using a reconfigurable cyberphysical system that handles multiparametric data acquisition and analysis: MobiHealth 2014
  37. Hauser WA, Hesdorffer DC. Epilepsy: frequency, causes and consequences. New York: Demos Publications, 1990.
  38. Pearce JL,Mackintosh HT. Prospective study of convulsion in childhood. The New Zealand Medical Journal 1979;89:1-3.
  39. Elwes RCD, Chesterman P, Reynolds EH. Prognosis after a first untreated tonic-clonic seizure. Lancet 1985;2:752-3.
  40. Hauser WA, Rich SS, Annegers JF, et al. Seizure recurrence after a first unprovoked seizure: an extended follow-up. Neurology 1990; 40:1163-70.
  41. Berg AT, Shinnar S. The risk of seizure recurrence following a first unprovoked seizure: a quantitative review. Neurology 1991;41:965-72.

Paper Citation

in Harvard Style

Stork W., Bideaux A., Hey S., Anastasopoulou P., Voros N. and Antonopoulos C. (2014). Advanced Multi-parametric Monitoring and Analysis for Diagnosis and Optimal Management of Epilepsy and Related Brain Disorders: The ARMOR Project . In European IST Projects - The Quest for Excellence Towards 2020 - EPS Vienna, ISBN 978-989-758-101-4, pages 34-55. DOI: 10.5220/0006144500340055

in Bibtex Style

@conference{eps vienna14,
author={Wilhelm Stork and André Bideaux and Stefan Hey and Panagiota Anastasopoulou and Nikolaos S. Voros and Christos P. Antonopoulos},
title={Advanced Multi-parametric Monitoring and Analysis for Diagnosis and Optimal Management of Epilepsy and Related Brain Disorders: The ARMOR Project},
booktitle={European IST Projects - The Quest for Excellence Towards 2020 - EPS Vienna,},

in EndNote Style

JO - European IST Projects - The Quest for Excellence Towards 2020 - EPS Vienna,
TI - Advanced Multi-parametric Monitoring and Analysis for Diagnosis and Optimal Management of Epilepsy and Related Brain Disorders: The ARMOR Project
SN - 978-989-758-101-4
AU - Stork W.
AU - Bideaux A.
AU - Hey S.
AU - Anastasopoulou P.
AU - Voros N.
AU - Antonopoulos C.
PY - 2014
SP - 34
EP - 55
DO - 10.5220/0006144500340055