e-SCP-ECG+v2 Protocol: Expanding the e-SCP-ECG+ Protocol

  • George J. Mandellos
  • Maria Papaioannou
  • Theodor Panagiotakopoulos
  • Dimitrios K. LymberopoulosEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 263)


Nowadays, the fast-growing technology market for sensors and smart devices allows anyone to constantly monitor important vital parameters, like electrocardiogram (ECG). Mobile health systems typically employ data transmission to the premises of the health service provider via appropriate telecommunication protocols, which often consider only vital parameters. However, these parameters are likely to vary, depending on each person’s exercise, psychological condition, habits, environmental conditions and many other factors. Thus, it is necessary to utilize a protocol that is able to carry additional data concerning factors that are tightly connected with the quality of vital sign measurements. This paper proposes an extended version of the e-SCP-ECG+ protocol, mainly used for ECG data transmission, in order to include several types of information that affect the quality of the obtained signal, as well as the diagnosis process. The aim is to offer medical experts with an enriched clinical view of the patients so as to diagnose a medical incident more accurately.


e-SCP-ECG+ Vital signs Health communication protocol 


  1. 1.
    Health Informatics – Standard Communication Protocol – Computer assisted electrocardio-graphy, CEN/TC251, prEN 1064 (2002)Google Scholar
  2. 2.
    OpenECG Portal, Internet address.
  3. 3.
    Mandellos, G., Koukias, M., Styliadis, J., Lymberopoulos, D.: e-SCP-ECG + Protocol: an expansion on SCP-ECG protocol for health telemonitoring — pilot implementation Hindawi publishing corporation. Int. J. Telemed. Appl. 2010(137201), 17 (2010)Google Scholar
  4. 4.
    Adams-Hamoda, M., Caldwell, M., Stotts, N., Drew, B.: Factors to consider when analyzing 12-lead electrocardiograms for evidence of acute myocardial ischemia. J. Crit. Care 12(1), 9–18 (2003)Google Scholar
  5. 5.
    Zhang, X., Wang, X., Li, L., Zhang, G., Gao, Y., Cui, J.: An analysis of factors influencing electrocardiogram stress test for detecting coronary heart disease. Chin. Med. J. (Engl.) 112(7), 590–592 (1999)Google Scholar
  6. 6.
    Rautaharju, P.M., Zhou, S.H., Wong, S., et al.: Sex differences in the evolution of the electrocardiographic QT interval with age. Can. J. Cardiol. 8, 690–695 (1992)Google Scholar
  7. 7.
    Dellborg, M., Herlitz, J., Emanuelsson, H., Swedberg, K.: ECG changes during myocardial ischemia: differences between men and women. J. Electrocardiol. 27(suppl), 42–45 (1994)CrossRefGoogle Scholar
  8. 8.
    Goloba, M., Nelson, S., Macfarlane, P.: The Electrocardiogram in Pregnancy, Computing in Cardiology, pp. 693 − 696, Belfast (2010). ISSN 0276-6574Google Scholar
  9. 9.
    Singh Dhillon, H., Singh Rekhi, N.: The effect of emotions on electrocardiogram. Acad. Res. Int. 1(1), 280–283 (2011). ISSN: 2223-9553Google Scholar
  10. 10.
    Selvaraj, J., Murugarran, M., Wan, K., Yaacod, S.: Classification of emotional states from ECG signals: a non-linear approach based on hurst. Biomed. Eng. Online 12 (2013)Google Scholar
  11. 11.
    Emotion detection in human beings using ECH signals. Int. J. Eng. Trends Technol. 4(5), 1337–1342 (2013)Google Scholar
  12. 12.
    Agrafioti, F., Hatzinakos, D.: ECG pattern analysis for emotion detection. Proc. IEEE Trans. Affect. Comput. 3(31), 102–115 (2012)CrossRefGoogle Scholar
  13. 13.
    Iwanga, K., Saito, S., Shimomura, Y., Harada, H., Katsuura, T.: The effect of mental loads on muscle tension, blood pressure and blink rate. J. Physiol. Anthropol. Appl. Hum. Sci. 19(3), 135–141 (2000)CrossRefGoogle Scholar
  14. 14.
    Frank, S., Colliver, J.A., Frank, A.: The electrocardiogram in obesity: statistical analysis of 1,029 patients. J. Am. Coll. Cardiol. 7, 295–299 (1986)CrossRefGoogle Scholar
  15. 15.
  16. 16.
  17. 17.
    Atsushi Kotera, A., et al.: Electrocardiogram findings of patients with serum potassium levels of nearly 10.0 mmol/L: a report of two cases. Acute Med. Surg. 1, 234–237 (2014)CrossRefGoogle Scholar
  18. 18.
    Cairo, J.M.: PILBEAM’s Mechanical Ventilation - Physiological and Clinical Applications, 5th edn. Elsevier Mosby, Missouri (2012)Google Scholar
  19. 19.
  20. 20.
  21. 21.
    Hazari, M., Haykal-Coates, N., Winsett, D., Costa, D., Farraj, A.: Continuous electrocardiogram reveals differences in the short-term cardiotoxic response of wistar-kyoto and spontaneously hypertensive rats to doxorubicin. Toxicol. Sci. 110(1), 224–234 (2009)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • George J. Mandellos
    • 1
  • Maria Papaioannou
    • 1
  • Theodor Panagiotakopoulos
    • 2
  • Dimitrios K. Lymberopoulos
    • 1
    Email author
  1. 1.Wire Communication Laboratory, Electrical and Computer Engineering DepartmentUniversity of PatrasRionGreece
  2. 2.Mobile and Pervasive Computing, Quality and Ambient Intelligence Laboratory, School of Science and TechnologyHellenic Open UniversityPatrasGreece

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