On the Development of an Automatic ECG Monitoring System for Diabetic Patients

Nuno Gonçalves, Luis Coelho

Abstract

Diabetes has become progressively common throughout the world due to changes in the lifestyle and in the eating habits. Among other consequences, this disease seriously affects the circulatory system, whose complications are the leading cause of death in diabetics. In this paper we present a new device, developed specifically for diabetics, which allows estimating blood glucose levels and, simultaneously, automatically detect potentially pathological electrocardiographic patterns. We will present the entire processing sequence system and will give special importance to the modules targeting the electrocardiogram (ECG) and its analysis. A set of reference databases has been used as support for performance evaluation. The system proved to be able to effectively detect changes in the ECG morphology for occurrences of different nature and in various contexts. The use of the ECG signal, whose acquisition is non-invasive, provides comfort to the user and has the advantage of allowing a continuous patient monitoring.

References

  1. Gan, D.: Diabetes Atlas. International Diabetes Federation, Brussels (2003)
  2. Wild, S., Roglic, G., Green, A., Sicree, R., King, H.: Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 27 (2004) 1047-1053
  3. The Emerging Risk Factors Collaboration: Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. The Lancet 375 (2010) 2215 - 2222
  4. Laguna, P., Mark, R. G., Goldberger, A., Moody, G. B.: A database for evaluation of algorithms for measurement of qt and other waveform intervals in the ecg. Computers in Cardiology 24 (1997) 673-676
  5. Moody, G., Mark, R.: The mit-bih arrhythmia database on cd-rom and software for use with it. In: Proc. of Computers in Cardiology, Chicago, USA (1990) 185-188
  6. Laguna, P., Jané, R., Caminal, P.: Automatic detection of wave boundaries in multilead ECG signals: validation with the CSE database. Computers and biomedical research, an international journal 27 (1994) 45-60
  7. Vullings, H., Verhaegen, M., Verbruggen, H.: Automated ECG segmentation with dynamic time warping. Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286) 20 (1998) 163-166
  8. Zifan, A., Saberi, S., Moradi, M. H., Towhidkhah, F.: Automated ECG Segmentation Using Piecewise Derivative Dynamic Time Warping. Life Sciences (2005) 181-185
  9. Sakoe, H., Chiba, S.: Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans. on Acoustics, Speech and Signal Processing 26 (1978) 43-49
  10. Koski, A.: Segmentation of digital signals based on estimated compression ratio. IEEE trans. on Biomedical Eng. 43 (1996)
  11. Garcia, E. V., Marques, J. L. B., Pesquisas, G. D., Elétrica, D. D. E., Tecnológico, C.: Estudo para a detecc¸ a˜o na˜o-invasiva de hipoglicemia baseada na análise do electrocardiograma. Sleep (Rochester) 5 (2001)
  12. Lindstrom, T., Jorfeldt, L., Tegler, L.: Hypoglycaemia and cardiac arrythmias in patients with type 2 diabetes mellitus. Diabetic Medicine 9 (1992) 536-541
  13. Markel, A., Keidar, S., Yasin, K.: Hypoglycaemia induced ischaemic ecg changes. La presse Medical 9 (1994) 78-79
  14. Fukunaga, K.: Introduction to Statistical Pattern Recognition. Academic Press (1990)
Download


Paper Citation


in Harvard Style

Gonçalves N. and Coelho L. (2011). On the Development of an Automatic ECG Monitoring System for Diabetic Patients . In Proceedings of the 1st International Living Usability Lab Workshop on AAL Latest Solutions, Trends and Applications - Volume 1: AAL, (BIOSTEC 2011) ISBN 978-989-8425-39-3, pages 13-22. DOI: 10.5220/0003301700130022


in Bibtex Style

@conference{aal11,
author={Nuno Gonçalves and Luis Coelho},
title={On the Development of an Automatic ECG Monitoring System for Diabetic Patients},
booktitle={Proceedings of the 1st International Living Usability Lab Workshop on AAL Latest Solutions, Trends and Applications - Volume 1: AAL, (BIOSTEC 2011)},
year={2011},
pages={13-22},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003301700130022},
isbn={978-989-8425-39-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Living Usability Lab Workshop on AAL Latest Solutions, Trends and Applications - Volume 1: AAL, (BIOSTEC 2011)
TI - On the Development of an Automatic ECG Monitoring System for Diabetic Patients
SN - 978-989-8425-39-3
AU - Gonçalves N.
AU - Coelho L.
PY - 2011
SP - 13
EP - 22
DO - 10.5220/0003301700130022