ECG CLASSIFICATION AND ANALYSIS IN A ZIGBEE WIRELESS SENSOR NETWORK

Enda Barrett, Des Chambers, Cosmin Rotariu

2009

Abstract

Wireless technology has become ubiquitous in our daily lives. From 802.11 to Bluetooth we have become familiar with new technologies and expectations are rife as to its potential. The medical world is potentially lucrative for the use of such technology. The ability to improve patient comfort, monitor patients remotely and increase device mobility should all contribute handsomely to patient life quality. It also offers the unique opportunity to monitor ambulatory patients in a real-time environment. Outlined is an approach to integrate an Electrocardiogram (ECG) classifier into an overall wireless patient monitoring system enabling real-time classification and analysis of ECG data. Our research has shown that it is possible to use the open source classifier (Hamilton, 2002) in a wireless sensor network for beat detection and arrhythmia classification. We have tested the classifier with up to 80 simulated sensors proving that its lightweight implementation enables it to cope perfectly with only minor modifications needed. It was found that the addition of multiples of sensors produced on average 0.01% performance degradation.

References

  1. Open Source ECG Analysis, P Hamilton E.P. Ltd Somerville, USA. IEEE Computers in Cardiology 2002.
  2. Pan J, Tompkins WJ. A real-time QRS detection algorithm. IEEE Trans.Biomed. Eng 1985;32 :230-6.
  3. Paul Frehill, Des Chambers, Cosmin Rotariu. A Wireless Network Sensor and Server Architecture for Legacy Medical Devices. In proceedings of 15th International Conference on Telecommunications. 16-19 June. 2008
  4. E. Jovanov, D. Raskovic, J. Price, J. Chapman, A. Moore, A. Krishnamurthy. Patient Monitoring Using Personal Area Networks of Wireless Intelligent Sensors. Biomed Sci Instrum, vol. 37, pp. 373-8, 2001.
  5. Rune Fensli, Einar Gunnarson, and Torstein Gundersen. A wearable ECG-recording system for continuous arrhythmia monitoring in a wireless tele-home-care situation. In Proceedings of the IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2005.
  6. A. Savitzky and Marcel J.E. Golay (1964). Smoothing and Differentiation of Data by Simplified Least Squares Procedures. Analytical Chemistry, 36: 1627-1639.
  7. Jun-Liang Lin et al. The Development of Wireless Sensor Network for ECG Monitoring. The proceedings of the 28th IEEE EMBS annual international conference 2006.
  8. IEEE 802.15.4 standard. Available at http://www.ieee802. org/15/pub/TG4.html
  9. H. Fariborzi, M. Moghavvemi, S. Mehrkanoon. Design of a Low-power Microcontroller-based Wireless ECG Monitoring System. The 5th Student Conference on Research and Development -SCOReD 2007 11-12 December 2007, Malaysia
  10. C. Rotariu, Des Chambers, Petronel Bigioi. “Lightweight PnP ECG sensor for Monitoring of Biomedical Signals”. In proceeding of 5th RoEduNet IEEE Internation Conference, June 2006, Pages 17-22.
  11. Hamilton PS, Tompkins WJ. Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database. IEEE Trans. Biomed Eng. 1986;33:1157-65.
  12. Paul Frehill, Des Chambers, Cosmin Rotariu. Using Zigbee to Integrate Medical Devices. Proceedings of the 29th Annual International Conference of the IEEE EMBS Cité Internationale, Lyon, France 2007
  13. Heart Fx 2000 Specification, http://www.medata.us/
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Paper Citation


in Harvard Style

Barrett E., Chambers D. and Rotariu C. (2009). ECG CLASSIFICATION AND ANALYSIS IN A ZIGBEE WIRELESS SENSOR NETWORK . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 978-989-8111-65-4, pages 322-326. DOI: 10.5220/0001548703220326


in Bibtex Style

@conference{biosignals09,
author={Enda Barrett and Des Chambers and Cosmin Rotariu},
title={ECG CLASSIFICATION AND ANALYSIS IN A ZIGBEE WIRELESS SENSOR NETWORK},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},
year={2009},
pages={322-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001548703220326},
isbn={978-989-8111-65-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
TI - ECG CLASSIFICATION AND ANALYSIS IN A ZIGBEE WIRELESS SENSOR NETWORK
SN - 978-989-8111-65-4
AU - Barrett E.
AU - Chambers D.
AU - Rotariu C.
PY - 2009
SP - 322
EP - 326
DO - 10.5220/0001548703220326