Affiliation:
1. University “Politehnica” of Bucharest, Romania
Abstract
Healthcare solutions using anytime, and anywhere remote healthcare surveillance devices, have become a major challenge. The patients with chronic diseases who need only therapeutic supervision are not advised to occupy a hospital bed. Using Wearable Wireless Body/Personal Area Network (WWBAN), intelligent monitoring of heart can supply information about medical conditions. Electrocardiogram (ECG) is the core reference in the diagnosis and medication process. An approach on healthcare solution WBAN based, for real-time ECG signal monitoring and long-term recording will be presented. Low-power wireless sensor nodes with local processing and encoding capabilities in order to achieve maximum mobility and flexibility are our main goal. ZigBee wireless technology will be used for transmission. Sensor device will be programmed to process locally the ECG signal and to raise an alert. Low-power and miniaturization are essential physical requirements.
Reference53 articles.
1. Atallah, L., Lo, B., Yang, G. Z., & Siegemund, F. (2008). Wirelessly accessible sensor populations (WASP) for elderly care monitoring. In Proceedings of the Second International Conference on Pervasive Computing Technologies for Healthcare (pp. 2–7).
2. Baker, C., Armijo, K., Belka, S., Benhabib, M., Bhargava, V., & Burkhart, N. … Wright, P. (2007). Wireless sensor networks for home health care. In Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops (vol. 2, pp. 832–837).
3. Bao, S., Zhang, Y., & Shen, L. (2005). Physiological signal based entity authentication for body area sensor networks and mobile healthcare systems. In Proceedings of the 27th Annual International Conference of the IEEE EMBS (pp. 2455–2458).
4. Barth, A. T., Hanson, M. A., Powell, H. C., Jr., & Lach, J. (2009). Tempo 3.1: A body area sensor network platform for continuous movement assessment. In Proceedings of the 6th International Workshop on Wearable and Implantable Body Sensor Networks (pp. 71–76). IEEE Computer Society.
5. Benhaddou, D., Balakrishnan, M., & Yuan, X. (2008). Remote healthcare monitoring system architecture using sensor networks. In Proceedings of the IEEE Region 5 Conference, Kansas City, MO (pp. 1–6).
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