Main Article Content


 Nowadays, there is a significant improvement in technology regarding healthcare. Real-time monitoring systems improve the quality of life of patients as well as the performance of hospitals and healthcare centers. In this paper, we present an implementation of a designed framework of a telemetry system using ZigBee technology for automatic and real-time monitoring of Biomedical signals. These signals are collected and processed using 2-tiered subsystems. The first subsystem is the mobile device which is carried on the body and runs a number of biosensors. The second subsystem performs further processing by a local base station using the raw data which is transmitted on-request by the mobile device. The processed data as well as its analysis are then continuously monitored and diagnosed through a human-machine interface. The system should possess low power consumption, low cost and advanced configuration possibilities. This paper accelerates the digital convergence age through continual research and development of technologies related to healthcare.



Vital signs ZigBee Autonomous healthcare Adaptive architecture Reliable and secure data transmitssion

Article Details

How to Cite
Khriji, L., Touati, F., & Hamza, N. (2010). ZigBee-Based Telemetry System. The Journal of Engineering Research [TJER], 7(2), 32–39.


  1. Bracke, W., Merken, P., Puers, R. and Van Hoof, C., 2007, "Generic Architectures and Design Methods for Autonomous Sensors", Sens. and Actuators, pp. 881-888.
  2. Farshchi, S., Pesterev, A., Nuyujukian, P., Modi, I. and Judy, J., 2006, "A TinyOSenabled MICA2- based Wireless Neural Interface", IEEE Trans. Biomed. Eng., Vol. 53(7), pp. 1416-1424.
  3. FTDI 2005 FT232RL/FT245RL data sheet and application notes:
  4. Hidetoshi, M. and Hiroaki, T., 2006, "ZigBee Compliant Sensor Network", NEC Technical Journal, Vol. 1(1), pp. 102-105.
  5. Jinwen, X., Yang, C., Mason, A and Zhong, P., 2006, "Adaptive Multi-Sensor Interface System- On-Chip," IEEE Sensors, EXCO, Daegu, Korea. Jovanov, E., Gelabert, P., Adhami, R. and Smith, P., 2000, "Real-time Portable Heart Monitoring using Low Power DSP", International Conference on Signal Processing Applications and Technology, Dallas, Texas.
  6. Kang. Y.H. et al. 2006, "Sensors on Textile Substrates for Home-Based Healthcare Monitoring", 1st Transdisciplinary Conf. on Distributed Diagnosis and Home Healthcare, D2H2., pp. 5-7.
  7. Product Manual v1.xAx - 802.15.4 Protocol For OEM RF Module Part Numbers: XB24-...-001, XBP24- -001 IEEE 802.15.4 OEM RF Modules by MaxStream, Inc. Reid R. Harrison, Paul T. Watkins, Ryan J. Kier, Robert O. Lovejoy, Daniel J. Black, Bradley Greger, and Florian Solzbacher, 2007, "A Low- Power Integrated Circuit for a Wireless 100- Electrode Neural Recording System", IEEE Journal Of Solid-State Circuits, Vol. 42(1).
  8. Toral, S.K., Quero, J.M., Perez, M.E. and Franquelo, L.G., 2001, "A microprocessor based System for ECG Telemedicine and Telecare", IEEE Inter. Symp. On Circ. Syst., Sydney, Australia, Vol. 4, pp. 526-529.
  9. Van Helleputte, N., Tomasik, J.M., Galjan, W. and Mora-Sanchez, A., 2007, "A Flexible System-onchip (SoC) for Biomedical Signal Acquisition and Processing," Sens. and Actuators, pp. 361-368.
  10. ZigBee Alliance Document 02130, Network Layer Specification, July 2004