Low power wireless acquisition module for wearable health monitoring systems

This paper presents a low power wireless acquisition module for use within wearable health monitoring systems and Ambient Assisted Living applications. The acquisition module provides continuous monitoring of the user's electrocardiogram (ECG) and activity, as well as the local temperature at the module. The module is placed on the chest of the user, and its wearability is achieved due to its fabrication based on a flexible PCB, and by the complete absence of connecting wires, as a result of the integration of flexible and dry ECG monitoring electrodes on the acquisition module, which do not require preparation with electrolyte gel. The design of the acquisition module also aimed for the minimization of power consumption to enable long-term continuous monitoring, namely concerning the wireless link, for which a proprietary low power solution was adopted. A low power analog frontend was custom designed for single-lead ECG monitoring, achieving a current consumption of 220 εA. The wireless acquisition module has a current consumption down to 1.3 mA while processing the acquisition of sensor data, and 4 mA when the wireless transceiver is active.

[1]  Aleksandar Milenkovic,et al.  Wireless sensor networks for personal health monitoring: Issues and an implementation , 2006, Comput. Commun..

[2]  Roy S. Kalawsky,et al.  Sensor Networks for Continuous Health Monitoring , 2004 .

[3]  G. Kathiresan,et al.  A 1V wireless transceiver for an ultra low power SoC for biotelemetry applications , 2007, ESSCIRC 2007 - 33rd European Solid-State Circuits Conference.

[4]  K.-P. Hoffmann,et al.  Flexible dry surface-electrodes for ECG long-term monitoring , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  Fabrice Axisa,et al.  Flexible technologies and smart clothing for citizen medicine, home healthcare, and disease prevention , 2005, IEEE Transactions on Information Technology in Biomedicine.

[6]  J. Stankovic,et al.  Crowded Spectrum in Wireless Sensor Networks , 2005 .

[7]  Christofer Toumazou,et al.  A 1 V Wireless Transceiver for an Ultra-Low-Power SoC for Biotelemetry Applications , 2008, IEEE Journal of Solid-State Circuits.

[8]  Yang Hao,et al.  Wireless body sensor networks for health-monitoring applications , 2008, Physiological measurement.

[9]  Nikolaos G. Bourbakis,et al.  A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[10]  Upkar Varshney,et al.  Pervasive Computing and Healthcare , 2009 .

[11]  A. Lymberis,et al.  Smart wearable systems for personalised health management: current R&D and future challenges , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

[12]  Upkar Varshney Pervasive healthcare computing , 2009 .

[13]  Rune Fensli,et al.  Human Factors Affecting the Patient's Acceptance of Wireless Biomedical Sensors , 2008, BIOSTEC.

[14]  Upkar Varshney,et al.  Pervasive Healthcare Computing: EMR/EHR, Wireless and Health Monitoring , 2009 .