Ultra-Low Power Sensor Design for Wireless Body Area Networks - Challenges, Potential Solutions, and Applications

This paper addresses the design challenges in wireless body area networks and gives an overview of recent technological achievements to tackle these challenges. It covers the areas of wireless communication, digital signal processing, sensing and read-out, and energy harvesting. In addition, this paper presents research platforms developed at IMEC/Holst Centre to illustrates how technological breakthroughs in these areas lead to the realization of ultra-low power wireless body area networks. It also demonstrates how the developed platform may help researchers to investigate emerging applications relying on wireless body area networks.

[1]  Refet Firat Yazicioglu,et al.  A 60 $\mu$W 60 nV/$\surd$Hz Readout Front-End for Portable Biopotential Acquisition Systems , 2007, IEEE Journal of Solid-State Circuits.

[2]  J. Whitehead Super-regenerative receivers , 1950 .

[3]  J.A.C. Theeuwes,et al.  Ambient RF Energy Scavenging: GSM and WLAN Power Density Measurements , 2008, 2008 38th European Microwave Conference.

[4]  Michel Dubois,et al.  Performance Evaluation of the , 1995 .

[5]  Kyung Sup Kwak,et al.  QoS Issues with Focus on Wireless Body Area Networks , 2008, 2008 Third International Conference on Convergence and Hybrid Information Technology.

[6]  C. Van Hoof,et al.  Thermoelectric MEMS generators as a power supply for a body area network , 2005, The 13th International Conference on Solid-State Sensors, Actuators and Microsystems, 2005. Digest of Technical Papers. TRANSDUCERS '05..

[7]  C. Van Hoof,et al.  Micropower energy harvesting , 2009, ESSDERC 2009.

[8]  M. Declercq,et al.  A low-power CMOS super-regenerative receiver at 1 GHz , 2001, IEEE J. Solid State Circuits.

[9]  Jan M. Rabaey,et al.  Ultra-Low Power Wireless Technologies for Sensor Networks , 2007 .

[10]  Mohamed Latrach,et al.  Ambient RF Energy Harvesting , 2010 .

[11]  M.P. Flynn,et al.  A Fully Integrated Auto-Calibrated Super-Regenerative Receiver in 0.13-$\mu{\hbox {m}}$ CMOS , 2007, IEEE Journal of Solid-State Circuits.

[12]  T. Torfs,et al.  Wireless Body Area Network for Sleep Staging , 2007, 2007 IEEE Biomedical Circuits and Systems Conference.

[13]  Enrico Mach,et al.  FOR LOW POWER , 1997 .

[14]  Timothy C. Green,et al.  Energy Harvesting From Human and Machine Motion for Wireless Electronic Devices , 2008, Proceedings of the IEEE.

[15]  Andrea Baschirotto,et al.  A 16mA UWB 3-to-5GHz 20Mpulses/s Quadrature Analog Correlation Receiver in 0.18/spl mu/m CMOS , 2006, 2006 IEEE International Solid State Circuits Conference - Digest of Technical Papers.

[16]  Refet Firat Yazicioglu,et al.  Wireless body-powered electrocardiography shirt , 2009 .

[17]  Paolo Fiorini,et al.  Human++: Emerging Technology for Body Area Networks , 2006, 2006 IFIP International Conference on Very Large Scale Integration.

[18]  Julien Penders,et al.  Body area network for monitoring autonomic nervous system responses , 2009, 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare.

[19]  Geert Van der Plas,et al.  Ultra-wide-band transmitter for low-power wireless body area networks: design and evaluation , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

[20]  Christian Steger,et al.  A low-power ASIP for IEEE 802.15.4a ultra-wideband impulse radio baseband processing , 2009, 2009 Design, Automation & Test in Europe Conference & Exhibition.

[21]  C. Van Hoof,et al.  Human++: From technology to emerging health monitoring concepts , 2008, 2008 5th International Summer School and Symposium on Medical Devices and Biosensors.

[22]  Jan M. Rabaey,et al.  A 2GHz 52 μW Wake-Up Receiver with -72dBm Sensitivity Using Uncertain-IF Architecture , 2008, 2008 IEEE International Solid-State Circuits Conference - Digest of Technical Papers.

[23]  Josef Bernhard,et al.  Body Area Network BAN – a Key Infrastructure Element for Patient-Centered Medical Applications , 2002, Biomedizinische Technik. Biomedical engineering.

[24]  C. Van Hoof,et al.  Comparative modelling for vibration scavengers [MEMS energy scavengers] , 2004, Proceedings of IEEE Sensors, 2004..

[25]  Refet Firat Yazicioglu,et al.  A 200 $\mu$ W Eight-Channel EEG Acquisition ASIC for Ambulatory EEG Systems , 2008, IEEE Journal of Solid-State Circuits.

[26]  Feng Shu,et al.  Performance evaluation of the IEEE 802.15.4 CSMA-CA protocol with QoS differentiation , 2008, 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[27]  Julien Penders,et al.  The Design and Analysis of a Real-Time, Continuous Arousal Monitor , 2009, 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks.

[28]  P. Vincent,et al.  RF front end of UWB receiver based on super-regeneration , 2007, 2007 IEEE International Conference on Ultra-Wideband.

[29]  Refet Firat Yazicioglu,et al.  Ultra-low power biopotential interfaces and their application in wearable and implantable systems , 2007, 2007 2nd International Workshop on Advances in Sensors and Interface.

[30]  P. Merken,et al.  Integrated low-power 24-channel EEG front-end , 2005 .