Custom, Battery-Free BSN Platform

Body sensor networks (BSNs) are rapidly becoming important tools in today's health care. The goal of the ultra low power BSN project is to develop a system-on-chip (SoC) operating in the sub-threshold regime to increase processing efficiency and life time of BSN nodes. Increased life time of these devices will result in reduced cost to consumer and less invasive procedures to replace batteries/nodes. Work is on-going, looking into optimizing the processor, adding accelerators, and energy harvesting.

Faculty: Ben Calhoun (UVA), Brian Otis (University of Washington)
Students: Yanqing Zhang (UVA), Yousef Shahsheer (UVA), Jim Boley (UVA), Alicia Klinefelter (UVA), Aatmesh Shrivastava (UVA) Helen Zhang (UW), Jason Silver(UW), Manohar Nagaraju (UW), Jagdish Pandey (UW)
Publications: Jocke S, Bolus J, Wooters SN, Jurik AD, Weaver AF, Blalock TN, Calhoun BH.  2009.  A 2.6-μW Sub-threshold Mixed-signal ECG SoC. Symposium on VLSI Circuits.
Jurik AD, Bolus J, Weaver AF, Calhoun BH, Blalock. TN.  2009.  Mobile Health Monitoring Through Biotelemetry. Bodynets.
Calhoun BH, Bolus J, Khanna S, Jurik AD, Weaver AF, Blalock TN.  2009.  Sub-threshold Operation and Cross-Hierarchy Design for Ultra Low Power Wearable Sensors. International Symposium on Circuits and Systems.
Hanson MA, Powell, Jr HC, Barth AT, Ringgenberg K, Calhoun BH, Aylor JH, Lach J.  2009.  Body area sensor networks: Challenges and opportunities. Computer. 42:58u201365.