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: . 2009. A 2.6-μW Sub-threshold Mixed-signal ECG SoC. Symposium on VLSI Circuits.
. 2009. Mobile Health Monitoring Through Biotelemetry. Bodynets.
. 2009. Sub-threshold Operation and Cross-Hierarchy Design for Ultra Low Power Wearable Sensors. International Symposium on Circuits and Systems.
. 2009. Body area sensor networks: Challenges and opportunities. Computer. 42:58u201365.