Micro-Power Integrated Circuits for Neural Recording

Abstract

Autonomous wireless sensors for biomedical monitoring are becoming technology plausible. Though they have the potential to dramatically improve quality of life for patients suffering from a wide variety of illnesses an injuries, the power consumption requirements pose several remaining challenges. These include low-noise signal acquisition, local processing, and wireless communication.

In this talk, I will describe low-power analog circuits that have been developed to address the signal acquisition and processing problems for neural recording systems. I will also present preliminary results from integrated recording systems and discuss future research.

Speaker Biography

Jeremy Holleman received the Bachelor’s degree from Georgia Tech in 1997 and the Master’s degree from the University of Washington in 2006, where he is currently a Ph.D. candidate in the Wireless Sensing Lab. He has also held industrial positions at Data I/O and National Semiconductor. His research focuses on low-power circuits for biomedical applications, floating-gate circuits, and analog signal processing.