Wearable and implantable medical
devices can enable new approaches to the diagnosis and treatment of human
diseases. Design and implementation of sensors and neural interfaces that are
non-invasive or minimally invasive are essential for viability of such devices.
In this talk we will focus on miniaturized devices that are wireless and highly
energy-efficient. First an ultra-low-power sensor for continuous measurement of
glucose and lactate will be presented. This minimally invasive wireless device
can be injected just under the skin, and designed to have high dynamic range
and high resolution. In the second example, we introduce a closed-loop neural
interface for seizure detection and prevention. In this project, hardware
efficient classification and feature extraction techniques are utilized to
enhance the performance and energy-efficiency of the system.
Azita Emami received her M.S. and Ph.D.
degrees in Electrical Engineering from Stanford University in 1999 and 2004
respectively. She received her B.S. degree from Sharif University of Technology
in 1996. Professor Emami joined IBM T. J. Watson Research Center in 2004 as a research
staff member in the Communication Technologies Department. From Fall 2006 to
Summer 2007, she was an Assistant Professor of Electrical Engineering at
Columbia University in the city of New York. In 2007, she joined Caltech, where
she is now a Professor of Electrical Engineering and Medical Engineering. She
is a Heritage Medical Research Institute Investigator, and serves as the deputy
chair of division of Engineering and Applied Sciences at Caltech. Her current
research interests include mixed-signal integrated circuits and systems,
high-speed on-chip and chip-to-chip interconnects, system and circuit design
solutions for highly-scaled CMOS technologies, wearable and implantable devices
for neural recording, stimulation, and efficient drug delivery.
Qualcomm San Diego Campus (Sorrento Valley) Building AZ Multipurpose A/B, 10155 Pacific Heights Blvd. San Diego, CA 92121