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SSCS San Diego - Azita Emami

6:00 PM
Qualcomm San Diego Campus (Sorrento Valley) Building AZ Auditorium 10155 Pacific Heights Blvd. San Diego, CA 92121
IEEE Region 6 (Western USA)
Tony Babian – revive7@sbcglobal.net
Talk Title: Wearable and Implantable Biomedical Devices


Abstract: 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.


Bio: 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.