Caltech

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. 

Biography:

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. She was with IBM T. J. Watson Research Center from 2004 to 2006. In 2007, she joined Caltech, where she is now the Cherng Professor of Electrical Engineering and Medical Engineering. She also serves as the deputy chair of division of Engineering and Applied Science at Caltech. Her current research interests include mixed-signal integrated circuits and systems, high-speed optical interconnects, silicon photonics, wearable and implantable devices for neural recording, stimulation, sensing and drug delivery. She is currently the associated editor for the IEEE Journal of Solid State Circuits (JSSC), and an SSCS distinguished lecturer. 

Caltech

Biography: