Integrated Brain-Machine-Body Interfaces

Friday, October 12, 2012 - 2:00pm
Fung Auditorium | Powell-Focht Bioengineering Hall
Gert Cauwenberghs, PhD


UC San Diego

Integrated Brain-Machine-Body Interfaces


The convergence of wireless silicon integrated systems, neurotechnology, and machine intelligence offers unprecedented opportunities to advance the effectiveness, efficiency, affordability, and ease of brain and body interfaces for physiological monitoring and human-machine communication. We present advances and current trends in wireless integrated brain-machine-body interface technology with examples of non-contact electroencephalogram (EEG) and electrocardiogram (ECG) brain and heart activity sensors, and other highly energy efficient, non-obtrusive wirelesss health monitoring devices for body area sensor networks.


Gert Cauwenberghs is Professor of Bioengineering and Co-Director of the Institute for Neural Computation at UC San Diego. He received the Ph.D. in Electrical Engineering from Caltech in 1994, and was previously Professor of Electrical and Computer Engineering at Johns Hopkins University, and Visiting Professor of Brain and Cognitive Science at MIT. His research focuses on micropower biomedical instrumentation, neuron-silicon and brain-machine interfaces, neuromorphic engineering, and adaptive intelligent systems. He is a Fellow of the IEEE and serves IEEE in a variety of roles including recently as General Chair of the IEEE Biomedical Circuits and Systems Conference (BioCAS 2011, San Diego), as Program Co-Chair of the IEEE Engineering in Medicine and Biology Conference (EMBC 2012, San Diego), and currently as Editor-in-Chief of the IEEE Transactions on Biomedical Circuits and Systems.