Brain-Machine Interface Circuits and Systems [Hardcover]

This book provides a complete overview of significant design challenges in respect to circuit miniaturization and power reduction of the neural recording system, along with circuit topologies, architecture trends, and (post-silicon) circuit optimization algorithms. The introduced novel circuits for signal conditioning, quantization, and classification, as well as system configurations focus on optimized power-per-area performance, from the spatial resolution (i.e. number of channels), feasible wireless data bandwidth and information quality to the delivered power of implantable system.

Introduction.-Neural Signal Conditioning Circuits.- Neural Signal Quantization Circuits.- Neural Signal ClassificationCircuits.- Brain-Machine Interface: System Optimization.- Conclusions and Recommendations.-Appendix.- Index.

Amir Zjajo received the M.Sc. and DIC degrees from the ImperialCollege London, London, U.K., in 2000 and the PhD. degree from EindhovenUniversity of Technology, Eindhoven, The Netherlands in 2010, all in electricalengineering. In 2000, he joined Philips Research Laboratories as a member ofthe research staff in the Mixed-Signal Circuits and Systems Group. From 2006until 2009, he was with Corporate Research of NXP Semiconductors as a Senior ResearchScientist. In 2009, he joined Delft University of Technology as a facultymember in Circuits and Systems group.

Dr. Zjajo has published more than 70 papers in referenced journalsand conference proceedings, and holds more than 10 US patents or patentpending. He is the author of the books Low-Voltage High-Resolution A/D Converters: Design,Testand Calibration (Springer,2011, Chinese translation, China Machine Press, 2015), and Stochastic Process Variationsin Deep-Submicron CMOS: Circuits and Algorithms (Springer, 2014). He serves as amember of Technical Program lƒ-