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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
1446908
biblio
A 64-channel ultra-low power bioelectric signal acquisition system for brain-computer interface
Submitted by el_wehby on Mon, 05/14/2018 - 3:12pm
1446908
biblio
A small, portable, battery-powered brain-computer interface system for motor rehabilitation
Submitted by el_wehby on Mon, 05/14/2018 - 3:12pm
1446908
biblio
Feasibility of an ultra-low power digital signal processor platform as a basis for a fully implantable brain-computer interface system
Submitted by el_wehby on Mon, 05/14/2018 - 3:11pm
1446908
biblio
A Low-Cost, Fully Programmable, Battery Powered Direct Cortical Electrical Stimulator
Submitted by el_wehby on Mon, 05/14/2018 - 3:11pm
1446908
biblio
Performance Assessment of a Custom, Portable and Low-Cost Brain-Computer Interface Platform
Submitted by el_wehby on Mon, 05/14/2018 - 3:11pm
1446908
biblio
Electrocorticographic Encoding of Human Gait in the Leg Primary Motor Cortex
Submitted by el_wehby on Mon, 05/14/2018 - 3:11pm
1446908
biblio
CMOS Ultralow Power Brain Signal Acquisition Front-Ends: Design and Human Testing
Submitted by el_wehby on Mon, 05/14/2018 - 3:11pm
1446908
file
CPS: Synergy: Collaborative Research: A Signal-Aware-Based Low-Power, Fully Human Implantable Brain-Computer Interface System to
Submitted by Payam Heydari on Wed, 11/15/2017 - 1:29am. Contributors:
Spencer Kellis
Payam Heydari
Charles Y. Liu
Zoran Nenadic
An H. Do
Rancho Los Amigos National Rehabilitation Center
University of California at Irvine
University of Southern California
1446908
Session 2: PI Lightning Talks
Presentation
