Title :
A Reconfigurable Neural Signal Processor (NSP) for Brain Machine Interfaces
Author :
Darmanjian, Shalom ; Cieslewski, Grzegorz ; Morrison, Scott ; Dang, Benjamin ; Gugel, Karl ; Principe, Jose
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
In this paper, we present a design for a wearable computational DSP system that alleviates the issues of a previous design and provides a much smaller and lower power solution for the overall BMI goals. The system first acquires the neural data through a high speed data bus in order to train and evaluate prediction models. Then it wirelessly transmits the predicted results to a simulated robot arm. This system has been built and successfully tested with real and simulated data
Keywords :
bioelectric phenomena; biomedical telemetry; digital signal processing chips; medical robotics; medical signal processing; neurophysiology; prosthetics; radiocommunication; user interfaces; brain machine interfaces; high-speed data bus; reconfigurable neural signal processor; robot prosthetic arm; wearable computational DSP system; wireless transmission; Bandwidth; Digital signal processing; Hardware; Power system modeling; Predictive models; Robots; Signal design; Signal processing; System testing; Trajectory;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260423