Title :
An autonomous real-time neural signal processor
Author :
Peng, Chung-Ching ; Bashirullah, Rizwan
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
fDate :
April 29 2009-May 2 2009
Abstract :
In this paper we present an autonomous and adaptive digital neural signal processor to enable real-time processing of neural signals for brain machine interfaces (BMIs). The algorithms and architectures provide autonomous operation with low computational and hardware complexity. This enables localized processing of neural signals to minimize wireless bandwidth and overall power dissipation.
Keywords :
adaptive signal processing; brain-computer interfaces; computational complexity; medical signal processing; neurophysiology; real-time systems; adaptive digital neural signal processor; autonomous real-time neural signal processor; brain machine interface; computational complexity; hardware complexity; neural signal processing; power dissipation; real-time processing; wireless bandwidth minimization; Bandwidth; Computer architecture; Detectors; Electrodes; Hardware; Neurons; Power dissipation; Signal processing; Signal processing algorithms; Sorting; autonomous; brain machine interface (BMI); neural signal processing; spike detection; spike sorting;
Conference_Titel :
Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-2072-8
Electronic_ISBN :
978-1-4244-2073-5
DOI :
10.1109/NER.2009.5109384
