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

fYear

2009

fDate

April 29 2009-May 2 2009

Firstpage

665

Lastpage

668

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/NER.2009.5109384

Filename

5109384