Title :
Technology and Signal Processing for Brain-Machine Interfaces
Author :
Sanchez, J.C. ; Principe, Jose C. ; Nishida, Tsutomu ; Bashirullah, Rizwan ; Harris, J.G. ; Fortes, Jose A. B.
fDate :
6/30/1905 12:00:00 AM
Abstract :
Neural interfaces hold the promise to become one of the great technological advancements of the 21st century because they can provide new means of communication by directly accessing and interpreting brain intentional states. This article presents a set of grand challenges for brain-machine interfaces (BMI) and investigates recent advances in neurotechnology and signal processing methods to overcome them.
Keywords :
medical signal processing; neurophysiology; brain-machine interfaces; neural interface; neurotechnology; signal processing; Biomedical engineering; Biomedical signal processing; Control systems; Data mining; Decoding; Electronic equipment testing; Nervous system; Neurons; Neuroscience; Signal processing;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2008.4408440