Title :
Inferring the stability of LIFE through Brain Machine Interfaces
Author :
DiGiovanna, Jack ; Citi, Luca ; Yoshida, Ken ; Carpaneto, Jacopo ; Principe, Jose C. ; Sanchez, Justin C. ; Micera, Silvestro
Author_Institution :
Dept. of Biomedical Engineering, University of Florida, 106 BME Bldg. Gainesville, 32611 USA
Abstract :
We examine neural signals from Longitudinally implanted Intra-Fascicular Electrodes (LIFE) in a chronic, rabbit model. Translation-invariant wavelet de-noising methods are used to improve S%R. Then traditional template-based spike sorting is applied to discriminate single units. We investigate the effect of discriminating between identified units on Brain Machine Interface (BMI) decoding performance. We infer the stability of LIFE based on decoding performance with and without current BMI methods to counter-act electrode neural signal degradation.
Keywords :
Biomedical engineering; Decoding; Degradation; Electrodes; Neurons; Rabbits; Signal restoration; Sorting; Stability; Student members; Action Potentials; Algorithms; Animals; Electrodes, Implanted; Electrophysiology; Female; Models, Neurological; Muscle, Skeletal; Rabbits; Signal Processing, Computer-Assisted; User-Computer Interface;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649584
