Title :
Neural Recording Stability of Chronic Electrode Arrays in Freely Behaving Primates
Author :
Linderman, Michael D. ; Gilja, Vikash ; Santhanam, Gopal ; Afshar, Afsheen ; Ryu, Stephen ; Meng, Teresa H. ; Shenoy, Krishna V.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
Chronically implanted electrode arrays have enabled a broad range of advances, particularly in the field of neural prosthetics. Those successes motivate development of prototype implantable prosthetic processors for long duration, continuous use in freely behaving subjects. However, traditional experimental protocols have provided limited information regarding the stability of the electrode arrays and their neural recordings. In this paper we present preliminary results derived from long duration neural recordings in a freely behaving primate which show variations in action potential shape and RMS noise across a range of time scales. These preliminary results suggest that spike sorting algorithms can no longer assume stable neural signals and will need to transition to adaptive signal processing methodologies to maximize performance
Keywords :
adaptive signal processing; bioelectric phenomena; biomedical electrodes; neurophysiology; prosthetics; RMS noise; action potential; adaptive signal processing methodology; chronically implanted electrode arrays; electrode array stability; freely behaving primates; neural prosthetics; neural recording; neural recording stability; prototype implantable prosthetic processors; spike sorting algorithms; Electrodes; Neural prosthesis; Noise shaping; Prosthetics; Protocols; Prototypes; Shape; Signal processing algorithms; Sorting; Stability;
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.2006.260814