Title :
Stability of the chronic multichannel recording neuron signals
Author :
Lin, W.S. ; Tillery, Stephen Helms ; He, Jiping
Author_Institution :
Harrington Dept. of Bioeng., Arizona State Univ., Tempe, AZ, USA
Abstract :
Chronic multi-channel neural recording recently has been applied to study dynamic brain function. Often these studies rely upon chronically implanted multi-electrode arrays, raising questions about the stability of the long-term neuronal recording. The objective of this paper is to investigate and track the recorded neural signal activity for over 3 years in the awake, behaving primate brain through analysis of unit waveforms and principle component analysis (PCA) of multi-units. For the time span from the beginning to the end of the recording session, the monkey was trained to do three different tasks. We show that some units are very stable within a session for over 3 years recording.
Keywords :
arrays; biomedical electrodes; brain; neurophysiology; principal component analysis; recording; stability; PCA; brain function; chronic multichannel recording neuron signals; multielectrode arrays; principle component analysis; recording stability; Background noise; Biomedical engineering; Electrodes; Helium; Neurons; Principal component analysis; Signal analysis; Stability analysis; Surgery; Wire;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1280177