Segmentation of extracellular microelectrode recordings with equal power

Author

Falkenberg, J.H. ; McNames, J. ; Aboy, M. ; Burchiel, K.J.

Author_Institution

Neurosurg., Oregon Health & Sci. Univ., USA

Volume

3

fYear

2003

fDate

17-21 Sept. 2003

Firstpage

2475

Abstract

We describe a segmentation algorithm for extracellular microelectrode recordings identifying segments with equal power. The observed temporal correlation of the microelectrode data was accounted for by estimating the variance of the autocovariance of the segments. The iterative method of comparing segments and determining abrupt changes in the power was validated on synthetic signals and microelectrode recording data acquired at different neuronal structures along the stereotactic trajectory in patients with Parkinson disease.

Keywords

biomedical electrodes; biomedical measurement; diseases; iterative methods; medical signal processing; microelectrodes; Parkinson disease patients; autocovariance; equal power; extracellular microelectrode recordings segmentation; iterative method; microelectrode data; neuronal structures; segmentation algorithm; stereotactic trajectory; temporal correlation; Extracellular; Image resolution; Magnetic resonance imaging; Microelectrodes; Neurosurgery; Parkinson´s disease; Signal analysis; Signal processing algorithms; Surgery; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7789-3

Type

conf

DOI

10.1109/IEMBS.2003.1280417

Filename

1280417