Title :
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
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;
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.2003.1280417
