Neural source localization using advanced sensor array signal processing techniques

Author

Oweiss, K.G. ; Anderson, D.J.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA

Volume

1

fYear

2001

fDate

2001

Firstpage

707

Abstract

This paper aims to describe a hybrid technique that combines the feasibility of our recently developed Multiresolution Analysis of Signal Subspace Invariance Technique (MASSIT) [K. Oweiss and D. Anderson, 2001] with the Finite Element Method (FEM) analytic model developed in [D. Anderson et al., 2001] to obtain an accurate localization scheme for neural sources in an extracellular recording environment. The power of the proposed method stems from the fact that robust array signal processing approach is fused with the FEM analysis yielding the closest scenario to practical experimental situations. Results from experimental signal and noise simulated composite are summarized and the overall performance is evaluated.

Keywords

array signal processing; bioelectric potentials; biological techniques; brain; brain models; cellular biophysics; finite element analysis; neurophysiology; probes; accurate localization scheme; advanced sensor array signal processing techniques; brain neural activity recording; finite element method analytic model; multichannel neural probes; multiresolution analysis of signal subspace invariance technique; neural source localization; practical experimental situations; Array signal processing; Biomedical signal processing; Discrete wavelet transforms; Extracellular; Information analysis; Sensor arrays; Signal analysis; Signal processing; Signal resolution; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1019038

Filename

1019038