29 June 2005 Intelligent implantable medical devices: the epilepsy problem (Keynote Paper)
Author Affiliations +
Abstract
In this paper we present our work analysing electroencephalographic (EEG) signals for the detection of seizure precursors in epilepsy. Volterra-systems and Cellular Nonlinear Networks are considered for a multidimensional signal analysis which is called the feature extraction problem throughout this contribution. Recent results obtained by applying a pattern detection algorithm and a nonlinear prediction of brain electrical activity will be discussed in detail. The aim of this interdisciplinary project is the realization of an implantable seizure warning and preventing system.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ronald Tetzlaff, Ronald Tetzlaff, Christian Niederhofer, Christian Niederhofer, Philipp Fischer, Philipp Fischer, } "Intelligent implantable medical devices: the epilepsy problem (Keynote Paper)", Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); doi: 10.1117/12.609226; https://doi.org/10.1117/12.609226
PROCEEDINGS
17 PAGES


SHARE
Back to Top