29 June 2005 Intelligent implantable medical devices: the epilepsy problem (Keynote Paper)
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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.
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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

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