Open Access Paper
29 June 2005 Intelligent implantable medical devices: the epilepsy problem (Keynote Paper)
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Proceedings Volume 5839, Bioengineered and Bioinspired Systems II; (2005) https://doi.org/10.1117/12.609226
Event: Microtechnologies for the New Millennium 2005, 2005, Sevilla, Spain
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, Christian Niederhofer, and Philipp Fischer "Intelligent implantable medical devices: the epilepsy problem (Keynote Paper)", Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); https://doi.org/10.1117/12.609226
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Cited by 6 scholarly publications.
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KEYWORDS
Electroencephalography

Electrodes

Signal detection

Detection and tracking algorithms

Brain

Epilepsy

Plasma display panels

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