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Proceedings Paper

A new cellular nonlinear network emulation on FPGA for EEG signal processing in epilepsy
Author(s): Jens Müller; Jan Müller; Ronald Tetzlaff
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Paper Abstract

For processing of EEG signals, we propose a new architecture for the hardware emulation of discrete-time Cellular Nonlinear Networks (DT-CNN). Our results show the importance of a high computational accuracy in EEG signal prediction that cannot be achieved with existing analogue VLSI circuits. The refined architecture of the processing elements and its resource schedule, the cellular network structure with local couplings, the FPGA-based embedded system containing the DT-CNN, and the data flow in the entire system will be discussed in detail. The proposed DT-CNN design has been implemented and tested on an Xilinx FPGA development platform. The embedded co-processor with a multi-threading kernel is utilised for control and pre-processing tasks and data exchange to the host via Ethernet. The performance of the implemented DT-CNN has been determined for a popular example and compared to that of a conventional computer.

Paper Details

Date Published: 3 May 2011
PDF: 8 pages
Proc. SPIE 8068, Bioelectronics, Biomedical, and Bioinspired Systems V; and Nanotechnology V, 80680M (3 May 2011); doi: 10.1117/12.886766
Show Author Affiliations
Jens Müller, Dresden Univ. of Technology (Germany)
Jan Müller, Dresden Univ. of Technology (Germany)
Ronald Tetzlaff, Dresden Univ. of Technology (Germany)


Published in SPIE Proceedings Vol. 8068:
Bioelectronics, Biomedical, and Bioinspired Systems V; and Nanotechnology V
Ángel B. Rodríguez-Vázquez; Rainer Adelung, Editor(s)

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