Prediction of epileptic seizures by CNN with linear weight functions

Research output: Contribution to conferences › Paper › Contributed › peer-review

Contributors

  • R. Kunz - , IBM (Author)
  • C. Niederhöfer - , University Hospital Frankfurt (Author)
  • R. Tetzlaff - , University Hospital Frankfurt (Author)

Abstract

In this contribution, a novel approach for the prediction of epileptic seizures is introduced using binary input-output patterns and Boolean CNN with linear weight functions. Two different algorithms are introduced and verified on invasive recordings of different patients.

Details

Original languageEnglish
Pages259-266
Number of pages8
Publication statusPublished - 2002
Peer-reviewedYes
Externally publishedYes

Workshop

Title7th IEEE International Workshop on Cellular Neural Networks and their Applications
Abbreviated titleCNNA 2002
Conference number7
Duration22 - 24 July 2002
Degree of recognitionInternational event
CityFrankfurt am Main
CountryGermany

External IDs

ORCID /0000-0001-7436-0103/work/142240266

Keywords

ASJC Scopus subject areas

Keywords

  • Alarm systems, Brain, Cellular neural networks, Decoding, Disk recording, Electric variables measurement, Epilepsy, Frequency, Physics, Surgery