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Fuzzy approach to saccades detection in optokinetic nystagmus

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

The electronystagmography (ENG) based analysis of the nystagmus provides valuable information about condition of the human vision system. The typical ENG signal corresponding to nystagmus has a form of a saw tooth waveform with slow and fast (saccade) components. The slow component is related to the stimulus while the saccade refers to a rapid reset of eye position. The accurate detection of saccadic eye movements is inevitable when determining the nystagmus characteristic. The paper presents saccades detection method that is based on fuzzy clustering. The proposed procedure is computationally efficient and allows for precise determination of the saccade position in the time domain.

Original languageEnglish
Title of host publicationMan-Machine Interactions 3
EditorsAleksandra Gruca, Tadeusz Czachórski, Stanisław Kozielski, Tadeusz Czachórski
PublisherSpringer Verlag
Pages231-238
Number of pages8
ISBN (Electronic)9783319023083
DOIs
Publication statusPublished - 2014
Event3rd International Conference on Man-Machine Interactions, ICMMI 2013 - Brenna, Poland
Duration: 22 Oct 2013 → 25 Oct 2013

Publication series

NameAdvances in Intelligent Systems and Computing
Volume242
ISSN (Print)2194-5357

Conference

Conference3rd International Conference on Man-Machine Interactions, ICMMI 2013
Country/TerritoryPoland
CityBrenna
Period22/10/13 → 25/10/13

Keywords

  • ENG signal
  • Fuzzy clustering
  • Optokinetic nystagmus

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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