Detection of Saccades and Postsaccadic Oscillations in the Presence of Smooth Pursuit

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Abstract

A novel algorithm for detection of saccades and postsaccadic oscillations in the presence of smooth pursuit movements is proposed. The method combines saccade detection in the acceleration domain with specialized on- and offset criteria for saccades and postsaccadic oscillations. The performance of the algorithm is evaluated by comparing the detection results to those of an existing velocity-based adaptive algorithm and a manually annotated database. The results show that there is a good agreement between the events detected by the proposed algorithm and those in the annotated database with Cohen’s kappa around 0.8 for both a development and a test database. In conclusion, the proposed algorithm accurately detects saccades and postsaccadic oscillations as well as intervals of disturbances.

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Subject classification (UKÄ) – MANDATORY

  • Human Aspects of ICT
Original languageEnglish
Pages (from-to)2484-2493
JournalIEEE Transactions on Biomedical Engineering
Volume60
Issue number9
Publication statusPublished - 2013
Publication categoryResearch
Peer-reviewedYes

Bibliographic note

The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Humanities Lab (015101200), Signal Processing (LUR000032), Department of Electroscience (011041000), Departments at LTH (011200000)