Literature DB >> 1604857

An algorithm separating saccadic from nonsaccadic eye movements automatically by use of the acceleration signal.

F Behrens1, L R Weiss.   

Abstract

An algorithm is described to discriminate automatically between saccades and slow eye movements. Sampled data of the eye position have been used to calculate the momentary acceleration of the eye. The higher acceleration values of the saccadic eye movements as opposed to the slow compensatory or pursuit eye movements served to differentiate between the two. The method is demonstrated by search-coil data in squirrel monkeys.

Mesh:

Year:  1992        PMID: 1604857     DOI: 10.1016/0042-6989(92)90031-d

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  9 in total

1.  Automatic classification and robust identification of vestibulo-ocular reflex responses: from theory to practice: introducing GNL-HybELS.

Authors:  Atiyeh Ghoreyshi; Henrietta Galiana
Journal:  J Comput Neurosci       Date:  2011-01-20       Impact factor: 1.621

2.  Disentangling working memory processes during spatial span assessment: a modeling analysis of preferred eye movement strategies.

Authors:  Virginie M Patt; Michael L Thomas; Arpi Minassian; Mark A Geyer; Gregory G Brown; William Perry
Journal:  J Clin Exp Neuropsychol       Date:  2014-02-05       Impact factor: 2.475

3.  Vection is the main contributor to motion sickness induced by visual yaw rotation: Implications for conflict and eye movement theories.

Authors:  Suzanne A E Nooij; Paolo Pretto; Daniel Oberfeld; Heiko Hecht; Heinrich H Bülthoff
Journal:  PLoS One       Date:  2017-04-05       Impact factor: 3.240

4.  More vection means more velocity storage activity: a factor in visually induced motion sickness?

Authors:  Suzanne A E Nooij; Paolo Pretto; Heinrich H Bülthoff
Journal:  Exp Brain Res       Date:  2018-08-17       Impact factor: 1.972

5.  Topology for gaze analyses - Raw data segmentation.

Authors:  Oliver Hein; Wolfgang Zangemeister
Journal:  J Eye Mov Res       Date:  2017-03-13       Impact factor: 0.957

6.  Sampling rate influences saccade detection in mobile eye tracking of a reading task.

Authors:  Alexander Leube; Katharina Rifai; Katharina Rifai
Journal:  J Eye Mov Res       Date:  2017-06-07       Impact factor: 0.957

7.  Beyond sensory conflict: The role of beliefs and perception in motion sickness.

Authors:  Suzanne A E Nooij; Christopher J Bockisch; Heinrich H Bülthoff; Dominik Straumann
Journal:  PLoS One       Date:  2021-01-19       Impact factor: 3.240

8.  Oculomotor and Vestibular Findings in Gaucher Disease Type 3 and Their Correlation with Neurological Findings.

Authors:  Tatiana Bremova-Ertl; Raphael Schiffmann; Marc C Patterson; Nadia Belmatoug; Thierry Billette de Villemeur; Stanislavs Bardins; Claudia Frenzel; Věra Malinová; Silvia Naumann; Juliane Arndt; Eugen Mengel; Jörg Reinke; Ralf Strobl; Michael Strupp
Journal:  Front Neurol       Date:  2018-01-15       Impact factor: 4.003

9.  Quantitative Characterization of Smooth Pursuit Eye Movements in School-Age Children Using a Child-Friendly Setup.

Authors:  Valldeflors Vinuela-Navarro; Jonathan T Erichsen; Cathy Williams; J Margaret Woodhouse
Journal:  Transl Vis Sci Technol       Date:  2019-09-11       Impact factor: 3.283

  9 in total

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