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Detection of saccadic eye movements using a non-recursive adaptive digital filter

Juhola, M ; Jäntti, V ; Pyykkö, I. ; Magnusson, M LU orcid ; Schalén, L LU and Akesson, M (1985) In Computer Methods and Programs in Biomedicine 21(2). p.8-81
Abstract

Saccadic eye movements provide important information about the neuron system at several levels. In recent years computer analysis of saccades has been adapted for use in clinical work. The most common detection methods do not always function without the user's control and aid. In the present paper a digital filter is described for the detection of saccades. This non-recursive filter unscrambles saccade data which has been collected during the execution of an algorithm. The method is suitable for use with microcomputers. The filter is adaptive. Two concise experiments using the method are described.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Biometry, Computers, Eye Movements, Humans, Microcomputers, Saccades, Journal Article
in
Computer Methods and Programs in Biomedicine
volume
21
issue
2
pages
8 pages
publisher
Elsevier
external identifiers
  • pmid:3853489
  • scopus:0022161467
ISSN
0169-2607
language
English
LU publication?
yes
id
8bd3ef85-12ae-4aa0-92b7-c80188086651
date added to LUP
2017-05-03 13:07:28
date last changed
2024-01-13 20:04:44
@article{8bd3ef85-12ae-4aa0-92b7-c80188086651,
  abstract     = {{<p>Saccadic eye movements provide important information about the neuron system at several levels. In recent years computer analysis of saccades has been adapted for use in clinical work. The most common detection methods do not always function without the user's control and aid. In the present paper a digital filter is described for the detection of saccades. This non-recursive filter unscrambles saccade data which has been collected during the execution of an algorithm. The method is suitable for use with microcomputers. The filter is adaptive. Two concise experiments using the method are described.</p>}},
  author       = {{Juhola, M and Jäntti, V and Pyykkö, I. and Magnusson, M and Schalén, L and Akesson, M}},
  issn         = {{0169-2607}},
  keywords     = {{Biometry; Computers; Eye Movements; Humans; Microcomputers; Saccades; Journal Article}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{8--81}},
  publisher    = {{Elsevier}},
  series       = {{Computer Methods and Programs in Biomedicine}},
  title        = {{Detection of saccadic eye movements using a non-recursive adaptive digital filter}},
  volume       = {{21}},
  year         = {{1985}},
}