Cited by 10Autism Spectrum Disorder ResearchEEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology

Using time domain and pearson’s correlation to predict attention focus in autistic spectrum disorder from EEG P300 components

Adama, V. Sophie, Schindler, Benjamin, Schmid, Thomas·2020·IFMBE Proceedings

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Crossref · 10.1007/978-3-030-31635-8_230

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1 of 1 references verified0 citation errors · 0 not checkable

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Authors
Adama, V. S., Schindler, B., & Schmid, T.
Affiliations
Leipzig University (DE)
Venue
IFMBE Proceedings
Published
2019-09-25
Pages
1890-1893
ISSN
  • 1433-9277 (ISSN-L)
  • 1680-0737
OpenAlex
W2975380511
Cited by
10
References
1
Citations by year
2025: 2 · 2023: 2 · 2022: 3 · 2021: 2 · 2020: 1
FWCI
2.59
Type
conference paper
Language
en
Open access
closed
Locations
World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
Keywords
autism spectrum disorder, P300, EEG, virtual reality, eye tracking, social attention, gaze direction, multilayer perceptron, time-domain features, supervised learning

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