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International Conference on Applied Human Factors and Ergonomics

AHFE 2020: Advances in Neuroergonomics and Cognitive Engineering pp 76–82Cite as

Technological Innovation to Assess Cognitive Functions in Attention Deficit Hyperactivity Disorder

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1201))

Abstract

The development of a neuropsychological assessment procedure through a technological platform for children with ADHD. This platform is based on Python programming language, where stimuli have been inserted and, to which, children evaluated must respond freely (letters P), and others to which must inhibit his/her responses (letters R), using an adapted button box (greater attraction for children with ADHD). Variables of interest to the clinician are (a) number of responses to impulse control stimuli, (b) total time of execution of the task, (c) time in milliseconds from the moment when the stimulus is presented until getting a response from the child, and (d) total answers made. This study was applied in children with ADHD versus children without the disorder, finding that children with ADHD presented a mean error of M = 5.05 while children without ADHD M = 3.42.

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Author information

Authors and Affiliations

  1. Facultad de Psicología, Pontificia Universidad Católica del Ecuador, Av. 12 de Octubre y Roca, Quito, Ecuador

    Carlos Ramos-Galarza

  2. Centro de Investigación en Mecatrónica y Sistemas Interactivos MIST, Universidad Tecnológica Indoamérica. Av. Machala y Sabanilla, Quito, Ecuador

    Carlos Ramos-Galarza

  3. Eotvos Lórand University, Izabella Street 46, Budapest, Hungary

    Mónica Acosta-Rodas

  4. Universidad de Las Américas, Vía a Nayón, Quito, Ecuador

    Patricia Acosta-Vargas

  5. Universidad de Alicante, San Vicente del Raspeig, Alicante, Spain

    Luis Salvador-Ullauri

Authors
  1. Carlos Ramos-Galarza
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  2. Mónica Acosta-Rodas
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  3. Patricia Acosta-Vargas
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  4. Luis Salvador-Ullauri
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Corresponding author

Correspondence to Carlos Ramos-Galarza .

Editor information

Editors and Affiliations

  1. Drexel University, Philadelphia, PA, USA

    Hasan Ayaz

  2. National University of Sciences and Tech (NUST), School of Mech and Manufacturing Eng (SMME), Islamabad, Pakistan

    Umer Asgher

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Ramos-Galarza, C., Acosta-Rodas, M., Acosta-Vargas, P., Salvador-Ullauri, L. (2021). Technological Innovation to Assess Cognitive Functions in Attention Deficit Hyperactivity Disorder. In: Ayaz, H., Asgher, U. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1201. Springer, Cham. https://doi.org/10.1007/978-3-030-51041-1_11

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