Technological Innovation to Assess Cognitive Functions in Attention Deficit Hyperactivity Disorder

Carlos Ramos-Galarza; Mónica Acosta-Rodas; Patricia Acosta-Vargas; Luis Salvador-Ullauri

doi:10.1007/978-3-030-51041-1_11

Technological Innovation to Assess Cognitive Functions in Attention Deficit Hyperactivity Disorder

Carlos Ramos-Galarza, Mónica Acosta-Rodas, Patricia Acosta-Vargas, Luis Salvador-Ullauri

Facultad de Psicología

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Advances in Neuroergonomics and Cognitive Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cognitive Ergonomics and Engineering Psychology
Editores	Hasan Ayaz, Umer Asgher
Editorial	Springer
Páginas	76-82
Número de páginas	7
ISBN (versión impresa)	9783030510404
DOI	https://doi.org/10.1007/978-3-030-51041-1_11
Estado	Publicada - 2021
Evento	AHFE Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cognitive Ergonomics and Engineering Psychology, 2020 - San Diego, Estados Unidos Duración: 16 jul. 2020 → 20 jul. 2020

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1201 AISC
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conferencia

Conferencia	AHFE Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cognitive Ergonomics and Engineering Psychology, 2020
País/Territorio	Estados Unidos
Ciudad	San Diego
Período	16/07/20 → 20/07/20

Nota bibliográfica

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

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10.1007/978-3-030-51041-1_11

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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. En H. Ayaz, & U. Asgher (Eds.), Advances in Neuroergonomics and Cognitive Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cognitive Ergonomics and Engineering Psychology (pp. 76-82). (Advances in Intelligent Systems and Computing; Vol. 1201 AISC). Springer. https://doi.org/10.1007/978-3-030-51041-1_11

Ramos-Galarza, Carlos ; Acosta-Rodas, Mónica ; Acosta-Vargas, Patricia et al. / Technological Innovation to Assess Cognitive Functions in Attention Deficit Hyperactivity Disorder. Advances in Neuroergonomics and Cognitive Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cognitive Ergonomics and Engineering Psychology. editor / Hasan Ayaz ; Umer Asgher. Springer, 2021. pp. 76-82 (Advances in Intelligent Systems and Computing).

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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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Ramos-Galarza, C, Acosta-Rodas, M, Acosta-Vargas, P & Salvador-Ullauri, L 2021, Technological Innovation to Assess Cognitive Functions in Attention Deficit Hyperactivity Disorder. En H Ayaz & U Asgher (eds.), Advances in Neuroergonomics and Cognitive Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cognitive Ergonomics and Engineering Psychology. Advances in Intelligent Systems and Computing, vol. 1201 AISC, Springer, pp. 76-82, AHFE Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cognitive Ergonomics and Engineering Psychology, 2020, San Diego, Estados Unidos, 16/07/20. https://doi.org/10.1007/978-3-030-51041-1_11

Technological Innovation to Assess Cognitive Functions in Attention Deficit Hyperactivity Disorder. / Ramos-Galarza, Carlos; Acosta-Rodas, Mónica; Acosta-Vargas, Patricia et al.
Advances in Neuroergonomics and Cognitive Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cognitive Ergonomics and Engineering Psychology. ed. / Hasan Ayaz; Umer Asgher. Springer, 2021. p. 76-82 (Advances in Intelligent Systems and Computing; Vol. 1201 AISC).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Technological Innovation to Assess Cognitive Functions in Attention Deficit Hyperactivity Disorder

AU - Ramos-Galarza, Carlos

AU - Acosta-Rodas, Mónica

AU - Acosta-Vargas, Patricia

AU - Salvador-Ullauri, Luis

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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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Ramos-Galarza C, Acosta-Rodas M, Acosta-Vargas P, Salvador-Ullauri L. Technological Innovation to Assess Cognitive Functions in Attention Deficit Hyperactivity Disorder. En Ayaz H, Asgher U, editores, Advances in Neuroergonomics and Cognitive Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Neuroergonomics and Cognitive Engineering, and Industrial Cognitive Ergonomics and Engineering Psychology. Springer. 2021. p. 76-82. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51041-1_11

Technological Innovation to Assess Cognitive Functions in Attention Deficit Hyperactivity Disorder

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