Towards Classifying Cognitive Performance by Sensing Electrodermal Activity in Children With Specific Learning Disorders
Rico-Olarte C, López DM, Becker L, Eskofier B (2020)
Publication Language: English
Publication Type: Journal article, Original article
Publication year: 2020
Journal
Book Volume: 8
Pages Range: 196187-196196
URI: https://ieeexplore.ieee.org/document/9239296
DOI: 10.1109/ACCESS.2020.3033769
Open Access Link: https://ieeexplore.ieee.org/document/9239296
Abstract
When children suffer from cognitive disorders, school performance and social environment are affected. Measuring changes in cognitive progress is essential for assessing the clinical follow-up of the patient's cognitive abilities. This process is considered as a challenge in ambulatory settings, where follow-ups should be non-invasive and continuous. Psychophysiological measures are an objective and unobtrusive evaluation alternative for recognizing cognitive changes. This paper aims to validate the relationship between cognition and the changes in physiological signals of children suffering from Specic Learning Disorders (SLD). This validation was carried out in an eHealth rehabilitation context (with the HapHop-Physio game). Electrodermal activity (EDA) signals were collected, processed, and analyzed through a machine learning approach. Obtained results were: a dataset built from wearable physiological data and a supervised classication model. The classication model can identify the children's cognitive performance (class) from the features of the tonic component of the EDA signal (attributes) with an accuracy of 79.95%. The presented results evidence that psychophysiological measures could allow for a highly objective follow-up for patients. They can also lead to creating a basis for further improvement of rehabilitation environments and developing neurofeedback applications.
Authors with CRIS profile
Linda Becker
Lehrstuhl für Gesundheitspsychologie
Björn Eskofier
Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)
Additional Organisation(s)
Involved external institutions
Colombia (CO)How to cite
APA:
Rico-Olarte, C., López, D.M., Becker, L., & Eskofier, B. (2020). Towards Classifying Cognitive Performance by Sensing Electrodermal Activity in Children With Specific Learning Disorders. IEEE Access, 8, 196187-196196. https://doi.org/10.1109/ACCESS.2020.3033769
MLA:
Rico-Olarte, Carolina, et al. "Towards Classifying Cognitive Performance by Sensing Electrodermal Activity in Children With Specific Learning Disorders." IEEE Access 8 (2020): 196187-196196.
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