Investigation of Physiological Features by Age Groups in Children with Autism

Elif Toprak, Sevgi Nur Bilgin Aktas, Buket Coskun, Pinar Uluer, Hatice Kose, Duygun Erol Barkana

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

This paper presents the computerized analysis of physiological signals collected from children with autism from different age groups in 4 different countries during a child-robot interaction project. While the child interacts with the KASPAR humanoid robot, physiological signals (blood volume pulse (BVP), skin conductance (EDA), and temperature (ST)) were recorded using an Empatica E4 wristband to explore the emotions or stress of children in future studies. In this study, parametric statistical tests and feature selection methods have been used to investigate whether there are significant differences between age groups. The statistical tests revealed that there are specific subsets of features derived from BVP, EDA, and ST signals causing a significant difference between the signals of children from different age groups. Additionally, the feature selection study showed the set of most distinctive features for each age group.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE 36th International Symposium on Computer-Based Medical Systems, CBMS 2023
EditorsRosa Sicilia, Bridget Kane, Joao Rafael Almeida, Myra Spiliopoulou, Jose Alberto Benitez Andrades, Giuseppe Placidi, Alejandro Rodriguez Gonzalez
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages287-292
Number of pages6
ISBN (Electronic)9798350312249
DOIs
Publication statusPublished - 2023
Event36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023 - L�Aquila, Italy
Duration: 22 Jun 202324 Jun 2023

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
Volume2023-June
ISSN (Print)1063-7125

Conference

Conference36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023
Country/TerritoryItaly
CityL�Aquila
Period22/06/2324/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • children with autism
  • feature extraction
  • feature selection
  • physiological signals

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