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

doi:10.1109/CBMS58004.2023.00232

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

Yapay Zeka ve Veri Mühendisliği Bölümü

Yeditepe University
Istanbul Technical University
Galatasaray University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

4 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Proceedings - 2023 IEEE 36th International Symposium on Computer-Based Medical Systems, CBMS 2023
Editörler	Rosa Sicilia, Bridget Kane, Joao Rafael Almeida, Myra Spiliopoulou, Jose Alberto Benitez Andrades, Giuseppe Placidi, Alejandro Rodriguez Gonzalez
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	287-292
Sayfa sayısı	6
ISBN (Elektronik)	9798350312249
DOI'lar	https://doi.org/10.1109/CBMS58004.2023.00232
Yayın durumu	Yayınlandı - 2023
Etkinlik	36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023 - L�Aquila, Italy Süre: 22 Haz 2023 → 24 Haz 2023

Yayın serisi

Adı	Proceedings - IEEE Symposium on Computer-Based Medical Systems
Hacim	2023-June
ISSN (Basılı)	1063-7125

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023
Ülke/Bölge	Italy
Şehir	L�Aquila
Periyot	22/06/23 → 24/06/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Belgeye Erişim

10.1109/CBMS58004.2023.00232

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Toprak, E., Bilgin Aktas, S. N., Coskun, B., Uluer, P., Kose, H., & Barkana, D. E. (2023). Investigation of Physiological Features by Age Groups in Children with Autism. In R. Sicilia, B. Kane, J. R. Almeida, M. Spiliopoulou, J. A. B. Andrades, G. Placidi, & A. R. Gonzalez (Eds.), Proceedings - 2023 IEEE 36th International Symposium on Computer-Based Medical Systems, CBMS 2023 (pp. 287-292). (Proceedings - IEEE Symposium on Computer-Based Medical Systems; Hac. 2023-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBMS58004.2023.00232

Toprak, Elif ; Bilgin Aktas, Sevgi Nur ; Coskun, Buket et al. / Investigation of Physiological Features by Age Groups in Children with Autism. Proceedings - 2023 IEEE 36th International Symposium on Computer-Based Medical Systems, CBMS 2023. editör / Rosa Sicilia ; Bridget Kane ; Joao Rafael Almeida ; Myra Spiliopoulou ; Jose Alberto Benitez Andrades ; Giuseppe Placidi ; Alejandro Rodriguez Gonzalez. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 287-292 (Proceedings - IEEE Symposium on Computer-Based Medical Systems).

@inproceedings{db644ab2d58147feaaffc4cc5928b9de,

title = "Investigation of Physiological Features by Age Groups in Children with Autism",

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.",

keywords = "children with autism, feature extraction, feature selection, physiological signals",

author = "Elif Toprak and \{Bilgin Aktas\}, \{Sevgi Nur\} and Buket Coskun and Pinar Uluer and Hatice Kose and Barkana, \{Duygun Erol\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023 ; Conference date: 22-06-2023 Through 24-06-2023",

year = "2023",

doi = "10.1109/CBMS58004.2023.00232",

language = "English",

series = "Proceedings - IEEE Symposium on Computer-Based Medical Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "287--292",

editor = "Rosa Sicilia and Bridget Kane and Almeida, \{Joao Rafael\} and Myra Spiliopoulou and Andrades, \{Jose Alberto Benitez\} and Giuseppe Placidi and Gonzalez, \{Alejandro Rodriguez\}",

booktitle = "Proceedings - 2023 IEEE 36th International Symposium on Computer-Based Medical Systems, CBMS 2023",

address = "United States",

}

Toprak, E, Bilgin Aktas, SN, Coskun, B, Uluer, P, Kose, H & Barkana, DE 2023, Investigation of Physiological Features by Age Groups in Children with Autism. in R Sicilia, B Kane, JR Almeida, M Spiliopoulou, JAB Andrades, G Placidi & AR Gonzalez (eds), Proceedings - 2023 IEEE 36th International Symposium on Computer-Based Medical Systems, CBMS 2023. Proceedings - IEEE Symposium on Computer-Based Medical Systems, hac. 2023-June, Institute of Electrical and Electronics Engineers Inc., pp. 287-292, 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, L�Aquila, Italy, 22/06/23. https://doi.org/10.1109/CBMS58004.2023.00232

Investigation of Physiological Features by Age Groups in Children with Autism. / Toprak, Elif; Bilgin Aktas, Sevgi Nur; Coskun, Buket et al.
Proceedings - 2023 IEEE 36th International Symposium on Computer-Based Medical Systems, CBMS 2023. ed. / Rosa Sicilia; Bridget Kane; Joao Rafael Almeida; Myra Spiliopoulou; Jose Alberto Benitez Andrades; Giuseppe Placidi; Alejandro Rodriguez Gonzalez. Institute of Electrical and Electronics Engineers Inc., 2023. p. 287-292 (Proceedings - IEEE Symposium on Computer-Based Medical Systems; Hac. 2023-June).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Investigation of Physiological Features by Age Groups in Children with Autism

AU - Toprak, Elif

AU - Bilgin Aktas, Sevgi Nur

AU - Coskun, Buket

AU - Uluer, Pinar

AU - Kose, Hatice

AU - Barkana, Duygun Erol

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - children with autism

KW - feature extraction

KW - feature selection

KW - physiological signals

UR - https://www.scopus.com/pages/publications/85166484705

U2 - 10.1109/CBMS58004.2023.00232

DO - 10.1109/CBMS58004.2023.00232

M3 - Conference contribution

AN - SCOPUS:85166484705

T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems

SP - 287

EP - 292

BT - Proceedings - 2023 IEEE 36th International Symposium on Computer-Based Medical Systems, CBMS 2023

A2 - Sicilia, Rosa

A2 - Kane, Bridget

A2 - Almeida, Joao Rafael

A2 - Spiliopoulou, Myra

A2 - Andrades, Jose Alberto Benitez

A2 - Placidi, Giuseppe

A2 - Gonzalez, Alejandro Rodriguez

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023

Y2 - 22 June 2023 through 24 June 2023

ER -

Toprak E, Bilgin Aktas SN, Coskun B, Uluer P, Kose H, Barkana DE. Investigation of Physiological Features by Age Groups in Children with Autism. In Sicilia R, Kane B, Almeida JR, Spiliopoulou M, Andrades JAB, Placidi G, Gonzalez AR, editörler, Proceedings - 2023 IEEE 36th International Symposium on Computer-Based Medical Systems, CBMS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 287-292. (Proceedings - IEEE Symposium on Computer-Based Medical Systems). doi: 10.1109/CBMS58004.2023.00232

Investigation of Physiological Features by Age Groups in Children with Autism

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