Towards Computer Aided Diagnosis of Autism Spectrum Disorder Using Virtual Environments

2020 ◽  
Author(s):  
Daniel Roth ◽  
Mathis Jording ◽  
Tobias Schmee ◽  
Peter Kullmann ◽  
Nassir Navab ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Virtual Environments ◽  
Autism Spectrum ◽  
Computer Aided Diagnosis ◽  
Spectrum Disorder ◽  
Computer Aided ◽  
Aided Diagnosis

scholarly journals EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Ridha Djemal ◽  
Khalil AlSharabi ◽  
Sutrisno Ibrahim ◽  
Abdullah Alsuwailem
Keyword(s):  
Autism Spectrum Disorder ◽  
Neurodevelopmental Disorder ◽  
Autism Spectrum ◽  
Computer Aided Diagnosis ◽  
Spectrum Disorder ◽  
Discrete Wavelet ◽  
Eeg Signal ◽  
Computer Aided ◽  
Artificial Neural Network Ann ◽  
Aided Diagnosis

Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder with core impairments in the social relationships, communication, imagination, or flexibility of thought and restricted repertoire of activity and interest. In this work, a new computer aided diagnosis (CAD) of autism ‎based on electroencephalography (EEG) signal analysis is investigated. The proposed method is based on discrete wavelet transform (DWT), entropy (En), and artificial neural network (ANN). DWT is used to decompose EEG signals into approximation and details coefficients to obtain EEG subbands. The feature vector is constructed by computing Shannon entropy values from each EEG subband. ANN classifies the corresponding EEG signal into normal or autistic based on the extracted features. The experimental results show the effectiveness of the proposed method for assisting autism diagnosis. A receiver operating characteristic (ROC) curve metric is used to quantify the performance of the proposed method. The proposed method obtained promising results tested using real dataset provided by King Abdulaziz Hospital, Jeddah, Saudi Arabia.

EEG-based computer-aided diagnosis of autism spectrum disorder

2022 ◽  
pp. 277-292
Author(s):  
A. Sivasangari ◽  
Kishore Sonti ◽  
Grace Prince Kanmani ◽  
Sindhu ◽  
D. Deepa
Keyword(s):  
Autism Spectrum Disorder ◽  
Autism Spectrum ◽  
Computer Aided Diagnosis ◽  
Spectrum Disorder ◽  
Computer Aided ◽  
Aided Diagnosis

A Viable Option?

2014 ◽  
pp. 143-162
Author(s):  
Julie E. N. Irish
Keyword(s):  
Autism Spectrum Disorder ◽  
Social Skills ◽  
Cost Effectiveness ◽  
Virtual Environments ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Viable Option ◽  
Children With Asd ◽  
Single User

This chapter considers whether a computer-aided technology, single-user virtual environments, can provide a viable option to teach social skills to children with Autism Spectrum Disorder (ASD). Viability is discussed in terms of key themes found in the literature: evidence-basis, generalizability, cost effectiveness, appropriateness for children with ASD, user experience, teacher’s contribution, and usefulness for caregivers. A matrix is developed to provide a viability rating for each theme. The chapter concludes that evidence-basis and generalizability for single-user virtual environments as an intervention to teach social skills to children with autism spectrum disorder is weak but that cost effectiveness, appropriateness to teenage children with ASD, positive experience of the user, and potential usefulness for caregivers is strong, whilst the teacher’s contribution is a mixed rating between ease of use for the teacher and the high one-on-one time commitment required.

scholarly journals Motor learning and transfer between real and virtual environments in young people with autism spectrum disorder: A prospective randomized cross over controlled trial

2019 ◽  
Vol 13 (2) ◽  
pp. 307-319
Author(s):  
Íbis Ariana Peña Moraes ◽  
Carlos Bandeira de Mello Monteiro ◽  
Talita Dias da Silva ◽  
Thais Massetti ◽  
Tânia Brusque Crocetta ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Young People ◽  
Motor Learning ◽  
Virtual Environments ◽  
Controlled Trial ◽  
Autism Spectrum ◽  
Spectrum Disorder

The Effects of a Computer-Aided Listening Comprehension Intervention on the Generalized Communication of Students With Autism Spectrum Disorder and Intellectual Disability

2019 ◽  
Vol 34 (4) ◽  
pp. 269-283
Author(s):  
Belva C. Collins ◽  
Diane M. Browder ◽  
Kathryn L. Haughney ◽  
Caryn Allison ◽  
Kathy Fallon
Keyword(s):  
Autism Spectrum Disorder ◽  
Intellectual Disability ◽  
Listening Comprehension ◽  
Functional Relation ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Dependent Variables ◽  
Computer Aided ◽  
Students With Autism ◽  
Comprehension Intervention

In this study, a computer-aided listening comprehension intervention package supported both listening comprehension and communication goals for three students with autism spectrum disorder (ASD) and intellectual disability (ID). The package consisted of systematic instruction (i.e., system of least prompts [SLP] procedure) to teach listening comprehension, an iPad-supported electronic communication book, and a peer support arrangement. The students with ASD and ID who participated in the study increased both listening comprehension and communication skills, while showing an increase in generalizing communication turns to interactions with their peers without disabilities. The researchers found a functional relation between the SLP procedure and both dependent variables. All three participants experienced concurrent growth between the dependent variables, implying a connection between text-based listening comprehension and communication outcomes. Further implications for academic instruction for students with ASD who use augmentative and alternative communication as well as for future inquiry concerning cross-modal generalization to social communication discourse are discussed.

scholarly journals Computer-Aided Screening of Autism Spectrum Disorder Using Eye-Tracking, Data Visualization and Deep Learning (Preprint)

10.2196/27706 ◽  
2021 ◽  
Author(s):  
Federica Cilia ◽  
Romuald Carette ◽  
Mahmoud Elbattah ◽  
Gilles Dequen ◽  
Jean-Luc Guérin ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Deep Learning ◽  
Eye Tracking ◽  
Data Visualization ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Tracking Data ◽  
Computer Aided

A Viable Option?

2016 ◽  
pp. 2006-2024
Author(s):  
Julie E. N. Irish
Keyword(s):  
Autism Spectrum Disorder ◽  
Social Skills ◽  
Cost Effectiveness ◽  
Virtual Environments ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Viable Option ◽  
Children With Asd ◽  
Single User

This chapter considers whether a computer-aided technology, single-user virtual environments, can provide a viable option to teach social skills to children with Autism Spectrum Disorder (ASD). Viability is discussed in terms of key themes found in the literature: evidence-basis, generalizability, cost effectiveness, appropriateness for children with ASD, user experience, teacher's contribution, and usefulness for caregivers. A matrix is developed to provide a viability rating for each theme. The chapter concludes that evidence-basis and generalizability for single-user virtual environments as an intervention to teach social skills to children with autism spectrum disorder is weak but that cost effectiveness, appropriateness to teenage children with ASD, positive experience of the user, and potential usefulness for caregivers is strong, whilst the teacher's contribution is a mixed rating between ease of use for the teacher and the high one-on-one time commitment required.

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