Integration of Facial Thermography in EEG-based Classification of ASD

doi:10.1007/s11633-020-1231-6

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	Integration of Facial Thermography in EEG-based Classification of ASD
	Dilantha Haputhanthri 1; Gunavaran Brihadiswaran 1; Sahan Gunathilaka 1; Dulani Meedeniya 1; Sampath Jayarathna 2; Mark Jaime 3; Christopher Harshaw 4
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2020
卷号	17 期号:6 页码:837-854
摘要	Autism spectrum disorder (ASD) is a neurodevelopmental disorder affecting social, communicative, and repetitive behavior. The phenotypic heterogeneity of ASD makes timely and accurate diagnosis challenging, requiring highly trained clinical practitioners. The development of automated approaches to ASD classification, based on integrated psychophysiological measures, may one day help expedite the diagnostic process. This paper provides a novel contribution for classifing ASD using both thermographic and EEG data. The methodology used in this study extracts a variety of feature sets and evaluates the possibility of using several learning models. Mean, standard deviation, and entropy values of the EEG signals and mean temperature values of regions of interest (ROIs) in facial thermographic images were extracted as features. Feature selection is performed to filter less informative features based on correlation. The classification process utilizes Naïve Bayes, random forest, logistic regression, and multi-layer perceptron algorithms. The integration of EEG and thermographic features have achieved an accuracy of 94% with both logistic regression and multi-layer perceptron classifiers. The results have shown that the classification accuracies of most of the learning models have increased after integrating facial thermographic data with EEG.
关键词	Autism spectrum disorder facial thermography EEG signal processing machine learning decision support system ASDGenus.
DOI	10.1007/s11633-020-1231-6
引用统计	被引频次：20[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42384
专题	学术期刊_Machine Intelligence Research
作者单位	1.Department of Computer Science and Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka 2.Department of Computer Science, Old Dominion University, Norfolk 23529, USA 3.Division of Science, Indiana University-Purdue University, Indianapolis 47203, USA 4.Department of Psychology, University of New Orleans, New Orleans 70148, USA
推荐引用方式 GB/T 7714	Dilantha Haputhanthri,Gunavaran Brihadiswaran,Sahan Gunathilaka,et al. Integration of Facial Thermography in EEG-based Classification of ASD[J]. International Journal of Automation and Computing,2020,17(6):837-854.
APA	Dilantha Haputhanthri.,Gunavaran Brihadiswaran.,Sahan Gunathilaka.,Dulani Meedeniya.,Sampath Jayarathna.,...&Christopher Harshaw.(2020).Integration of Facial Thermography in EEG-based Classification of ASD.International Journal of Automation and Computing,17(6),837-854.
MLA	Dilantha Haputhanthri,et al."Integration of Facial Thermography in EEG-based Classification of ASD".International Journal of Automation and Computing 17.6(2020):837-854.

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