Title: Computerised detection of autism spectrum disorder using EEG signals

Authors: Aarti Sharma

Addresses: Department of ECE, Inderprastha Engineering College, Site-IV, Ghaziabad, India

Abstract: Autism spectrum disorder (ASD) is one of the most common neurological disorders. Detection of ASD is based on behavioural analysis made by clinician by conducting interviews with the parents of the child. This paper presents computer aided diagnostic tool to detect autism disorder. This paper presents the detection of ASD based on biological markers. An early diagnosis is essential to confirm that the child have ASD. In this paper, power spectral density and phase locked values have been extracted from gamma band of EEG signals for autistic and normal subjects. Gamma band from EEG signals is extracted using band pass filter. Significant decrement in these features is observed for the autistic subjects in comparison to normal subjects. Above findings are statistically validated though ANOVA. Anomalies in EEG signals can be used as potential biomarker for detection of ASD.

Keywords: autism; electroencephalogram; EEG; gamma wave; computer aided diagnosis.

DOI: 10.1504/IJMEI.2024.135680

International Journal of Medical Engineering and Informatics, 2024 Vol.16 No.1, pp.47 - 55

Received: 08 Apr 2021
Accepted: 01 Nov 2021
Published online: 22 Dec 2023 *