Energy-aware EEG-based Scheme for Early-age Autism Detection-Reference-Cited by-同舟云学术

Energy-aware EEG-based Scheme for Early-age Autism Detection

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)
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Author:

Alhassan Sarah¹,Soudani Adel²

Affiliation:

1. College of Computer and Information Sciences, King Saud University, Al Imam Muhammad Ibn Saud Islamic University,Computer Science Department,Riyadh,Saudi Arabia

2. College of Computer and Information Sciences, King Saud University,Computer Science Department,Riyadh,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9842388/9842335/09842396.pdf?arnumber=9842396

Reference43 articles.

1. Functional connectivity during language processing in 3‐month‐old infants at familial risk for autism spectrum disorder

2. Multivariate Neural Connectivity Patterns in Early Infancy Predict Later Autism Symptoms

3. Influence of Linear Features in Nonlinear Electroencephalography (EEG) Signals

4. EEG-based Processing and Classification Methodologies for Autism Spectrum Disorder: A Review

5. The Potential Application of Multiscale Entropy Analysis of Electroencephalography in Children with Neurological and Neuropsychiatric Disorders

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1. Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade;Information Fusion;2023-11

2. Energy-Efficient EEG-Based Scheme for Autism Spectrum Disorder Detection Using Wearable Sensors;Sensors;2023-02-16