Diagnosis of autism spectrum disorder from EEG using a time–frequency spectrogram image‐based approach-Reference-Cited by-同舟云学术

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Diagnosis of autism spectrum disorder from EEG using a time–frequency spectrogram image‐based approach

Published:2020-10-08 Issue:25 Volume:56 Page:1372-1375
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Tawhid M.N.A.¹,Siuly S.¹,Wang H.¹

Affiliation:

1. Institute for Sustainable Industries and Liveable CitiesVictoria UniversityMelbourneAustralia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2020.2646

Reference23 articles.

1. https://www.who.int/news‐room/fact‐sheets/detail/autism‐spectrum‐disorders accessed August 2020

2. Global Prevalence of Autism and Other Pervasive Developmental Disorders

3. https://www.autismspectrum.org.au/news/autism‐prevalence‐rate‐up‐by‐an‐estimated‐40‐to‐1‐in‐70‐people‐11‐07‐2018 accessed August 2020

4. https://www.autismspeaks.org/autism‐statistics accessed August 2020

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1. Hybrid similarity based feature selection and cascade deep maxout fuzzy network for Autism Spectrum Disorder detection using EEG signal;Computational Biology and Chemistry;2024-12

2. KDTL: knowledge-distilled transfer learning framework for diagnosing mental disorders using EEG spectrograms;Neural Computing and Applications;2024-08-01

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4. A hybrid model for the classification of Autism Spectrum Disorder using Mu rhythm in EEG;Technology and Health Care;2024-07-15

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