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

Full text for this resource is not available from the Research Repository.

Tawhid, MNA, Siuly, Siuly ORCID: 0000-0003-2491-0546 and Wang, Hua ORCID: 0000-0002-8465-0996 (2020) Diagnosis of autism spectrum disorder from EEG using a time-frequency spectrogram image-based approach. Electronics Letters, 56 (25). pp. 1372-1375. ISSN 0013-5194

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/42985
DOI https://doi.org/10.1049/el.2020.2646
Official URL https://ietresearch.onlinelibrary.wiley.com/doi/10...
Subjects Current > FOR (2020) Classification > 4008 Electrical engineering
Current > FOR (2020) Classification > 4601 Applied computing
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords neurodevelopment disorder; electroencephalography; autism biomarkers; autism diagnostic system; decision support tool; tCENTRIST; support vector machine classifier
Citations in Scopus 9 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login