Integrated space–frequency–time domain feature extraction for MEG-based Alzheimer’s disease classification

Magnetoencephalography (MEG) has been combined with machine learning techniques, to recognize the Alzheimer’s disease (AD), one of the most common forms of dementia. However, most of the previous studies are limited to binary classification and do not fully utilize the two available MEG modalities (...

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Detalles Bibliográficos
Autores principales: Yang, Su, Bornot, Jose Miguel Sanchez, Fernandez, Ricardo Bruña, Deravi, Farzin, Wong-Lin, KongFatt, Prasad, Girijesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560870/
https://www.ncbi.nlm.nih.gov/pubmed/34725742
http://dx.doi.org/10.1186/s40708-021-00145-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560870/
https://www.ncbi.nlm.nih.gov/pubmed/34725742
http://dx.doi.org/10.1186/s40708-021-00145-1

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