Cargando…
Discriminant Subspace Low-Rank Representation Algorithm for Electroencephalography-Based Alzheimer’s Disease Recognition
Alzheimer’s disease (AD) is a chronic progressive neurodegenerative disease that often occurs in the elderly. Electroencephalography (EEG) signals have a strong correlation with neuropsychological test results and brain structural changes. It has become an effective aid in the early diagnosis of AD...
Autores principales: | Tang, Tusheng, Li, Hui, Zhou, Guohua, Gu, Xiaoqing, Xue, Jing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263439/ https://www.ncbi.nlm.nih.gov/pubmed/35813948 http://dx.doi.org/10.3389/fnagi.2022.943436 |
Ejemplares similares
-
Subspace structural constraint-based discriminative feature learning via nonnegative low rank representation
por: Li, Ao, et al.
Publicado: (2019) -
Identifying Subspace Gene Clusters from Microarray Data Using Low-Rank Representation
por: Cui, Yan, et al.
Publicado: (2013) -
Generalized gene co-expression analysis via subspace clustering using low-rank representation
por: Wang, Tongxin, et al.
Publicado: (2019) -
Research of Low-Rank Representation and Discriminant Correlation Analysis for Alzheimer's Disease Diagnosis
por: Li, Zhigang, et al.
Publicado: (2020) -
Subspace-constrained approaches to low-rank fMRI acceleration
por: Mason, Harry T., et al.
Publicado: (2021)