Cargando…
Identifying Amnestic Mild Cognitive Impairment With Convolutional Neural Network Adapted to the Spectral Entropy Heat Map of the Electroencephalogram
Mild cognitive impairment (MCI) is a preclinical stage of Alzheimer’s disease (AD), and early diagnosis and intervention may delay its deterioration. However, the electroencephalogram (EEG) differences between patients with amnestic mild cognitive impairment (aMCI) and healthy controls (HC) subjects...
Autores principales: | Li, Xin, Liu, Yi, Kang, Jiannan, Sun, Yu, Xu, Yonghong, Yuan, Yi, Han, Ying, Xie, Ping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9298556/ https://www.ncbi.nlm.nih.gov/pubmed/35874151 http://dx.doi.org/10.3389/fnhum.2022.924222 |
Ejemplares similares
-
Automatic Diagnosis of Mild Cognitive Impairment Using Electroencephalogram Spectral Features
por: Kashefpoor, Masoud, et al.
Publicado: (2016) -
Functional Neural Correlates of Attentional Deficits in Amnestic Mild Cognitive Impairment
por: Van Dam, Nicholas T., et al.
Publicado: (2013) -
Card-placing test in amnestic mild cognitive impairment and its neural correlates
por: Lee, Seong-Joon, et al.
Publicado: (2014) -
Autonomic function in amnestic and non-amnestic mild cognitive impairment: spectral heart rate variability analysis provides evidence for a brain–heart axis
por: Nicolini, Paola, et al.
Publicado: (2020) -
Miner Fatigue Detection from Electroencephalogram-Based Relative Power Spectral Topography Using Convolutional Neural Network
por: Xu, Lili, et al.
Publicado: (2023)