Cargando…
A novel framework of MOPSO-GDM in recognition of Alzheimer's EEG-based functional network
BACKGROUND: Most patients with Alzheimer's disease (AD) have an insidious onset and frequently atypical clinical symptoms, which are considered a normal consequence of aging, making it difficult to diagnose AD medically. But then again, accurate diagnosis is critical to prevent degeneration and...
Autores principales: | Wang, Ruofan, Wang, Haodong, Shi, Lianshuan, Han, Chunxiao, He, Qiguang, Che, Yanqiu, Luo, Li |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339813/ https://www.ncbi.nlm.nih.gov/pubmed/37455939 http://dx.doi.org/10.3389/fnagi.2023.1160534 |
Ejemplares similares
-
A deep learning framework for identifying Alzheimer's disease using fMRI-based brain network
por: Wang, Ruofan, et al.
Publicado: (2023) -
Epileptic Seizure Detection Using Geometric Features Extracted from SODP Shape of EEG Signals and AsyLnCPSO-GA
por: Wang, Ruofan, et al.
Publicado: (2022) -
Learning implicit sentiments in Alzheimer's disease recognition with contextual attention features
por: Liu, Ning, et al.
Publicado: (2023) -
Diagnosis of Alzheimer’s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features
por: Zheng, Xiaowei, et al.
Publicado: (2023) -
TMS-EEG Biomarkers of Amnestic Mild Cognitive Impairment Due to Alzheimer’s Disease: A Proof-of-Concept Six Years Prospective Study
por: Ferreri, Florinda, et al.
Publicado: (2021)