Early Detection of Alzheimer’s Disease From Cortical and Hippocampal Local Field Potentials Using an Ensembled Machine Learning Model

Early Detection of Alzheimer’s Disease From Cortical and Hippocampal Local Field Potentials Using an Ensembled Machine Learning Model

Early diagnosis of Alzheimer’s disease (AD) is a very challenging problem and has been attempted through data-driven methods in recent years. However, considering the inherent complexity in decoding higher cognitive functions from spontaneous neuronal signals, these data-driven methods be...

Full description

Bibliographic Details
Main Authors: Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, Alessandro Leparulo, Roberto Fontana, Stefano Vassanelli, Cristina Fasolato
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Deep learning
dementia
neuronal signals
neuronal network
multimodal
Online Access:https://ieeexplore.ieee.org/document/10159362/

Similar Items

Similar Items