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AI in EEG-Based BCI for the Diagnosis of Mild Cognitive Impairment: A Mini Review
Vasilii Zaitsev
,
Chun Shu Wei
電機資訊國際碩士學位學程
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Keyphrases
Electroencephalography
100%
Mini
100%
Mild Cognitive Impairment
100%
Deep Learning Model
40%
Dementia
20%
Machine Learning Learning
20%
Deep Machine Learning
20%
Cognitive Decline
20%
Clinical Application
20%
Transformer
20%
Spatial Data
20%
Support Vector Machine
20%
Electroencephalography Data
20%
K-nearest
20%
Brain Activity
20%
Early Diagnosis
20%
Cost-effective Tool
20%
Machine Learning Approach
20%
Recent Advancements
20%
Learned Features
20%
Small Dataset
20%
Traditional Machine Learning
20%
Convolutional Long Short-term Memory (ConvLSTM)
20%
Dataset Size
20%
Long Short-term Memory Network
20%
Biochemistry, Genetics and Molecular Biology
Support Vector Machine
100%
K Nearest Neighbor
100%
Electroencephalogram
100%
Short Term Memory
100%
Artificial Intelligence
100%
Psychology
Mild Cognitive Impairment
100%
Artificial Intelligence
100%
Learning Model
40%
Memory Network
20%
Cognitive Decline
20%
Short-Term Memory
20%
Electroencephalogram
20%
Neural Network
20%
Neuroscience
Mild Cognitive Impairment
100%
Brain-Computer Interface
100%
Neural Network
20%
Support Vector Machine
20%
Face
20%
Short-Term Memory
20%
Electroencephalogram
20%
Computer Science
Electroencephalogram
50%