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STEADYNet: spatiotemporal EEG analysis for dementia detection using convolutional neural network
Dementia is a neuro-degenerative disorder with a high death rate, mainly due to high
human error, time, and cost of the current clinical diagnostic techniques. The existing …
human error, time, and cost of the current clinical diagnostic techniques. The existing …
LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection
Alzheimer's disease (AD) is a progressive and incurable neurologi-cal disorder with a rising
mortality rate, worsened by error-prone, time-intensive, and expensive clinical diagnosis …
mortality rate, worsened by error-prone, time-intensive, and expensive clinical diagnosis …
EEG-based classification of Alzheimer's disease and frontotemporal dementia: a comprehensive analysis of discriminative features
Alzheimer's disease (AD) and frontotemporal dementia (FTD) are two main types of
dementia. These diseases have similar symptoms, and they both may be considered as AD …
dementia. These diseases have similar symptoms, and they both may be considered as AD …