Systematic review on resting‐state EEG for Alzheimer's disease diagnosis and progression assessment
Alzheimer's disease (AD) is a neurodegenerative disorder that accounts for nearly 70% of
the more than 46 million dementia cases estimated worldwide. Although there is no cure for …
the more than 46 million dementia cases estimated worldwide. Although there is no cure for …
A comparative review on sleep stage classification methods in patients and healthy individuals
Background and objective: Proper scoring of sleep stages can give clinical information on
diagnosing patients with sleep disorders. Since traditional visual scoring of the entire sleep …
diagnosing patients with sleep disorders. Since traditional visual scoring of the entire sleep …
Early prediction of chronic kidney disease using machine learning supported by predictive analytics
Chronic Kidney Disease is a serious lifelong condition that induced by either kidney
pathology or reduced kidney functions. Early prediction and proper treatments can possibly …
pathology or reduced kidney functions. Early prediction and proper treatments can possibly …
Hypersynchronization in mild cognitive impairment: the 'X'model
Hypersynchronization has been proposed as a synaptic dysfunction biomarker in the
Alzheimer's disease continuum, reflecting the alteration of the excitation/inhibition balance …
Alzheimer's disease continuum, reflecting the alteration of the excitation/inhibition balance …
On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey
Abstract Introduction The number of Alzheimer's Disease (AD) patients is increasing with
increased life expectancy and 115.4 million people are expected to be affected in 2050 …
increased life expectancy and 115.4 million people are expected to be affected in 2050 …
A review of artificial intelligence methods for Alzheimer's disease diagnosis: Insights from neuroimaging to sensor data analysis
Alzheimer's disease is the most common cause of dementia, gradually impairing memory,
intellectual, learning, and organizational capacities. An individual's capacity to perform …
intellectual, learning, and organizational capacities. An individual's capacity to perform …
Classification among healthy, mild cognitive impairment and Alzheimer's disease subjects based on wavelet entropy and relative beta and theta power
JE Santos Toural, A Montoya Pedrón… - Pattern Analysis and …, 2021 - Springer
Diagnosis of Alzheimer's disease (AD), mild cognitive impairment (MCI), and healthy
subjects (Healthy) is currently lacking an automated tool. It requires experience of …
subjects (Healthy) is currently lacking an automated tool. It requires experience of …
Deep learning algorithms in eeg signal decoding application: a review
In recent years, deep learning algorithms have been developed rapidly, and they are
becoming a powerful tool in biomedical engineering. Especially, there has been an …
becoming a powerful tool in biomedical engineering. Especially, there has been an …
[HTML][HTML] A novel optimal wavelet filter banks for automated diagnosis of Alzheimer's disease and mild cognitive impairment using Electroencephalogram signals
Electroencephalogram (EEG) of Alzheimer's disease (AD) patients show a slowing effect
and less synchronization. EEG signal's transient and abrupt nature is captured from various …
and less synchronization. EEG signal's transient and abrupt nature is captured from various …
Alzheimer's disease analysis algorithm based on no-threshold recurrence plot convolution network
X Li, T Zhou, S Qiu - Frontiers in Aging Neuroscience, 2022 - frontiersin.org
Alzheimer's disease is a neurological disorder characterized by progressive cognitive
dysfunction and behavioral impairment that occurs in old. Early diagnosis and treatment of …
dysfunction and behavioral impairment that occurs in old. Early diagnosis and treatment of …