A tale of single-channel electroencephalogram: Devices, datasets, signal processing, applications, and future directions
Y Li, W Zeng, W Dong, D Han, L Chen, H Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Single-channel electroencephalogram (EEG) is a cost-effective, comfortable, and non-
invasive method for monitoring brain activity, widely adopted by researchers, consumers …
invasive method for monitoring brain activity, widely adopted by researchers, consumers …
FGI-CogViT: Fuzzy Granule-based Interpretable Cognitive Vision Transformer for Early Detection of Alzheimer's Disease using MRI Scan Images
Early detection of Alzheimer's disease (AD) is crucial for timely intervention and
management of this debilitating neurodegenerative disorder. However, it demands further …
management of this debilitating neurodegenerative disorder. However, it demands further …
LEADNet: Detection of Alzheimer's Disease using Spatiotemporal EEG Analysis and Low-Complexity CNN
Clinical methods for dementia detection are expensive and prone to human errors. Despite
various computer-aided methods using electroencephalography (EEG) signals and artificial …
various computer-aided methods using electroencephalography (EEG) signals and artificial …
Refined time-shift multiscale slope entropy: a new nonlinear dynamic analysis tool for rotating machinery fault feature extraction
J Zheng, J Wang, H Pan, J Tong, Q Liu - Nonlinear Dynamics, 2024 - Springer
Slope entropy (SlE) is an effective nonlinear dynamic analysis method, which has been
used in mechanical fault diagnosis field. However, SlE only analyzes the time series on a …
used in mechanical fault diagnosis field. However, SlE only analyzes the time series on a …
A Novel Metric for Alzheimer's Disease Detection Based on Brain Complexity Analysis via Multiscale Fuzzy Entropy
A Cataldo, S Criscuolo, E De Benedetto, A Masciullo… - Bioengineering, 2024 - mdpi.com
Alzheimer's disease (AD) is a neurodegenerative brain disorder that affects cognitive
functioning and memory. Current diagnostic tools, including neuroimaging techniques and …
functioning and memory. Current diagnostic tools, including neuroimaging techniques and …
Entropy and Coherence Features in EEG-Based Classification for Alzheimer's Disease Detection
S Criscuolo, A Cataldo, E De Benedetto… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a progressive neurode-generative condition that impacts
cognitive functions and the overall quality of life of millions of individuals worldwide. Early …
cognitive functions and the overall quality of life of millions of individuals worldwide. Early …
Correlation between Brain Activity and Comfort at Different Illuminances Based on Electroencephalogram Signals during Reading
C Liu, N Zhang, Z Wang, X Pan, Y Ren, W Gao - Building and Environment, 2024 - Elsevier
The impact of light comfort on user health and productivity is profound, and brain activity
serves as a sensitive indicator of how light environments influence individuals. This study …
serves as a sensitive indicator of how light environments influence individuals. This study …
Automatic detection of Alzheimer's disease from EEG signals using an improved AFS–GA hybrid algorithm
R Wang, Q He, L Shi, Y Che, H Xu, C Song - Cognitive Neurodynamics, 2024 - Springer
Alzheimer's Disease (AD) is a neurodegenerative disorder characterized by energy diffusion
and partial disconnection in the brain, with its main feature being an insidious onset and …
and partial disconnection in the brain, with its main feature being an insidious onset and …
[HTML][HTML] Improving Multiscale Fuzzy Entropy Robustness in EEG-Based Alzheimer's Disease Detection via Amplitude Transformation
This study investigates the effectiveness of amplitude transformation in enhancing the
performance and robustness of Multiscale Fuzzy Entropy for Alzheimer's disease detection …
performance and robustness of Multiscale Fuzzy Entropy for Alzheimer's disease detection …