Graph based novel features for detection of Alzheimer’s disease using EEG signals

• Published in: Biomedical signal processing and control Vol. 103; p. 107380
• Main Authors: Sharma, Ramnivas, Meena, Hemant Kumar
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.05.2025
• Subjects: Alzheimer’s disease (AD); Convolutional neural network (CNN); EEG signals; Feature extractions; Graph Fourier transform; Graph wavelet transform; Machine learning models; Graph Fourier transform; Graph wavelet transform; Alzheimer’s disease (AD); EEG signals; Convolutional neural network (CNN); Machine learning models; Feature extractions

Alzheimer’s disease (AD) is a progressive neurodegenerative condition of the brain, leading to neuronal death and dementia. Its global prevalence is on the rise, prompting extensive research into automated detection methods using brain signals. This research integrates graph-based features with trad...