Advances in Sleep EEG Signaling in Alzheimer's Disease Prediction

Yulin Jiang

2025

Abstract

With the acceleration of global aging, Alzheimer's Disease (AD) has emerged as a grave public health issue. At present, the commonly employed diagnostic methods have certain drawbacks. In contrast, sleep electroencephalography (EEG) signals have garnered significant attention in the area of AD prediction, mainly because of their non - invasive nature, repeatability, and low cost. In this paper, we review the research progress of sleep EEG signals in AD prediction, elaborate the pathological mechanisms of AD, compare the advantages and disadvantages of traditional detection methods, and analyze the current status and development of sleep stage classification system technology is ongoing. When concentrating on the connection between non - rapid eye movement (NREM) sleep stages and AD, it has been discovered that in AD patients, the σactivity shows a decline and the EEG undergoes a slowdown during NREM sleep, and that σ power during NREM sleep is positively correlated with cognitive ability, which may be used as a reference standard for AD detection. Future research efforts should be dedicated to optimizing the algorithm in order to enhance the precision of sleep stage classification, integrate multimodal data to explore the relationship between sleep and AD, and carry out a large-scale longitudinal study to validate the sleep EEG indexes, so as to promote the development of early warning and precise intervention for AD.

Paper Citation

in Harvard Style

Jiang Y. (2025). Advances in Sleep EEG Signaling in Alzheimer's Disease Prediction. In Proceedings of the 1st International Conference on Biomedical Engineering and Food Science - Volume 1: BEFS; ISBN 978-989-758-789-4, SciTePress, pages 39-45. DOI: 10.5220/0014386400004933

in Bibtex Style

@conference{befs25,
author={Yulin Jiang},
title={Advances in Sleep EEG Signaling in Alzheimer's Disease Prediction},
booktitle={Proceedings of the 1st International Conference on Biomedical Engineering and Food Science - Volume 1: BEFS},
year={2025},
pages={39-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014386400004933},
isbn={978-989-758-789-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Biomedical Engineering and Food Science - Volume 1: BEFS
TI - Advances in Sleep EEG Signaling in Alzheimer's Disease Prediction
SN - 978-989-758-789-4
AU - Jiang Y.
PY - 2025
SP - 39
EP - 45
DO - 10.5220/0014386400004933
PB - SciTePress