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arXiv · 2311.09147

Physiological complexity of EEG as a proxy for dementia risk prediction: a review and preliminary cross-section analysis

Milena Čukić Radenković·Simon Annaheim·Patrick Eggenberger·René Michel Rossi
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Abstract

The aim of this work is to give the readers a review (perspective) of prior work on this kind of complexity-based detection from resting-state EEG and present our preliminary cross-section analysis results on how EEG complexity of supposedly healthy senior persons can serve as an early warning to clinicians. Together with the use of wearables for health, this approach to early detection can be done out of clinical setting improving the chances of increasing the quality of life in seniors.

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Milena Čukić Radenković, Simon Annaheim, Patrick Eggenberger, René Michel Rossi. 2023-11-15. Physiological complexity of EEG as a proxy for dementia risk prediction: a review and preliminary cross-section analysis. https://arxiv.org/abs/2311.09147

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