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

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