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Evidence record 15784 · automatically gathered

Exploratory Integration of EEG Spectral Features and Gaze Variability for Mild Cognitive Impairment Discrimination

Early detection of mild cognitive impairment (MCI) is an important challenge in aging societies. Electroencephalography (EEG) and eye-tracking have independently been explored as potential biomarkers; however, their integrative effects remain insufficiently examined. This exploratory study investigated whether combining EEG spectral features with gaze variability may provide complementary information for MCI discrimination. EEG signals were recorded using the 10--20 system, and spectral power fe

Record details

Published: 31 July 2026
Source: arXiv cs.HC
Category: Research
Topics: Bias & fairness · Privacy · Finance, VC & PE
Retrieved: 3 August 2026

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These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (31 July 2026), “Exploratory Integration of EEG Spectral Features and Gaze Variability for Mild Cognitive Impairment Discrimination,” evidence record 15784, https://ethics.ai/record/15784 (originally published by arXiv cs.HC).

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