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Related Experiment Video

Updated: Nov 25, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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EEG-Based Emotion Classification for Alzheimer's Disease Patients Using Conventional Machine Learning and Recurrent

Jungryul Seo1, Teemu H Laine2, Gyuhwan Oh2

  • 1Department of Computer Engineering, Ajou University, Suwon 16499, Korea.

Sensors (Basel, Switzerland)
|December 19, 2020
PubMed
Summary

Researchers developed a machine learning model to detect emotions in Alzheimer's disease (AD) patients using electroencephalography (EEG) data. The multilayer perceptron model achieved 70.97% accuracy, paving the way for emotion-adaptive virtual reality healthcare applications.

Failed At:

2026-06-19T13:38:50.637536+00:00

Keywords:
Alzheimer’s diseaseEEGclassificationdeep learningdementiaemotionmachine learningsensor

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