The content delves into the utilization of low-cost EEG devices for stress monitoring through a systematic literature review. It discusses the current state, challenges, and future directions in using these devices for brain function assessment, particularly stress measurement. The study emphasizes the importance of machine learning methods in interpreting sensor data and highlights the need for more research to validate results and assess overall assessment quality.
Low-cost EEG devices have gained attention for democratizing brain function assessment.
Machine learning is increasingly used with EEG sensor data for health monitoring.
Research reviews the last decade's literature on using EEG for brain function assessment.
More studies are needed to determine overall assessment quality offered by these devices.
Combining low-cost EEG headsets with machine learning provides an alternative to medical-grade devices.
Studies show high predictive accuracy rates but lack health screening prior to experimentation.
Previous works focused on single health conditions like stress without considering other mental health conditions.
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arxiv.org
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by Gideon Vos,M... at arxiv.org 03-12-2024
https://arxiv.org/pdf/2403.05577.pdfDeeper Inquiries