To evaluate wearable EEG technology for detecting mild cognitive impairment (MCI) and identify factors that optimize its performance and usability in real-world applications.
Key Findings:
Classification accuracy of wearable EEG devices varied significantly (46–95%).
Seven critical factors identified to optimize diagnostic performance, portability, and affordability, which are crucial for practical applications.
Methodological considerations for future research include standardization of diagnostic frameworks and increasing sample diversity to enhance generalizability.
Interpretation:
The findings highlight the potential of wearable EEG devices as accessible screening tools for MCI, emphasizing the need for improved design and methodological rigor to facilitate their adoption in clinical settings.
Limitations:
Variation in classification accuracy limits generalizability and may affect clinical decision-making.
Lack of standardized protocols and diverse samples in existing studies hinders the applicability of findings.
Conclusion:
Insights from this study can guide the development of user-friendly wearable EEG systems for early cognitive impairment screening in community and primary care settings, potentially transforming early detection practices.
