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Estimating Mini Mental State Examination Scores using Game-Specific Performance Values: A Preliminary Study.

Hee-Tae Jung, Hyunsuk Lee, Kwangwook Kim

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    Summary
    This summary is machine-generated.

    Neuro-World uses 3D mobile games for self-administered cognitive assessments, providing a feasible method for frequent monitoring of cognitive function. This approach estimates Mini Mental State Examination (MMSE) scores with high accuracy.

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    Area of Science:

    • Digital health
    • Neuroscience
    • Mobile health (mHealth)

    Background:

    • Cognitive impairment necessitates regular monitoring, but traditional assessment tools require trained professionals, limiting frequent evaluations.
    • Existing clinical assessments pose barriers to longitudinal cognitive function tracking.

    Purpose of the Study:

    • To introduce Neuro-World, a system of 3D mobile games for self-administered cognitive function assessment.
    • To convert game performance into a clinically relevant measure, specifically the Mini Mental State Examination (MMSE) score.

    Main Methods:

    • Development of innovative 3D mobile games for cognitive assessment.
    • Training a supervised machine learning model using performance data from 12 post-stroke patients.
    • Estimating MMSE scores based on game performance data.

    Main Results:

    • A normalized root mean square error of 5.3% was achieved between actual and estimated MMSE scores.
    • Demonstrated the feasibility of using mobile game performance for cognitive assessment.

    Conclusions:

    • Neuro-World offers a novel, interactive approach for longitudinal cognitive function assessment.
    • This system enhances opportunities for both clinical and research applications in cognitive monitoring.