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Virtual Speech Therapy Room: A Machine Learning-Based Neuro-Behavior Sensing Virtual Reality System for Aphasia

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    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
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    This study introduces a virtual reality speech therapy system for aphasia. The virtual reality approach and automated assessment model show promise in improving treatment effectiveness and aiding clinical evaluation.

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    Area of Science:

    • Neurology
    • Speech-Language Pathology
    • Biomedical Engineering

    Background:

    • Aphasia, a common post-brain injury condition, faces limitations with traditional speech therapy methods.
    • Current assessments are time-consuming, professional-dependent, and prone to subjective bias.
    • Smart healthcare solutions are needed to enhance aphasia evaluation and rehabilitation.

    Purpose of the Study:

    • To develop a virtual speech therapy room with an automated assessment model for aphasia.
    • To integrate immersive virtual reality (VR) language training with physiological data analysis.
    • To create an objective and efficient tool for clinicians.

    Main Methods:

    • Twenty individuals with aphasia (IWA) and ten healthy participants were enrolled.
    • Participants were assigned to experimental, control (aphasia), and control (healthy) groups.
    • Clinical scales, VR tasks, and neurobehavioral data were collected and analyzed.

    Main Results:

    • Virtual reality interventions significantly enhanced aphasia treatment effectiveness.
    • Significant differences in left frontal and occipital regions were observed between IWA and healthy participants using VR and behavioral sensing.
    • The automated assessment model achieved 97% classification accuracy for distinguishing IWA from healthy individuals.

    Conclusions:

    • Virtual reality and behavioral sensing offer a promising approach for aphasia rehabilitation and assessment.
    • The developed automated model can serve as a valuable auxiliary tool for physicians.
    • This technology advances smart healthcare for neurological conditions like aphasia.