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Related Experiment Video

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A Multi-Modality Fusion Model Based on Dual-Task Measurement for the Automatic Detection of Early-Stage Cognitive

Shuqiong Wu, Jiaqing Liu, Akos Godo

    IEEE Transactions on Bio-Medical Engineering
    |June 23, 2025
    PubMed
    Summary

    This study introduces a novel dual-task system for early cognitive impairment detection. The multi-modality fusion approach achieves high accuracy in screening for cognitive decline.

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    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Gerontology

    Background:

    • Early-stage cognitive impairment poses a significant challenge in diagnosis.
    • Current screening methods may lack the sensitivity and specificity for early detection.
    • A need exists for simple, automated, and high-performance screening tools.

    Purpose of the Study:

    • To develop a simple, automated screening approach for early-stage cognitive impairment.
    • To achieve high performance in detecting cognitive decline using a novel methodology.
    • To integrate multiple data modalities for enhanced diagnostic accuracy.

    Main Methods:

    • Developed a dual-task system combining physical (gait) and cognitive tasks.
    • Collected gait data, cognitive scores, and electroencephalography (EEG) signals simultaneously.
    • Introduced a novel fusion algorithm with a cross-attention mechanism and a unique loss function to integrate the three modalities.

    Main Results:

    • The proposed fusion model and loss function demonstrated significant effectiveness.
    • Achieved high performance metrics: AUC of 0.9845, sensitivity of 0.9659, and specificity of 0.9535.
    • Outperformed existing methods in accuracy, cross-fold stability, and sensitivity-specificity balance.

    Conclusions:

    • Presented an effective multi-modality fusion framework for early-stage cognitive impairment screening.
    • The algorithm's validity and robustness were confirmed by experimental results.
    • Facilitates early detection of cognitive impairment, aiding in dementia prevention and treatment.