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    Summary
    This summary is machine-generated.

    Offline classification accuracy poorly predicts myoelectric control usability. New metrics and their combinations show greater predictive power for evaluating control schemes, improving device development.

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    Area of Science:

    • Biomedical Engineering
    • Rehabilitation Engineering
    • Human-Computer Interaction

    Background:

    • Electromyography (EMG) signal pattern recognition is key for intuitive myoelectric device control.
    • Offline classification accuracy is a standard but poor metric for predicting real-world usability.
    • Existing research highlights alternative offline metrics but lacks a fully defined relationship with online performance.

    Purpose of the Study:

    • To explore and define the relationship between various offline EMG metrics and online usability of myoelectric control.
    • To identify more predictive offline metrics for evaluating EMG-based control interfaces.
    • To investigate the potential of combining offline metrics for improved usability prediction.

    Main Methods:

    • Extracted thirty-two different metrics from offline EMG training data.
    • Performed correlation analysis and ordinary least squares regression to link offline metrics with online use aspects.
    • Evaluated individual metrics and linear combinations for predictive accuracy.

    Main Results:

    • Offline classification accuracy is a weak predictor of myoelectric control usability.
    • Several alternative offline metrics demonstrate predictive power for usability.
    • Linear combinations of offline metrics significantly improve prediction accuracy compared to individual metrics.
    • A combination of mean semi-principal axes and mean absolute value outperformed feature efficiency for predicting throughput.

    Conclusions:

    • Current offline metrics, particularly classification accuracy, are insufficient for evaluating myoelectric control usability.
    • Identified metrics and their combinations offer more robust criteria for designing and reporting new control schemes.
    • Future research should focus on utilizing combined offline metrics for a more reliable prediction of device usability.