Human-in-the-loop optimization of wearable device parameters using an EMG-based objective function.

For this example, the correlation between the output from the EMG-based objective function and the estimated EC was highly significant (Pearson correlation = 0.97).

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However, our results demonstrated a positive trend in identifying a step frequency value around 5% of their preferred that output a lower energetic cost than the one calculated when walking at their preferred step frequency.

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