Estimating gait parameters from sEMG signals using machine learning techniques under different power capacity of muscle.

Sci Rep · 2025 · PMC11993641 · PMID 40221487

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closest p

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highly significantno p-value reported

The MDFs in groups I and V indicate a highly significant difference, likely corresponding to a p-value of less than 0.001.

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