Validation of Inter-Subject Training for Hidden Markov Models Applied to Gait Phase Detection in Children with Cerebral Palsy.

Sensors (Basel) · 2015 · PMC4610555 · PMID 26404309

Europe PMC DOI

hedged sentence

0.1000

closest p · 2.0× alpha

0.1000

boldest claim

The sentences

not entirely significantp = 0.100so close (0.05 < p ≤ 0.1)

Moreover, no statistical differences between 2P and 4P were found only in the TD group; more precisely, in the scalar classifier of foot in L1.0 (not entirely significant, p = 0.100), L1.5 (not extremely significant, p = 0.070) and I1.0 (not extremely significant, p = 0.060) and the distributed classifier in L1.5 (not extremely significant, p = 0.070).

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