Table 2 Odds ratio in logistic regression (N = 200).

From: Identifying and predicting gait stability metrics in people with stroke in uneven-surface walking using machine learning

Feature

Odds Ratio

RMS_VT

10.30

SampEn_AP

3.55

RMS_AP

2.38

sLE_AP

1.66

RQA_rec_ML

1.52

RMS_ML

1.39

RQA_det_ML

0.49

HR_AP

0.34

  1. RMS, root mean square; SampEn, sample entropy; sLE, short-term maximum Lyapunov exponent; RQA_rec, %recurrence in recurrence quantification analysis; RQA_det, %determinism in recurrence quantification analysis; HR, harmonic ratio; AP, ML, VT, anteriorposterior, mediolateral, and vertical direction of the acceleration signal, respectively.
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