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Fig. 5 | Journal of NeuroEngineering and Rehabilitation

Fig. 5

From: Accelerometry-enabled measurement of walking performance with a robotic exoskeleton: a pilot study

Fig. 5

Patient scores at the end of training. Using multiple features (right) improves patients’ discriminability from the experts (green shaded area indicates ± 2 standard deviations from the mean experts’ score) as compared to using steps as the only feature (left). Data is mean z-score over 2 sessions and error bars are 1 standard deviation from the mean. Asterisk (*) indicates the score is significantly below –2 (Wilcoxon signed rank test, p < 0.001), i.e. the patient has not reached the experts’ level

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