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Fig. 5 | Journal of NeuroEngineering and Rehabilitation

Fig. 5

From: Role of data measurement characteristics in the accurate detection of Parkinson’s disease symptoms using wearable sensors

Fig. 5

Effect of magnitude-only features. Relationship between feature computation time and model performance (AUROC) for (a) Binary and (b) Multiclass models of tremor and bradykinesia. Shaded regions depict a 95% confidence interval of the mean AUROC. Features derived from the signal magnitude alone can achieve similar performance to combined tri-axial and magnitude features at a fraction of the computation time

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