Fig. 2
The effect of sensor location and number of sensors on model performance. AUROC curves for detection of bradykinesia and tremor using random forest population models a when trained on data from either a single hand (with dominant symptoms), both hands (Hand_Bi), or a combination of hand, forearm and thigh sensors unilaterally (Combo). Corresponding AUROC curves from CNN population models b for detection of bradykinesia and tremor. Using a combination of sensors did not yield any advantage to only using hand sensors. Solid lines indicate mean AUROC and shaded areas represent 95% confidence intervals
