Single features derived from pattern recognition paradigms.

Selected features from derived from pattern recognition algorithm “APD” that show the highest difference (p<0.00001) if tested for differences between PD patients and controls (Student's T-test). Only low sensitivity and specificity is reached by single feature classification (AdaBoost). Description of feature includes the task and the sensor type/axis.

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CC BY 4.0