Single features derived from pattern recognition paradigms.
2013-02-19T01:29:08Z (GMT) by
<p>Selected features from derived from pattern recognition algorithm “A<sub>PD</sub>” 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.</p>