10.1371/journal.pone.0056956.t003 Jochen Klucken Jochen Klucken Jens Barth Jens Barth Patrick Kugler Patrick Kugler Johannes Schlachetzki Johannes Schlachetzki Thore Henze Thore Henze Franz Marxreiter Franz Marxreiter Zacharias Kohl Zacharias Kohl Ralph Steidl Ralph Steidl Joachim Hornegger Joachim Hornegger Bjoern Eskofier Bjoern Eskofier Juergen Winkler Juergen Winkler Single features derived from pattern recognition paradigms. Public Library of Science 2013 derived 2013-02-19 01:29:08 Dataset https://plos.figshare.com/articles/dataset/_Single_features_derived_from_pattern_recognition_paradigms_/665348 <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>