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>