Analysis and Evaluation of Handwriting in Patients with Parkinson's Disease Using kinematic, Geometrical, and Non-linear Features

no code implementations • 13 Feb 2020 • C. D. Rios-Urrego, J. C. Vásquez-Correa, J. F. Vargas-Bonilla, E. Nöth, F. Lopera, J. R. Orozco-Arroyave

Results: Accuracies of up to $93. 1\%$ were obtained in the classification of patients and healthy control subjects.

General Classification

Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages

no code implementations • 11 Feb 2020 • J. C. Vásquez-Correa, T. Arias-Vergara, C. D. Rios-Urrego, M. Schuster, J. Rusz, J. R. Orozco-Arroyave, E. Nöth

This paper introduces a methodology to classify Parkinson's disease from speech in three different languages: Spanish, German, and Czech.

Specificity Transfer Learning