Analysis and evaluation of handwriting in patients with Parkinson’s disease using kinematic, geometrical, and non-linear features

Rios-Urrego CD, Vargas-Bonilla F, Nöth E, Lopera F, Orozco Arroyave JR (2019)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2019

Journal

Computer Methods and Programs in Biomedicine Elsevier

Book Volume: 173

Pages Range: 43-52

URI: https://www.sciencedirect.com/science/article/pii/S0169260719300574

DOI: 10.1016/j.cmpb.2019.03.005

Authors with CRIS profile

Juan Vasquez Correa Professur für Informatik (Mustererkennung) Elmar Nöth Professur für Informatik (Mustererkennung) Juan Rafael Orozco Arroyave Professur für Informatik (Mustererkennung)

How to cite

APA:

Rios-Urrego, C.D., Vargas-Bonilla, F., Nöth, E., Lopera, F., & Orozco Arroyave, J.R. (2019). Analysis and evaluation of handwriting in patients with Parkinson’s disease using kinematic, geometrical, and non-linear features. Computer Methods and Programs in Biomedicine, 173, 43-52. https://dx.doi.org/10.1016/j.cmpb.2019.03.005

MLA:

Rios-Urrego, Cristian David, et al. "Analysis and evaluation of handwriting in patients with Parkinson’s disease using kinematic, geometrical, and non-linear features." Computer Methods and Programs in Biomedicine 173 (2019): 43-52.

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