A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson's Disease

Pérez Toro PA, Camilo Vasquez-Correa J, Arias-Vergara T, Garcia-Ospina N, Rafael Orozco-Arroyave J, Nöth E (2018)

Publication Type: Conference contribution

Publication year: 2018

Journal

Communications in Computer and Information Science Springer Verlag

Publisher: SPRINGER-VERLAG BERLIN

City/Town: BERLIN

Pages Range: 268-278

Conference Proceedings Title: APPLIED COMPUTER SCIENCES IN ENGINEERING, WEA 2018, PT II

Event location: Medellin, COLOMBIA

DOI: 10.1007/978-3-030-00353-1_24

Authors with CRIS profile

Paula Andrea Pérez Toro Professur für Informatik (Mustererkennung) Tomás Arias Vergara
Elmar Nöth Professur für Informatik (Mustererkennung)

Involved external institutions

Universidad de Antioquía (UDEA) CO Colombia (CO)

How to cite

APA:

Pérez Toro, P.A., Camilo Vasquez-Correa, J., Arias-Vergara, T., Garcia-Ospina, N., Rafael Orozco-Arroyave, J., & Nöth, E. (2018). A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson's Disease. In APPLIED COMPUTER SCIENCES IN ENGINEERING, WEA 2018, PT II (pp. 268-278). Medellin, COLOMBIA: BERLIN: SPRINGER-VERLAG BERLIN.

MLA:

Pérez Toro, Paula Andrea, et al. "A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson's Disease." Proceedings of the 5th Workshop on Engineering Applications (WEA), Medellin, COLOMBIA BERLIN: SPRINGER-VERLAG BERLIN, 2018. 268-278.

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