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oai:riuma.uma.es:10630/139332026-02-03T12:32:03Zcom_10630_2254col_10630_37959

00925njm 22002777a 4500 dc Velazquez-Mariño, Michel author Atencia-Ruiz, Miguel Alejandro author García-Bermúdez, Rodolfo author Sandoval-Hernández, Francisco author Pupo-Ricardo, Daniel author 2017-06 This paper proposes a generic architecture for devising interactive neurological assessment tests, aimed at being implemented on a touchscreen device. The objective is both to provide a set of software primitives that allow the modular implementation of tests, and to contribute to the standardization of test protocols. Although our original goal was the application of machine learning methods to the analysis of test data, it turned out that the construction of such framework was a pre-requisite to collect enough data with the required levels of accuracy and reproducibility. In the proposed architecture, tests are defined by a set of stimuli, responses, feedback information, and execution control procedures. The presented definition has allowed for the implementation of a particular test, the Finger-Nose-Finger, that will allow the exploitation of data with intelligent techniques. Velázquez-Mariño M., Atencia M., García-Bermúdez R., Sandoval F., Pupo-Ricardo D. (2017) Architecture for Neurological Coordination Tests Implementation. In: Rojas I., Joya G., Catala A. (eds) Advances in Computational Intelligence. IWANN 2017. Lecture Notes in Computer Science, vol 10306. Springer, Cham http://hdl.handle.net/10630/13933 http://orcid.org/0000-0002-5158-5905 Neurología - Simulación por ordenador Architecture for Neurological Coordination Tests Implementation