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                  <mods:namePart>Velazquez-Mariño, Michel</mods:namePart>
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                  <mods:namePart>Atencia-Ruiz, Miguel Alejandro</mods:namePart>
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                  <mods:namePart>García-Bermúdez, Rodolfo</mods:namePart>
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                  <mods:namePart>Sandoval-Hernández, Francisco</mods:namePart>
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                  <mods:namePart>Pupo-Ricardo, Daniel</mods:namePart>
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               <mods:identifier type="citation">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</mods:identifier>
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               <mods:abstract>This paper proposes a generic architecture for devising interactive neurological assessment tests, aimed at being implemented on a&#xd;
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&#xd;
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&#xd;
a set of stimuli, responses, feedback information, and execution control procedures. The presented definition has allowed for the implementation&#xd;
of a particular test, the Finger-Nose-Finger, that will allow the exploitation of data with intelligent techniques.</mods:abstract>
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               <mods:subject>
                  <mods:topic>Neurología - Simulación por ordenador</mods:topic>
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               <mods:titleInfo>
                  <mods:title>Architecture for Neurological Coordination Tests Implementation</mods:title>
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