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2017 | OriginalPaper | Chapter

Architecture for Neurological Coordination Tests Implementation

Authors : Michel Velázquez-Mariño, Miguel Atencia, Rodolfo García-Bermúdez, Francisco Sandoval, Daniel Pupo-Ricardo

Published in: Advances in Computational Intelligence

Publisher: Springer International Publishing

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Abstract

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.

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Metadata
Title
Architecture for Neurological Coordination Tests Implementation
Authors
Michel Velázquez-Mariño
Miguel Atencia
Rodolfo García-Bermúdez
Francisco Sandoval
Daniel Pupo-Ricardo
Copyright Year
2017
Book
Advances in Computational Intelligence

Print ISBN: 978-3-319-59146-9

Electronic ISBN: 978-3-319-59147-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-59147-6_3

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