Abstract
Spasticity is considered a wide spectrum disease that affects all age groups. However, the spasticity in children can have diverse causes, and commonly is present in those patients that have been diagnosed with Infantile Cerebral Palsy. Approximately two thirds of children with ICP present spasticity. On the other hand, traditional writing is a process related with children’s cognitive development, and allows creating new neural connections between hands, elbows and shoulders. For those reasons, in this paper we present a proposal that aims predicting writing in children with spasticity, with the objective of supporting the traditional writing learning process.
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Acknowledgments
This work was part of the research project “SINSAE v4 Sistemas Inteligentes de Soporte a la Educación Especial” which is part of the research group on artificial intelligence and GI-IATA assistance technologies of the Salesian Polytechnic University Cuenca-Ecuador.
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Serpa-Andrade, L., González-Delgado, L., Parra-Astudillo, A., Ojeda-Zamalloa, I., Robles-Bykbaev, V., Bunay, R. (2018). Design of an Intelligent System for Prediction and Simulation of Writing in Children with Spasticity. In: Duffy, V., Lightner, N. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2017. Advances in Intelligent Systems and Computing, vol 590. Springer, Cham. https://doi.org/10.1007/978-3-319-60483-1_58
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DOI: https://doi.org/10.1007/978-3-319-60483-1_58
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