Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/31460
Title: Design of an intelligent system for prediction and simulation of writing in children with spasticity
Authors: Serpa Andrade, Luis Javier
Gonzalez Delgado, Luis Enrique
Ojeda Zamalloa, Isaac Leonardo
Robles Bykbaev, Vladimir Espartaco
Buñay Andrade, Roman Mauricio
Keywords: Graphology descriptors
Intelligent prediction
Spasticity
Issue Date: 24-Oct-2018
metadata.dc.ucuenca.embargoend: 24-Oct-2050
Publisher: AHFE
metadata.dc.description.city: 
Los Angeles
metadata.dc.type: ARTÍCULO DE CONFERENCIA
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.
Description: 
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.
URI: http://dspace.ucuenca.edu.ec/handle/123456789/31460
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85022230987&origin=inward
ISBN: 978-3-319-60482-4
ISSN: 2194-5357
Appears in Collections:Artículos

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