Prototipo de aplicativo móvil de terapias del lenguaje, para el tratamiento de Dislalia modulo paciente mediante procesamiento de voz.
Fecha
2020-04
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Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería en Sistemas Computacionales.
Resumen
El presente proyecto de titulación está orientado al desarrollo de un sistema móvil que permita
automatizar los procesos para detectar y tratar en un infante problemas de dislalia funcional.
Cuando se quiere tratar con la dislalia funcional, el niño debe acudir de manera presencial a un
centro especializado para poder recibir una consulta con un especialista y realizar una prueba
manual para identificar si el niño posee dislalia funcional; con lo cual el especialista analiza la
prueba y recomienda un tratamiento en las instalaciones del centro donde se atendió. En la
actualidad la mayoría de las personas en la cuidad de Guayaquil-Ecuador poseen dispositivos
electrónicos inteligentes (smartphone), por lo cual se pretende desarrollar una aplicación móvil
que facilite al infante realizar su prueba de diagnóstico y su tratamiento para la dislalia funcional
desde la comodidad de su hogar utilizando sistemas de reconocimiento de voz de Google Cloud,
para esta manera automatizar estos procesos y reducir el costo y tiempo. Para el desarrollo de este
sistema móvil se utilizará como Framework IONIC 5, por su compatibilidad con lenguajes como
HTML, CSS, JAVASCRIPT Y TYPESCRIPT, por permitir crear aplicaciones hibridas (IOS y
Android), utilizando el sistema de reconocimiento de voz de Google Cloud de y plugin de apachecordova, para detectar el tipo de dislalia que posee el infante basado en sus intentos de
pronunciación, en conclusión este sistema ofrecerá ayuda a los pacientes para detectar su nivel de
dislalia funcional, realizar el tratamiento adecuado y poder mejorar los tratamientos basándose en
los resultado de pacientes anteriores.
This degree project is aimed at the development of a mobile system that allows automating processes to detect and treat functional dyslalia problems in an infant. When you want to deal with functional dyslalia, the child must go in person to a specialized center to receive a consultation with a specialist and perform a manual test to identify if the child has functional dyslalia; with which the specialist analyzes the test and recommends a treatment in the facilities of the center where it was attended. Currently, most people in the city of Guayaquil-Ecuador have smart electronic devices (smartphone), so it is intended to develop a mobile application that facilitates the infant to perform their diagnostic test and their treatment for functional dyslalia from the comfort of your home using Google Cloud voice recognition systems, to automate these processes and reduce cost and time. For the development of this mobile system, it will be used as the IONIC 5 Framework, for its compatibility with languages such as HTML, CSS, JAVASCRIPT AND TYPESCRIPT, for allowing the creation of hybrid applications (IOS and Android), using the Google Cloud voice recognition system of and apache-cordova plugin, to detect the type of dyslalia that the infant possesses based on their pronunciation attempts, in conclusion this system will offer help to patients to detect their level of functional dyslalia, perform the appropriate treatment and improve treatments based on the results of previous patients.
This degree project is aimed at the development of a mobile system that allows automating processes to detect and treat functional dyslalia problems in an infant. When you want to deal with functional dyslalia, the child must go in person to a specialized center to receive a consultation with a specialist and perform a manual test to identify if the child has functional dyslalia; with which the specialist analyzes the test and recommends a treatment in the facilities of the center where it was attended. Currently, most people in the city of Guayaquil-Ecuador have smart electronic devices (smartphone), so it is intended to develop a mobile application that facilitates the infant to perform their diagnostic test and their treatment for functional dyslalia from the comfort of your home using Google Cloud voice recognition systems, to automate these processes and reduce cost and time. For the development of this mobile system, it will be used as the IONIC 5 Framework, for its compatibility with languages such as HTML, CSS, JAVASCRIPT AND TYPESCRIPT, for allowing the creation of hybrid applications (IOS and Android), using the Google Cloud voice recognition system of and apache-cordova plugin, to detect the type of dyslalia that the infant possesses based on their pronunciation attempts, in conclusion this system will offer help to patients to detect their level of functional dyslalia, perform the appropriate treatment and improve treatments based on the results of previous patients.
Descripción
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Palabras clave
Framework, Comando, HTML, CSS, JAVASCRIPT, TYPESCRIPT, Apachecordova, Dislalia funcional, Framework, Comand, Functional Dyslalia