Implementación de un sistema con inteligencia computacional para identificar dificultad respiratoria a partir del procesamiento digital de señales de voz

The developed system incorporates computational intelligence, this allows to identify people with respiratory distress (caused by influenza) in an automatic and non-invasive way, from the digital processing of voice signals, integrating the calculation of acoustic, spectral, temporal and statistical...

Full description

Autores:
Fernández Velasco, Sara Isabel
Ramos Casanova, Karen Andrea
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2021
Institución:
Universidad Antonio Nariño
Repositorio:
Repositorio UAN
Idioma:
spa
OAI Identifier:
oai:repositorio.uan.edu.co:123456789/5974
Acceso en línea:
http://repositorio.uan.edu.co/handle/123456789/5974
Palabra clave:
Sistema computacional
inteligencia computacional
parámetros acústicos
dificultad respiratoria
voz
Computational system
voice
respiratory distress
acoustic parameters
computational intelligence.
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Description
Summary:The developed system incorporates computational intelligence, this allows to identify people with respiratory distress (caused by influenza) in an automatic and non-invasive way, from the digital processing of voice signals, integrating the calculation of acoustic, spectral, temporal and statistical parameters, which implemented in a client-server architecture, they allow the respective analysis, obtained as a result of the recording of two sustained vowel sounds (vowel "a" and "o"), through the microphone of a mobile device of a Spanish-speaking population group aged between 18 and 49 years old. The results obtained determine that for the detection of respiratory distress, the vowel "a" is more efficient in women with a hit rate of 97.62% and the vowel "o" in men; reaching a hit rate of 96.77%. This system is expected to contribute to new support tools with potential for application in health, to promote biosafety protocols, especially in this context of a Covid-19 pandemic; illness that causes respiratory distress, like the flu.