MARRSIDS: Monitoring Assistant to Reduce the Risk of Sudden Infant Death Syndrome

Xavier Lopez Gallo, Santiago Lechon, Stalin Mora, Diego Vallejo-Huanga

Resultado de la investigación: Capítulo del libro/informe/acta de congresoCapítulo

Resumen

One of the main causes of death in children, during the first year of life, is Sudden Infant Death Syndrome (SIDS) due to the poor position of the infant when sleeping. In this work a prototype is proposed, called MARRSIDS, based on elements of accessible hardware, free software and artificial vision that allows to monitor the infant, while she/he sleeps. The monitoring assintant executes a sound alarm if it identifies that the child is in an incorrect position. To verify the reliability of the device, experiments are included in children, with different characteristics, that have been monitored during a certain period of time in which the behavior of the device has proven to be effective.

Idioma originalInglés
Título de la publicación alojada2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728114910
ISBN (versión impresa)9781728114910
DOI
EstadoPublicada - 1 abr 2019
Evento22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Bucaramanga, Colombia
Duración: 24 abr 201926 abr 2019

Serie de la publicación

Nombre2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings

Conferencia

Conferencia22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019
PaísColombia
CiudadBucaramanga
Período24/04/1926/04/19

Huella Profundice en los temas de investigación de 'MARRSIDS: Monitoring Assistant to Reduce the Risk of Sudden Infant Death Syndrome'. En conjunto forman una huella única.

  • Citar esto

    Gallo, X. L., Lechon, S., Mora, S., & Vallejo-Huanga, D. (2019). MARRSIDS: Monitoring Assistant to Reduce the Risk of Sudden Infant Death Syndrome. En 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings [8730261] (2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/STSIVA.2019.8730261