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

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

doi:10.1109/STSIVA.2019.8730261

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

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

Spatial Data Infrastructure Research Group Artificial Intelligence Geoportals and Applied Computing (IDE IA GEO CA)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728114910
DOIs	https://doi.org/10.1109/STSIVA.2019.8730261
State	Published - Apr 2019
Event	22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Bucaramanga, Colombia Duration: 24 Apr 2019 → 26 Apr 2019

Publication series

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

Conference

Conference	22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019
Country/Territory	Colombia
City	Bucaramanga
Period	24/04/19 → 26/04/19

Bibliographical note

Funding Information:
This work was supported by IDEIAGEOCA Research Group of Universidad Politécnica Salesiana in Quito, Ecuador.

Publisher Copyright:
© 2019 IEEE.

Keywords

Artificial Vision
OpenCV
Pattern Recognition
Sudden Infant Death Syndrome

Access to Document

10.1109/STSIVA.2019.8730261

Cite this

Gallo, X. L., Lechon, S., Mora, S., & Vallejo-Huanga, D. (2019). MARRSIDS: Monitoring Assistant to Reduce the Risk of Sudden Infant Death Syndrome. In 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings Article 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

Gallo, Xavier Lopez ; Lechon, Santiago ; Mora, Stalin et al. / MARRSIDS : Monitoring Assistant to Reduce the Risk of Sudden Infant Death Syndrome. 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings).

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abstract = "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.",

keywords = "Artificial Vision, OpenCV, Pattern Recognition, Sudden Infant Death Syndrome",

author = "Gallo, {Xavier Lopez} and Santiago Lechon and Stalin Mora and Diego Vallejo-Huanga",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 ; Conference date: 24-04-2019 Through 26-04-2019",

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language = "English",

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Gallo, XL, Lechon, S, Mora, S & Vallejo-Huanga, D 2019, MARRSIDS: Monitoring Assistant to Reduce the Risk of Sudden Infant Death Syndrome. in 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., 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019, Bucaramanga, Colombia, 24/04/19. https://doi.org/10.1109/STSIVA.2019.8730261

MARRSIDS: Monitoring Assistant to Reduce the Risk of Sudden Infant Death Syndrome. / Gallo, Xavier Lopez; Lechon, Santiago; Mora, Stalin et al.
2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8730261 (2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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KW - OpenCV

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

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

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