Design and development of a wearable system for the analysis of respiratory patterns for health monitoring in seniors

Authors

  • Oscar Eduardo Castrejón Mejía Universidad de Colima
  • Pedro C. Santana-Mancilla Universidad de Colima
  • Silvia B. Fajardo-Flores Universidad de Colima

DOI:

https://doi.org/10.47756/aihc.y6i1.97

Keywords:

Co-design, Older adults, Remote health monitoring, Machine learning, Internet of Medical Things

Abstract

Wearable technology for non-invasive breathing monitoring has shown positive results in clinical tests for the early detection of more severe diseases. Due to the above, this project proposes to predict respiratory diseases by applying Artificial Intelligence techniques to the data obtained from the respiratory rate to identify risks to people's health through a non-invasive wearable device. User-centered methods are being used to design a prototype informed by the needs and characteristics of the users.

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Published

2021-11-30

How to Cite

[1]
Castrejón Mejía, O.E. et al. 2021. Design and development of a wearable system for the analysis of respiratory patterns for health monitoring in seniors. Avances en Interacción Humano-Computadora. 1 (Nov. 2021), 91–93. DOI:https://doi.org/10.47756/aihc.y6i1.97.

Issue

Section

Graduate thesis reports

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