Internet of medical things. Measurement of respiratory dynamics using wearable sensors in post-COVID-19 patients.

  1. Cecilia García Cena 1
  2. Luis Silva 2
  3. Fabián H. Diaz Palencia 3
  4. María Islán Moríñigo 1
  5. Cristina P. Santos 2
  6. Roque Saltarén 1
  7. Julián Benito León 4
  8. David Gómez Andrés 5
  1. 1 ETSIDI-Centre forAutomation and Robotics from Universidad Politecnica de Madrid,Spain, C. Ronda de Valencia 3, 28012, Madrid, Spain.
  2. 2 Industrial Electronics Department, University of Minho, Guimarães, Portugal
  3. 3 Mechanical Engineering School, Industrial University of Santander, Colombia.
  4. 4 Department of Neurology,University Hospital “12 de Octubre”, Madrid,Spain; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Spain; Department of Medicine,5 Complutense University, Madrid, Spain
  5. 5 Child Neurology Unit. Hospital Universitari Vall d'Hebron, Vall d'Hebron Research Institute (VHIR), Euro-NMD & ERN-RND, Barcelona, Spain
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Revista:
Enfoque UTE: Facultad de Ciencias de la Ingeniería e Industrias - Universidad UTE

ISSN: 1390-6542

Año de publicación: 2023

Volumen: 14

Número: 3

Páginas: 36-48

Tipo: Artículo

DOI: 10.29019/ENFOQUEUTE.972 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Enfoque UTE: Facultad de Ciencias de la Ingeniería e Industrias - Universidad UTE

Resumen

Hoy en día, la medición de la dinámica respiratoria está infravalorada en el ámbito clínico y en la vida diaria de un sujeto y sigue representando un reto desde el punto de vista técnico y médico. En este artículo proponemos un concepto para medir algunos de sus parámetros, como la frecuencia respiratoria (FR), utilizando cuatro sensores inerciales. Se realizaron dos experimentos diferentes para validar el concepto. Analizamos la colocación más adecuada de cada sensor para evaluar esas características y estudiamos la fiabilidad del sistema para medir parámetros anormales de la respiración (taquipnea, bradipnea y retención de la respiración). Por último, realizamos mediciones en pacientes post-COVID-19, algunos de ellos con alteraciones respiratorias después de más de un año del diagnóstico. Los resultados experimentales mostraron que el sistema propuesto podría utilizarse potencialmente para medir la dinámica respiratoria en el ámbito clínico. Además, mientras que la FR puede calcularse fácilmente con cualquier sensor, otros parámetros deben medirse con un sensor en una posición determinada.

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Fuente de los datos: Dialnet