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Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84814, first published .
AI and Internet of Things for Chronic Obstructive Pulmonary Disease Remote Monitoring: Systematic Review of Exacerbation Prediction and Key Physiological Variables

AI and Internet of Things for Chronic Obstructive Pulmonary Disease Remote Monitoring: Systematic Review of Exacerbation Prediction and Key Physiological Variables

AI and Internet of Things for Chronic Obstructive Pulmonary Disease Remote Monitoring: Systematic Review of Exacerbation Prediction and Key Physiological Variables

Martina Montenegro   1, 2 , BSc, MSc ;   Jasper Gielen   1 , BSc, MSc, PhD ;   Chunzhuo Wang   2 , BSc, MSc, PhD ;   Bart Vanrumste   2 , BSc, MSc, PhD ;   David Ruttens   3, 4 , BSc, MSc, MD, PhD ;   Ruben Knevels   5, 6 , BSc, MSc ;   Jean-Marie Aerts   1 , BSc, MSc, PhD

1 Department of Biosystems, M3-BIORES, Division Animal and Human Health Engineering, KU Leuven, Leuven, Belgium

2 Department of Electrical Engineering, e-Media Research Lab, Division STADIUS, KU Leuven, Leuven, Belgium

3 Department of Respiratory Medicine, Ziekenhuis Oost-Limburg, Genk, Belgium

4 Faculty of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium

5 Limburg Clinical Research Center/Mobile Health Unit, Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium

6 Future Health Department, Ziekenhuis Oost-Limburg, Genk, Belgium

Corresponding Author:

  • Martina Montenegro, BSc, MSc
  • Department of Biosystems
  • M3-BIORES, Division Animal and Human Health Engineering, KU Leuven
  • Castle Park Arenberg 30
  • Leuven
  • Belgium
  • Phone: 32 16321434
  • Email: martina.montenegro@kuleuven.be