150
Participants
Start Date
May 8, 2024
Primary Completion Date
July 31, 2024
Study Completion Date
July 31, 2025
Variations in daily life activity signals detected by unobtrusive sensors
Patients will be equipped with unobtrusive devices for a duration of 12 months. Throughout this period, they will attend scheduled visits every three months following the baseline visit. These assessments will focus on determining the frequency of exacerbations, evaluating exercise capacity, measuring the severity of dyspnea, and assessing health-related quality of life. The data gathered from the sensors embedded in these unobtrusive devices will be instrumental in developing AI-based models. These models aim to accurately predict COPD exacerbations and effectively estimate the progression of the previously mentioned health outcome.
RECRUITING
Pulmonary Research Institute, Großhansdorf
NOT_YET_RECRUITING
Azienda Ospedaliero Universitaria Pisana, Pisa
RECRUITING
Hospital del Mar Research Institute, Barcelona
Collaborators (1)
University of Pisa
OTHER
LungenClinic Grosshansdorf
OTHER
Hospital del Mar Research Institute
UNKNOWN
"Fondazione C.N.R./Regione Toscana G. Monasterio, Pisa, Italy"
OTHER_GOV
Universidad Politecnica de Madrid
OTHER
TIMELEX
UNKNOWN
Avvale
UNKNOWN
Barcelona Institute for Global Health
OTHER