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ABSTRACT: Background
Chronic Obstructive Pulmonary Disease (COPD) is one of the main causes of morbidity and mortality worldwide. Its management represents real economic and public health burdens, accentuated by periods of acute disease deterioration, called exacerbations. Some researchers have studied the interest of monitoring patients' breathing rate as an indicator of exacerbation, although achieving limited sensitivity and/or specificity. In this study, we look to improve the previously described method, by combining breathing variables, using multiple daily measures, and using an artificial intelligence-based novelty detection approach.Methods
Patients with COPD were monitored with a telemedicine device during their stay in a rehabilitation care center. Daily measures are compa
SUBMITTER: Alves Pegoraro J
PROVIDER: S-EPMC11863910 | biostudies-literature | 2025 Feb
REPOSITORIES: biostudies-literature