Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau
Impulse oscillometry is a technique that allows evaluation of pulmonary mechanics through the application of sound waves of different frequencies, collecting the oscillations produced in the patient in response. The use of mathematical algorithms in the interpretation of oscillometry improves the evaluation of pulmonary function. The aim of the present study is to evaluate machine learning approaches to recognize respiratory patterns of different diseases.
Age
18–99
Sex
ALL
Healthy volunteers
Accepted
You may be eligible if
18 - 90 years
Spirometry available
Confirmed clinical diagnosis of COPD, asthma, interstitial lung disease according to national or international guidelines
You may not be if
Acute respiratory infection
Clareo Health | Oscillometry and Machine Learning Approaches
