Status: Not yet recruiting
Computer Aided Respiratory Therapy Based on Audio and Spirometry Signals
The purpose of the study is to collect data: audio in the form of respiratory sounds and instructions from the therapist, spirometry data during the execution of the therapy, physiological parameters, and patient information. With the help of this data, algorithms will be developed for the automatic detection, localization, and classification of respiratory sounds, linked to the respiratory cycle using spirometric signals.
Participants needed: 15
Trial details
Age: 12+Biological sex: AllType: InterventionalSponsor: Lieven De MaesschalckUpdated: Jun 14, 2024
Eligibility criteria
The patient has a chronic or acute respiratory condition and may need oxygen the... [+1]
The patient is cognitively impaired. [+5]