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Computer Aided Respiratory Therapy Based on Audio and Spirometry Signals
Sponsor: Lieven De Maesschalck
Summary
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.
Key Details
Gender
All
Age Range
12 Years - Any
Study Type
INTERVENTIONAL
Enrollment
15
Start Date
2024-06-25
Completion Date
2025-09-30
Last Updated
2024-06-14
Healthy Volunteers
No
Conditions
Interventions
Monitoring of patients
Data from a spirometer and a stethoscope are captured to develop algorithms to detect and classify respiration sounds to support therapists and patients in future therapy.