NCT06461195

Computer Aided Respiratory Therapy Based on Audio and Spirometry Signals

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 15 (estimated)
• Sponsor: Lieven De Maesschalck · Academic / Other
• Sex: All
• Age: 12 Years
• Healthy volunteers: Not accepted

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.

Detailed description

The study is an interventional study. Patients receive their standard respiratory physiotherapy, but in the mean time they are monitored with a stethoscope, spirometer and a wearable to measure physio-logical parameters. It has been chosen to intervene as little as possible in the therapy to measure the respiratory sounds and breathing of the patient as accurately as possible. By recording therapy sessions with 15 patients, we expect to register several hundred events of respiratory sounds. This provides a good foundation for training an algorithm to detect and classify respiratory sounds.

Conditions

• Respiratory Therapy

Interventions

Type	Name	Description
OTHER	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.

Timeline

• Start date: 2024-06-25
• Primary completion: 2025-03-01
• Completion: 2025-09-30
• First posted: 2024-06-14
• Last updated: 2024-06-14