Ignite Creation Date:
2025-12-24 @ 2:08 PM
Ignite Modification Date:
2025-12-27 @ 9:10 PM
Study NCT ID:
NCT06461195
Status:
NOT_YET_RECRUITING
Last Update Posted:
2024-06-14
First Post:
2024-04-19
Is Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Computer Aided Respiratory Therapy Based on Audio and Spirometry Signals
Sponsor:
Lieven De Maesschalck
Organization:
Study Overview
Official Title:
Computer Aided Respiratory Therapy Based on Audio and Spirometry Signals
Status:
NOT_YET_RECRUITING
Status Verified Date:
2024-06
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
COMPASS
Brief 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.
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.
Study Oversight
Has Oversight DMC:
True
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: