Computer Aided Respiratory Therapy Based on Audio and Spirometry Signals
NCT ID: NCT06461195
Last Updated: 2024-06-14
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
15 participants
INTERVENTIONAL
2024-06-25
2025-09-30
Brief Summary
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Detailed Description
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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
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Study Design
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NA
SINGLE_GROUP
SUPPORTIVE_CARE
NONE
Study Groups
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Regular respiratory physiotherapy while being monitored
Patients receive their standard respiratory physiotherapy, but in the mean time they are monitored with a stethoscope, spirometer and a wearable to measure physiological parameters.
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.
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
* The patient is minimally 12 years old
Exclusion Criteria
* The patient has an undrained pneumothorax.
* The patient is experiencing an acute pulmonary hemorrhage.
* The patient is having an asthma exacerbation.
* The patient has an infection with Burkholderia cepatia.
* The patient is in isolation due to the risk of infection.
12 Years
ALL
No
Sponsors
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KU Leuven
OTHER
Universitair Ziekenhuis Brussel
OTHER
Lieven De Maesschalck
OTHER
Responsible Party
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Lieven De Maesschalck
Innovation Manager
Principal Investigators
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Filip Van Ginderdeuren, PhD
Role: PRINCIPAL_INVESTIGATOR
Universitair Ziekenhuis Brussel
Central Contacts
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Other Identifiers
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2023COMPASS-ST01
Identifier Type: -
Identifier Source: org_study_id
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