About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
The patient has a chronic or acute respiratory condition and may need oxygen therapy
The patient is minimally 12 years old
Disqualifiers
The patient is cognitively impaired.
The patient has an undrained pneumothorax.
The patient is experiencing an acute pulmonary hemorrhage.
The patient is having an asthma exacerbation.
Trial design
Single group
Treatments tested in this trial
Monitoring of patients
Other interventionData 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.
Treatment groups
Trial outcomes
Primary outcomes
Respiration flow
Measured in liter per minute, measured by a spirometer.
Respiration volume
Measured in liter, measured by a spirometer.
Secondary outcomes
Heart rate
Measured in beats per minute by photoplethysmography using a wrist watch with a sensor
Skin conductivity
Measured in Siemens using a wrist watch with a sensor
Body temperature
Measured in degrees Celsius using a wrist watch with a sensor
Oxygen saturation
Measured in percentage by photoplethysmography using a wrist watch with a sensor
Locations
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Lieven De Maesschalck
Lead sponsor
Thomas More Kempen
Sponsor institution
KU Leuven
Collaborator
Universitair Ziekenhuis Brussel
Collaborator
This trial is not recruiting at the moment. You can still explore other options: