Respiratory Therapy
Conditions
Keywords
Spirometry, Respiratory sounds
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.
Interventions
OTHERMonitoring 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.
Sponsors
KU Leuven
Universitair Ziekenhuis Brussel
Lieven De Maesschalck
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SUPPORTIVE_CARE
Masking
NONE
Intervention model description
Single group interventional study acquiring spirometry data, respiration sound and physiological data in patients suffering from pulmonary disease.
Eligibility
Sex/Gender
ALL
Age
12 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* The patient has a chronic or acute respiratory condition and may need oxygen therapy * The patient is minimally 12 years old
Exclusion criteria
* 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. * The patient has an infection with Burkholderia cepatia. * The patient is in isolation due to the risk of infection.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Respiration flow | 1 year | Measured in liter per minute, measured by a spirometer. |
| Respiration volume | 1 year | Measured in liter, measured by a spirometer. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Heart rate | 1 year | Measured in beats per minute by photoplethysmography using a wrist watch with a sensor |
| Skin conductivity | 1 year | Measured in Siemens using a wrist watch with a sensor |
| Body temperature | 1 year | Measured in degrees Celsius using a wrist watch with a sensor |
| Oxygen saturation | 1 year | Measured in percentage by photoplethysmography using a wrist watch with a sensor |
Contacts
Primary ContactKris Cuppens, PhD
Backup ContactFilip Van Ginderdeuren, PhD
Outcome results
None listed