Chronic Obstructive Pulmonary Disease, Cystic Fibrosis, Pulmonary Fibrosis
Conditions
Brief summary
The main objective of the study is to assess the potential of time-frequency representation and analysis of pulmonary sounds collected with an electronic stethoscope, as part of the routine monitoring of patients with cystic fibrosis, COPD or pulmonary fibrosis.
Detailed description
Secondary objectives The other objectives of this study are : 1. To evaluate the ability to detect changes in lung sounds, following optimization of the time-frequency representation. 2. To evaluate the ability to quantify differences in the severity of the pathological sounds detected using artificial intelligence and a supervised learning method. Conduct of research This is a single-center, non-randomized, open-label study involving 60 male and female patients aged 18 to 65, eligible for a scheduled consultation as part of their usual pathological follow-up (routine care). Lung sound recordings will be made during the same consultation, after obtaining the patient's non-opposition. Recordings will be made using a 3M Littmann© model 3200 electronic stethoscope. The stethoscope works with Eko software, which will be installed on a touch-sensitive tablet or computer, enabling local storage of recorded data. Whatever the patient's pathology, the physician will listen to 10 lung sites defined in the protocol. At least one breath per pulmonary site will be recorded during the consultation. If a patient comes back for a consultation before the end of the recruitment period, a new lung sound recording will be performed.
Interventions
OTHERLung sound recordings
The lung sound recordings will be made during a consultation scheduled as part of the patient's usual follow-up, after obtaining the patient's non-opposition.
Sponsors
Groupe Hospitalier de la Region de Mulhouse et Sud Alsace
Study design
Observational model
CASE_ONLY
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Age ≥ 18 years * Suffering from one of the following pathologies: cystic fibrosis, pulmonary fibrosis, COPD * Not opposed to participating in the study
Exclusion criteria
* Person under court protection, guardianship or curatorship * Person deprived of liberty by judicial or administrative decision * Patient with a history of thoracic surgery, thoracic deformity, heart failure or other relevant illness at the investigator's discretion.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Lung sounds visible in their representation as time-frequency images | At inclusion | Pulmonary sounds will be recorded with an electronic stethoscope at each scheduled visit and processed with artificial intelligence using a supervised learning method. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Classification of sounds by severity | At inclusion | Pulmonary sounds will be recorded with an electronic stethoscope at each scheduled visit and processed with artificial intelligence using a supervised learning method. |
Countries
France
Outcome results
None listed