Frequency-time Analysis of Pathological Lung Sounds: Detection and Quantification of Pathological Sounds in Patients With Cystic Fibrosis, Pulmonary Fibrosis or COPD (Chronic Obstructive Pulmonary Disease)
试验速览
- 阶段
- 不适用
- 状态
- 终止
- 入组人数
- 23
- 试验地点
- 2
- 主要终点
- Lung sounds visible in their representation as time-frequency images
研究概览
简要总结
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.
详细描述
Secondary objectives
The other objectives of this study are :
- To evaluate the ability to detect changes in lung sounds, following optimization of the time-frequency representation.
- 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.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Age ≥ 18 years
- •Suffering from one of the following pathologies: cystic fibrosis, pulmonary fibrosis, COPD
- •Not opposed to participating in the study
排除标准
- •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.
结局指标
主要结局
Lung sounds visible in their representation as time-frequency images
时间窗: 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.
次要结局
- Classification of sounds by severity(At inclusion)