Identification of Respiratory Profiles From Nasal Pressure Signals
NCT ID: NCT03753386
Last Updated: 2019-09-16
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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COMPLETED
NA
20 participants
INTERVENTIONAL
2019-05-16
2019-05-28
Brief Summary
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Early detection of exacerbations of the disease is thus an economic and public health issue in the world. Finding tools for automatic and early detection of an exacerbation is the subject of the study. A continuous analysis of the frequency and shape of the patients' breathing will be used.
As a first step in this study, investigators want to measure the frequency and shape of breathing in healthy subjects as they execute standard activities. These activities include resting, drinking, coughing, speaking, breathing through the mouth, physical exercise and recuperation.
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
BASIC_SCIENCE
NONE
Study Groups
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Healthy subjects
Subjects not presenting any pulmonary pathology that will follow the intervention Oxygen therapy simulation.
Oxygen therapy simulation
The intervention consists of reproducing oxygen therapy situations in healthy individuals by replacing oxygen bottles with bottles of air. A TeleOx® device will be placed on the circuit between the source and the nasal cannula for respiratory signals recording.
The intervention will last 30 minutes, containing the following activities in the given order:
* rest (9 minutes);
* drinking water (1 minute);
* rest (1 minute);
* coughing (1 minute);
* rest (1 minute);
* reading aloud (1 minute);
* rest (1 minute);
* breathing by the mouth (1 minute);
* rest (1 minute);
* exercising (running) (3 minutes) and
* rest (10 minutes)
Recordings will be retrieved after each test.
Interventions
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Oxygen therapy simulation
The intervention consists of reproducing oxygen therapy situations in healthy individuals by replacing oxygen bottles with bottles of air. A TeleOx® device will be placed on the circuit between the source and the nasal cannula for respiratory signals recording.
The intervention will last 30 minutes, containing the following activities in the given order:
* rest (9 minutes);
* drinking water (1 minute);
* rest (1 minute);
* coughing (1 minute);
* rest (1 minute);
* reading aloud (1 minute);
* rest (1 minute);
* breathing by the mouth (1 minute);
* rest (1 minute);
* exercising (running) (3 minutes) and
* rest (10 minutes)
Recordings will be retrieved after each test.
Eligibility Criteria
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Inclusion Criteria
* Health volunteers
Exclusion Criteria
* Age of minority
* Protected adult
* Person deprived of liberty
* Respiratory pathology
* Non affiliation to the health care system
18 Years
80 Years
ALL
Yes
Sponsors
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SRETT
UNKNOWN
Association pour le Développement et l'Organisation de la Recherche en Pneumologie et sur le Sommeil
OTHER
Responsible Party
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Principal Investigators
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Jesus Gonzalez-Bermejo
Role: PRINCIPAL_INVESTIGATOR
Groupe Hospitalier Pitié-Salpêtrière
Locations
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INSERM-UPC UMR_S 1158, Service de Pneumologie et Réanimation, GH Pitié-Salpêtrière
Paris, , France
Countries
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References
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Pegoraro JA, Lavault S, Wattiez N, Similowski T, Gonzalez-Bermejo J, Birmele E. Machine-learning based feature selection for a non-invasive breathing change detection. BioData Min. 2021 Jul 18;14(1):33. doi: 10.1186/s13040-021-00265-8.
Other Identifiers
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2018-A01999-46
Identifier Type: -
Identifier Source: org_study_id
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