Oscillometry and Machine Learning Approaches

Feasibility Study of Forced Oscillometry in the Prediction of Chronic Respiratory Diseases Using Machine Learning Approaches

Unicentric retrospective study designed to analyses the performance of various machine learning approaches to predict patterns of chronic respiratory diseases such as asthma, based mainly on clinical information and respiratory spirometry/oscillometry.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

Impulse oscillometry is a technique that allows evaluation of pulmonary mechanics through the application of sound waves of different frequencies, collecting the oscillations produced in the patient in response. The use of mathematical algorithms in the interpretation of oscillometry improves the evaluation of pulmonary function. The aim of the present study is to evaluate machine learning approaches to recognize respiratory patterns of different diseases.

Study Type

Observational

Enrollment (Estimated)

50

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

      • Barcelona, Spain, 08041
        • Recruiting
        • Hospital De La Santa Creu I Sant Pau
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Patients with asthma or COPD

Description

Inclusion Criteria:

  • 18 - 90 years
  • Spirometry available
  • Confirmed clinical diagnosis of COPD, asthma, interstitial lung disease according to national or international guidelines

Exclusion Criteria:

  • Acute respiratory infection

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Oscillometry
Compare oscillometry results with spirometryClick to apply
Compare oscillometry results with spirometryClick to apply

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Oscillometric breathing pattern
Time Frame: 1 year
Analyze results obtained
1 year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Respiratory pattern spirometry
Time Frame: 1 year
Forced expiratory volume in 1 second
1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Astrid Crespo-Lessmann, PhD, Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 15, 2025

Primary Completion (Estimated)

July 15, 2026

Study Completion (Estimated)

September 1, 2026

Study Registration Dates

First Submitted

February 26, 2026

First Submitted That Met QC Criteria

February 26, 2026

First Posted (Actual)

March 3, 2026

Study Record Updates

Last Update Posted (Actual)

March 3, 2026

Last Update Submitted That Met QC Criteria

February 26, 2026

Last Verified

February 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • IIBSP-MLA-2024-05

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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