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Computer Aided Respiratory Therapy Based on Audio and Spirometry Signals

NCT06461195 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 15

Last updated 2024-06-14

No results posted yet for this study

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.

Conditions

  • Respiratory Therapy

Interventions

OTHER

Monitoring 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 & Collaborators

  • KU Leuven

    collaborator OTHER

  • Universitair Ziekenhuis Brussel

    collaborator OTHER

  • Lieven De Maesschalck

    lead OTHER

Principal Investigators

  • Filip Van Ginderdeuren, PhD · Universitair Ziekenhuis Brussel

Study Design

Allocation
NA
Purpose
SUPPORTIVE_CARE
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
12 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-06-25
Primary Completion
2025-03-01
Completion
2025-09-30

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06461195 on ClinicalTrials.gov