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Creating and Assessing a Voice Dataset for Automated Classification of Chronic Obstructive Pulmonary Disease

NCT05897944 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 72

Last updated 2025-03-19

No results posted yet for this study

Summary

This work aims to evaluate whether voice recordings collected from patients diagnosed with COPD and healthy control groups can be used to detect the disease using machine learning techniques.

Conditions

Interventions

OTHER

COPD

A data set consisting of information from COPD and HC groups will be used to experiment with the classification performance of several Machine Learning techniques.

Sponsors & Collaborators

  • Excellence Center at Linköping - Lund in Information Technology (ELLIIT)

    collaborator UNKNOWN

  • Blekinge Institute of Technology

    lead OTHER

Principal Investigators

  • Johan Sanmartin Berglund, MD, PhD · Blekinge Institute of Technology

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-12-16
Primary Completion
2024-08-12
Completion
2024-10-30

Countries

  • Sweden

Study Locations

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Entities

Diseases

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 NCT05897944 on ClinicalTrials.gov