Clinical Trial

Vowel Segmentation for Classification of Chronic Obstructive Pulmonary Disease Using Machine Learning

Active, Not Recruiting
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Summary
This work aims to evaluate whether the segmentation of vowel recordings collected from patients diagnosed with COPD and healthy control groups can increase the classification precision of machine learning techniques.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2023-12-05.
Trial Details
NCT Number NCT06160674
Lead Sponsor Blekinge Institute of Technology
Collaborators: Excellence Center at Linköping - Lund in Information Technology (ELLIIT)
Conditions Chronic Obstructive Pulmonary Disease
Enrollment 68 participants
Start Date 2023-11-28
Primary Completion 2024-10-30 (estimated)
Study Completion 2024-11-30 (estimated)
Updated on ClinicalTrials.gov 2024-11-25