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Voice Analysis in Asthmatic Patients With Machine Learning Models

NCT06820671 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 344

Last updated 2025-05-18

No results posted yet for this study

Summary

Asthma can lead to various factors that impair voice production, including airway restriction, inflammation, and mucus production, resulting in changes in voice frequency and amplitude. Therefore, voice analysis may serve as an indicator of respiratory diseases.

A national, observational, case-control study is planned in Türkiye to analyze differences in voice between healthy subjects and asthmatic patients and to assess voice analysis techniques for determining an effective biomarker for asthma control using a machine learning model.

Conditions

Interventions

OTHER

Recording voice samples

Voice recording with * reading the standard text * repeating the test words * vowel elicitation of 'a' and 'o' vowels for 5-10 seconds

Sponsors & Collaborators

  • Saglik Bilimleri Universitesi

    collaborator OTHER

  • Yedikule Training and Research Hospital

    collaborator OTHER

  • MED-CASE

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-01-09
Primary Completion
2024-08-05
Completion
2025-02-20

Countries

  • Turkey (Türkiye)

Study Locations

More Related Trials

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 NCT06820671 on ClinicalTrials.gov