Voice Analysis in Asthmatic Patients With Machine Learning Models
NCT ID: NCT06820671
Last Updated: 2025-05-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
344 participants
OBSERVATIONAL
2024-01-09
2025-02-20
Brief Summary
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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.
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Detailed Description
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The relationship between respiratory functions and speech has been previously studied, revealing that voice changes can occur in asthmatic patients due to symptom presence. 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. Understanding the alterations in phonation/voice due to the underlying disease is crucial.
This study seeks 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.
This is a national, observational, cross-sectional study that will be conducted in Türkiye. The study consists of two stages: in the first stage, a machine learning (ML) model will be developed using voice data collected from both healthy individuals and patients diagnosed with asthma. In the second stage, this ML model will be tested to detect voice differences among patients at different levels of asthma control.
Conditions
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Study Design
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CASE_CONTROL
CROSS_SECTIONAL
Study Groups
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Asthmatic Group
Diagnosed asthma patients Adults aged between 18 and 65 years of age who have been diagnosed with asthma and followed-up for at least 3 months
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
Healthy Group
Healthy participants Adults aged between 18-65 years of age with good general health
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
Interventions
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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
Eligibility Criteria
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Inclusion Criteria
* 18-65 years of age.
* Sign an informed consent document
* Able to comply with the study protocol during the study period.
* Healthy participants between 18-65 years of age
* Good general health
* No history of chronic respiratory disorders
* No history of chronic systemic disorders
* No history of upper respiratory tract infections within five days prior voice recording.
Exclusion Criteria
Healthy Group
* None
18 Years
65 Years
ALL
Yes
Sponsors
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Saglik Bilimleri Universitesi
OTHER
Yedikule Training and Research Hospital
OTHER
MED-CASE
OTHER
Responsible Party
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Locations
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University of Health Sciences Yedikule Chest Diseases and Thoracic Surgery Training And Reseaerch Hospital
Istanbul, , Turkey (Türkiye)
Countries
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Other Identifiers
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Med-ML001
Identifier Type: -
Identifier Source: org_study_id
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