Analyzing Acoustic Properties of the Vowel "a" Collected Via Mobile Phone From Individuals Diagnosed With Chronic Obstructive Pulmonary Disease and Health Control Groups
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 发起方
- 入组人数
- 48
- 试验地点
- 1
- 主要终点
- Difference in Acoustic Voice Features Between COPD and Healthy Control Participants Difference in Acoustic Voice Features Between COPD and Healthy Control Participants
研究概览
简要总结
The Study aims to identify the changes in voice caused by Chronic Obstructive Pulmonary Disease (COPD) statistically for identifying the potential digital voice biomarkers.
详细描述
1058 voice recordings collected via mobile phones over time in form of the Swedish utterance of vowel "a" will be analysed using vowel quadrilateral space and the Mann-Whitney U test.
The significance threshold p-value will be set to 0.05, and vocal features consisting of 101 base line acoustic features and MFCC features will be analysed between the COPD and HC groups. The most significant features that remain under the significance threshold will be reported.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •being 18 years old and older.
排除标准
- •being under 18 years old and older.
结局指标
主要结局
Difference in Acoustic Voice Features Between COPD and Healthy Control Participants Difference in Acoustic Voice Features Between COPD and Healthy Control Participants
时间窗: 30 weeks
This study assesses differences in baseline acoustic features (e.g., F0, HNR, jitter, shimmer, and formant frequencies), MFCC features (1-13 and derivatives Δ, ΔΔ), and vowel quadrilateral metrics (VSA from F1 and F2 of the sustained vowel 'a') between COPD and healthy controls. Acoustic features are extracted using Parselmouth and Praat, while MFCC features are computed with Librosa. Descriptive statistics (median, mean, std) are calculated, and group differences are tested for significance using the Mann-Whitney U test. Units include median, mean, std for each feature and VSA (Hertz²). Results will include p-values for group comparisons.
次要结局
未报告次要终点