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| Name | Class |
|---|---|
| Excellence Center at Linköping - Lund in Information Technology (ELLIIT) | UNKNOWN |
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The Study aims to identify the changes in voice caused by Chronic Obstructive Pulmonary Disease (COPD) statistically for identifying the potential digital voice biomarkers.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| COPD | 24 COPD participants, 12 Female and 12 Male. |
| |
| HC | 24 HC participants, 12 Female and 12 Male. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Chronic Obstructive Pulmonary Disease (COPD) | Other | The base line acoustic and mel frequency ceprtum coefficients will be analysed statistically between COPD voices and healthy control groups to highlight the correlation between COPD and its effects on voice production. |
| Measure | Description | Time Frame |
|---|---|---|
| Difference in Acoustic Voice Features Between COPD and Healthy Control Participants Difference in Acoustic Voice Features Between COPD and Healthy Control Participants | 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. | 30 weeks |
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Inclusion Criteria:
Exclusion Criteria:
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Data collected from participants 18 years old and older with and without COPD diagnosis will be used. The participants will be balanced on a gender and age basis.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Blekinge Institute of Technology | Karlskrona | Blekinge County | 37179 | Sweden |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41168019 | Derived | Idrisoglu A, Moraes ALD, Cheddad A, Anderberg P, Whitling S, Jakobsson A, Berglund JS. Feature Analysis of the Vowel [a:] in Individuals With Chronic Obstructive Pulmonary Disease and Healthy Controls. J Voice. 2025 Oct 29:S0892-1997(25)00429-1. doi: 10.1016/j.jvoice.2025.10.013. Online ahead of print. |
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Participant data can not be shared due to the GDPR. However, the dataset created can be available upon request from the institution.
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|
| ID | Term |
|---|---|
| D029424 | Pulmonary Disease, Chronic Obstructive |
| ID | Term |
|---|---|
| D008173 | Lung Diseases, Obstructive |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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