Creating and Assessing a Voice Dataset for Automated Classification of Chronic Obstructive Pulmonary Disease

Chronic Obstructive Pulmonary Disease Clinical Trial

Official title:

Creating and Assessing a Voice Dataset for Automated Classification of Chronic Obstructive Pulmonary Disease

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT05897944
• Other study ID #: BTH-6.1.1-0074-2023
• Status: Active, not recruiting
• Start date: December 16, 2021
• Est. completion date: December 30, 2023

Study information

• Verified date: June 2023
• Source: Blekinge Institute of Technology
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

This work aims to evaluate whether voice recordings collected from patients diagnosed with COPD and healthy control groups can be used to detect the disease using machine learning techniques.

Description:

Voice data and sociodemographic data on gender and age will be collected through the "VoiceDiganostic" application from the company Voice Diagnostic, which allows one to participate without location dependency. Participants with a diagnosis will be marked as the COPD group, and others will be marked as the healthy control group. Private information such as known comorbidities, personal security numbers, health parameters and communication information will be separately noticed in a participation table for each group.

The collected data will be transformed into mathematical vocal measures called voice features. A dataset consisting of voice features in conjunction with demographics and health data will be constructed for further usage as an input to ML techniques.

Descriptive statistical analysis will be held on attributes containing information on input data and gained outcomes from ML algorithms. The achieved results will be presented in the form of summary tables and graphs.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 72
• Est. completion date: December 30, 2023
• Est. primary completion date: May 16, 2023
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• being 18 years old and older.

Exclusion Criteria:

• being under 18 years old.

Related Conditions & MeSH terms

• Chronic Obstructive Pulmonary Disease
• Lung Diseases
• Lung Diseases, Obstructive
• Pulmonary Disease, Chronic Obstructive

Intervention

Other:
• COPD
A data set consisting of information from COPD and HC groups will be used to experiment with the classification performance of several Machine Learning techniques.

Locations

Country	Name	City	State
Sweden	Blekinge Institute of Technology	Karlskrona	Blekinge

Sponsors (2)

Lead Sponsor	Collaborator
Blekinge Institute of Technology	Excellence Center at Linköping - Lund in Information Technology (ELLIIT)

Country where clinical trial is conducted

Sweden, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Accuracy	Binary detection performance of the ML algorithm	Week 51
Primary	Input data importance scale	Features used as input data will be ranked from most important to less important one.	Week 51