A5098813293- Chronic Obstructive Pulmonary Disease (COPD) Research
- Non-Invasive Vital Sign Monitoring
- COVID-19 diagnosis using AI
- Air Quality Monitoring and Forecasting
- Bluetooth and Wireless Communication Technologies
- Respiratory and Cough-Related Research
- Voice and Speech Disorders
- Heart Rate Variability and Autonomic Control
Maastricht University Medical Centre
2024
Abstract Background Guidelines recommend opportunistic screening for atrial fibrillation (AF) in high-risk populations, including chronic obstructive pulmonary disease (COPD) patients. Purpose We aimed to assess the feasibility and yield of a photoplethysmography (PPG) smartphone app-based pathway AF detection within COPD outpatient clinic. Methods Ninety-nine eligible patients from clinic at Maastricht University Medical Center+ underwent 14-days PPG screening. PPG-based triggered an...
Voice signals originating from the respiratory tract are utilized as valuable acoustic biomarkers for diagnosis and assessment of diseases. Among employed features, Mel Frequency Cepstral Coefficients (MFCC) is widely used automatic analysis, with MFCC extraction commonly relying on default parameters. However, no comprehensive study has systematically investigated impact parameters disease diagnosis. In this study, we address gap by examining effects key parameters, namely number...