Cough as Noninvasive Biomarker for Monitoring Tuberculosis Treatment: A Proof-of-Concept Study
Saskia Janssen(Task Applied Science), Thomas Niesler(Stellenbosch University), Ulrika S. H. Simonsson(Uppsala University), Andreas H. Diacon(Task Applied Science), Madhurananda Pahar(University of Sheffield), Caryn M. Upton(Task Applied Science), Veronique de Jager(University Medical Center Groningen), Alan Faraj(Uppsala University), Igor D. S. Miranda(Stellenbosch University)
Cited by 1
Related Papers
COVID-19 cough classification using machine learning and global smartphone recordings
|Computers in Biology and Medicine|2021|296
Mycobactericidal Activity of Sutezolid (PNU-100480) in Sputum (EBA) and Blood (WBA) of Patients with Pulmonary Tuberculosis
|PLoS ONE|2014|165
COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features
|Computers in Biology and Medicine|2021|102
Using biomarkers to predict TB treatment duration (Predict TB): a prospective, randomized, noninferiority, treatment shortening clinical trial
|Gates Open Research|2017|45
Automatic Non-Invasive Cough Detection based on Accelerometer and Audio Signals
|Journal of Signal Processing Systems|2022|28