Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation.

Journal: International journal of chronic obstructive pulmonary disease

PMID: 39867993

Abstract

BACKGROUND: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.

Authors

Wolfgang Mayr

Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany.
Andreas Triantafyllopoulos
Anton Batliner

Chair of Health Informatics (CHI), Department of Clinical Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Björn W Schuller

GLAM - the Group on Language, Audio, & Music, Imperial College London, London, United Kingdom.
Thomas M Berghaus

Department of Cardiology, Respiratory Medicine and Intensive Care, University Hospital Augsburg, Augsburg, Germany.

Keywords

Aged Disease Progression Female Functional Status Humans Lung Male Middle Aged Predictive Value of Tests Prognosis Prospective Studies Pulmonary Disease, Chronic Obstructive Reproducibility of Results Respiratory Function Tests Severity of Illness Index Speech Speech Acoustics Speech Production Measurement Support Vector Machine Time Factors Voice Quality

External Resources

View on PubMed Access via DOI PubMed (39867993)

Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals