Voice; Signal decomposition; Artificial intelligence; Vocal biomarker; COVID-19; Smart home
Résumé :
[en] Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which can then alter an individual’s voice. Therefore, voice analysis using artificial intelligence opens new opportunities for healthcare. From using vocal biomarkers for diagnosis, risk prediction, and remote monitoring of various clinical outcomes and symptoms, we offer in this review an overview of the various applications of voice for health-related purposes. We discuss the potential of this rapidly evolving environment from a research, patient, and clinical perspective. We also discuss the key challenges to overcome in the near future for a substantial and efficient use of voice in healthcare.
Disciplines :
Sciences de la santé humaine: Multidisciplinaire, généralités & autres
Auteur, co-auteur :
FAGHERAZZI, Guy ; Luxembourg Institute of Health - LIH > Deep Digital Phenotyping Research Unit, Department of Population Health
Fischer, Aurelie; Luxembourg Institute of Health - LIH > Deep Digital Phenotyping Research Unit, Department of Population Health
Ismael, Muhannad; Luxembourg Institute of Science & Technology - LIST > IT for Innovation in Services Department (ITIS)
DESPOTOVIC, Vladimir ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice
