Cough detection algorithm for monitoring patient recovery from pulmonary tuberculosis

Brian H. Tracey, Germán Comina, Sandra Larson, Marjory Bravard, José W. López, Robert H. Gilman

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

34 Citas (Scopus)

Resumen

In regions of the world where tuberculosis (TB) poses the greatest disease burden, the lack of access to skilled laboratories is a significant problem. A lab-free method for assessing patient recovery during treatment would be of great benefit, particularly for identifying patients who may have drug-resistant tuberculosis. We hypothesize that cough analysis may provide such a test. In this paper we describe algorithm development in support of a pilot study of TB patient coughing. We describe several approaches to event detection and classification, and show preliminary data which suggest that cough count decreases after the start of treatment in drug-responsive patients. Our eventual goal is development of a low-cost ambulatory cough analysis system that will help identify patients with drug-resistant tuberculosis.

Idioma originalInglés
Título de la publicación alojada33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Páginas6017-6020
Número de páginas4
DOI
EstadoPublicada - 2011
Evento33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, Estados Unidos
Duración: 30 ago. 20113 set. 2011

Serie de la publicación

NombreProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (versión impresa)1557-170X

Conferencia

Conferencia33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
País/TerritorioEstados Unidos
CiudadBoston, MA
Período30/08/113/09/11

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