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

doi:10.1109/IEMBS.2011.6091487

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

Medicina humana

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

45 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 original	Inglés
Título de la publicación alojada	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Páginas	6017-6020
Número de páginas	4
DOI	https://doi.org/10.1109/IEMBS.2011.6091487
Estado	Publicada - 2011
Evento	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, Estados Unidos Duración: 30 ago. 2011 → 3 set. 2011

Serie de la publicación

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

Conferencia

Conferencia	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
País/Territorio	Estados Unidos
Ciudad	Boston, MA
Período	30/08/11 → 3/09/11

ODS de las Naciones Unidas

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10.1109/IEMBS.2011.6091487

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Tracey, B. H., Comina, G., Larson, S., Bravard, M., López, J. W., & Gilman, R. H. (2011). Cough detection algorithm for monitoring patient recovery from pulmonary tuberculosis. En 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 6017-6020). Artículo 6091487 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/IEMBS.2011.6091487

Tracey, Brian H. ; Comina, Germán ; Larson, Sandra et al. / Cough detection algorithm for monitoring patient recovery from pulmonary tuberculosis. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. pp. 6017-6020 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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title = "Cough detection algorithm for monitoring patient recovery from pulmonary tuberculosis",

abstract = "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.",

author = "Tracey, {Brian H.} and Germ{\'a}n Comina and Sandra Larson and Marjory Bravard and L{\'o}pez, {Jos{\'e} W.} and Gilman, {Robert H.}",

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Tracey, BH, Comina, G, Larson, S, Bravard, M, López, JW & Gilman, RH 2011, Cough detection algorithm for monitoring patient recovery from pulmonary tuberculosis. En 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011., 6091487, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 6017-6020, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, Estados Unidos, 30/08/11. https://doi.org/10.1109/IEMBS.2011.6091487

Cough detection algorithm for monitoring patient recovery from pulmonary tuberculosis. / Tracey, Brian H.; Comina, Germán; Larson, Sandra et al.
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 6017-6020 6091487 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - Cough detection algorithm for monitoring patient recovery from pulmonary tuberculosis

AU - Tracey, Brian H.

AU - Comina, Germán

AU - Larson, Sandra

AU - Bravard, Marjory

AU - López, José W.

AU - Gilman, Robert H.

PY - 2011

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AB - 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.

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Tracey BH, Comina G, Larson S, Bravard M, López JW, Gilman RH. Cough detection algorithm for monitoring patient recovery from pulmonary tuberculosis. En 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 6017-6020. 6091487. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/IEMBS.2011.6091487

Cough detection algorithm for monitoring patient recovery from pulmonary tuberculosis

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