Towards an autonomous system with exhaled breath separation for cleaner condensed air samples

F. Carlos Pizarro, Cristobal J. Nettle, Oscar F. Araneda, Marcelo Tuesta

Producción científica: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

1 Cita (Scopus)


The acquisition of condensed samples of exhaled air is a well-known noninvasive method for analyzing the healthiness of the lungs. Unlike other invasive methods as induced sputum or bronchoscopy, the condensate collection is faster and non-aggressive. During breathing, it is interesting to fractionate the sample in two differentiated portions as the first exhaled portion comes from a section of the respiratory way known as Dead Space, while the lasting exhaled portion comes from a section known as Alveolar Space. The liquid collected from the Dead Space contains a low-to-none density of biomarkers, which are mainly contained in the Alveolar Space's breathed air. Novel procedures have shown that separating the samples results in a more precise analysis of the state of the patient, improving the collected data for enhancing the current description of associated diseases. Here we describe a novel device and the associated theoretical bases for detecting and separating the exhaled air based on the source area. The implemented system integrates a closed loop for pressure control which operates on a three-ways balloon valve, based on the instantaneous exhaled amount of carbon dioxide following a proven methodology that dynamically fits the expected measured range a patient, providing a reliable cut-off among air spaces. The device, available in an open repository, besides being far less expensive than commercial devices provides a simpler and shorter method for acquiring samples.

Idioma originalInglés
Páginas (desde-hasta)24-30
Número de páginas7
PublicaciónCEUR Workshop Proceedings
EstadoPublicada - 1 ene. 2020
Evento5th Congress on Robotics and Neuroscience, CRoNe 2019 - Valparaiso, Chile
Duración: 27 feb. 202029 feb. 2020

Áreas temáticas de ASJC Scopus

  • Ciencia de la Computación General


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