Abstract
The present application is related with a system (1) and respective method of operation, for controlled and selective sampling of exhaled air from a predetermined part of the respiratory tree. The system (1) is comprised by two attachable modules: a portable sampling device (3) and a hardware module (12), controlled by a machine learning software (16) loaded on a processing device. The technology developed detects and imposes a breathing rhythm to the subject according to its characteristics (age, genre and physiological condition) and to synchronize the subject's breathing cycle with a representative modelled breathing cycle using the machine learning process (16). Then, it is predicted the instants for opening/closing the valve (9) to conduct the selected breath portion into the analyser (17) or collector (18). The system (1) disclosed allows monitoring, diagnosing and assessing medical conditions of the patient, as well as assessing the inflammation degree of the respiratory airways of the subject.
| Original language | English |
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| Patent number | EP3509488 |
| IPC | A61B 5/ 00 A I |
| Priority date | 12/09/16 |
| Filing date | 12/04/19 |
| Publication status | Published - 17 Jul 2019 |