DAOXI – DISPOSITIVO PARA AUTOMAÇÃO DA OXIGENOTERAPIA

• Autor(a) principal: RICKLI, CAMILA
• Data de Publicação: 2021
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações do UNICENTRO
• Texto Completo: http://tede.unicentro.br:8080/jspui/handle/jspui/1846
• topic: Oxigenoterapia; Automação; Biotecnologia; Oxygen Inhalation Therapy; Automation; Biotechnology; CIENCIAS DA SAUDE::FARMACIA

The present study is related to the development of a device that was created to carry out the automated control of the oxygen flow used by individuals who need oxygen suport. Oxygen therapy is used to improve blood oxygenation in patients who have some need for ventilatory support, by offering inhaled oxygen. The device attaches to manual flowmeters found in clinical/hospital settings to control parameters related to oxygen therapy. The Oxygen Therapy Automation Device - DAOXI controls oxygenation through external programming for reading an oximeter and mechanical actuation of the flowmeter. In this prototype, developed using the Internet of Things (IoT), we have a utility model for the automated control of oxygen flow, to control parameters related to oxygen therapy. DAOXI, through a software, performs the automated control and monitoring of the individual's blood oxygenation, making adjustments in the oxygen flow administered according to the desired Target Saturation for each patient. Through a data control and processing center, the device also promotes integration with a platform for recording, managing and analyzing data that allows issuing alerts, generating reports and using specific algorithms for intelligent control. Automated control will then be carried out by monitoring the individual's blood oxygenation and increasing or decreasing the flow of oxygen administered according to the required Target Saturation to be reached for each patient. Through an on-board data processing and control center, the device also has integration with a data recording and analysis platform that allows issuing alerts, generating reports, predicting oxygenation patterns intelligently and using specific algorithms for control. Bench tests were performed with the submission of the device in tests to evaluate the functioning of the algorithm, predicting different configured target saturations, observing the valve actuation and also, maintaining as visual flow feedback, observed in the analog ruler during the tests, comparing with the flow recorded on the device and system as part of the Product Validation process.