The study focuses on the design of a control system for the normothermic perfusion device. A preliminary risk analysis identified the main parameters that required an accurate regulation, thus suggesting the introduction of seven digital sensors: two for temperature, three for absolute pressure and two for differential pressure. The locations and connections of the sensors were optimized through the implementation of various construction choices. The design of the control system includes an Arduino Nano, paired with a Raspberry Pi 4. The Arduino controls the reading of the sensors, using the I2C protocol, and drives the system outputs. A high-level software, developed in Qt on Raspberry, monitors the sensors, logs the data and organizes them on a Graphical User Interface. Also, the Raspberry examines the data flow in real time, ensuring immediate intervention in case of need. The same software also allows the user to manage the heating system plates through the touch screen. Simulated clinical tests show that the sensors, associated with the software, provide a correct control of the device. At present, numerous experiments are still underway

Monitoring and control system for a normothermic perfusion device / Eleonora Barcali, Lorenzo Maggi, Martino Falorni, Sara Aquino, Fabio Staderini, Mattia Dimitri, Leonardo Bocchi, Andrea Corvi. - ELETTRONICO. - (In corso di stampa), pp. 1-11.

Monitoring and control system for a normothermic perfusion device

Eleonora Barcali;Lorenzo Maggi;Sara Aquino;Fabio Staderini;Mattia Dimitri;Leonardo Bocchi;Andrea Corvi
In corso di stampa

Abstract

The study focuses on the design of a control system for the normothermic perfusion device. A preliminary risk analysis identified the main parameters that required an accurate regulation, thus suggesting the introduction of seven digital sensors: two for temperature, three for absolute pressure and two for differential pressure. The locations and connections of the sensors were optimized through the implementation of various construction choices. The design of the control system includes an Arduino Nano, paired with a Raspberry Pi 4. The Arduino controls the reading of the sensors, using the I2C protocol, and drives the system outputs. A high-level software, developed in Qt on Raspberry, monitors the sensors, logs the data and organizes them on a Graphical User Interface. Also, the Raspberry examines the data flow in real time, ensuring immediate intervention in case of need. The same software also allows the user to manage the heating system plates through the touch screen. Simulated clinical tests show that the sensors, associated with the software, provide a correct control of the device. At present, numerous experiments are still underway
In corso di stampa
IUPESM World Conference on Medical Physics and Biomedical Engineering (IUPESM_WC2022)
1
11
Eleonora Barcali, Lorenzo Maggi, Martino Falorni, Sara Aquino, Fabio Staderini, Mattia Dimitri, Leonardo Bocchi, Andrea Corvi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1281481
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