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Raspberry Pi Driven Flow-Injection System for Electrochemical Continuous Monitoring Platforms

Type of publication Peer-reviewed
Publikationsform Proceedings (peer-reviewed)
Author Bruno Donato, Francesca Stradolini, Abuduwaili Tuoheti, Federico Angiolini, Danilo Demarchi, Giovanni De Micheli, Sandro Carrara,
Project Continuous Monitoring of Anesthetics Concentration to Control Anesthesia Delivery (acronym: CoMofA)
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Proceedings (peer-reviewed)

Title of proceedings IEEE BioCAS Conference
Place Turin
DOI 10.1109/biocas.2017.8325134

Open Access


The degree of interest in bio-sensing platforms brings to the forefront a corresponding need for effective testing of their capabilities. This necessity is even more crucial when examining the properties of a sensor for continuous monitoring of a concentration trend in time, before in vivo implementations. Moreover, in the framework of personalised medical practices, it is imperative to introduce a robust way to represent and parametrise the highly variable responses of human metabolism. The aim of this paper is to propose a novel solution for the design of an automatic flow-injection environment that can assess the performance of systems for continuous monitoring. The setup is also approved for successfully reproducing a paracetamol concentration trend in buffer solution.