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  4. Raspberry Pi Driven Flow-Injection System for Electrochemical Continuous Monitoring Platforms
 
conference paper

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

Donato, Bruno
•
Stradolini, Francesca  
•
Tuoheti, Abuduwaili  
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2017
Proceedings of the IEEE Biomedical Circuits and Systems Conference (BioCAS)
IEEE Biomedical Circuits and Systems Conference (BioCAS)

Nowadays, there is an immense interest regarding new bio-sensing technologies, highlighting the need for effective validation of their capabilities. This necessity is more crucial when examining the proprieties of a sensor for continuous monitoring of a concentration trend in time, before in vivo implementations. In the framework of personalised medicine, it is imperative to introduce a robust way to parametrise the highly variable responses of human metabolism. We propose a novel solution for the design of an automatic flow-injection environment that validates continuous monitoring systems performances. The setup is also validated for reproducing a paracetamol concentration trend in buffer solution.

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