Dialysis solution analysis for infection prevention

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Project Overview

Patients receiving peritoneal dialysis are trained to detect infection. The standard method requires the patients to inspect a small amount of fluid that has been drained out in a small transparent container. The patients are looking for a change in transparency of the fluid as this would suggest infection. This method has limitations for those with visual problems as well as the relative change can be misleading.

This project is development of a device to aid in the detection of a change in the transparency for these patients. The poor detection of change for many patients has resulted in infection, hospitalization, loss of ability to do dialysis and even death.

This is a continuation project from last semester, further testing the prototype previously designed in a clinical setting to validate its usefulness.

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Team picture

Team members from left to right: Thomas Feustel, Matthew Knoespel, Randal Mills, Austin Evans

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Team Members

Advisor and Client

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