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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.

The project that I would like to propose would be the 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, in pursuit of another method that was proposed: Use of Smart phone technology to detect possible infection.

Team Picture

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

Contact Information

Team Members

  • Austin Evans - Team Leader
  • Thomas Feustel - Communicator
  • Randal Mills - BSAC & BPAG
  • Matthew Knoespel - BWIG

Advisor and Client

  • Prof. John Webster - Advisor
  • Dr. Roy Jhagroo - Client

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