Dialysis Solution Analysis for Infection Prevention

This project has been secured to protect intellectual property.

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. I would like to continue with this project including pursuit of another method that was proposed.

Previous method was the use of Optics to determine the presence of cells in the fluid which would indicate possible infection.
I would like to try use of Smart phone technology involvement especially the camera to detect possible infection.
so project would be development of Device to work in conjunction with a smart phone and it's software ( To be developed as well) to determine the presence of White Blood cells.

Team Picture

Simon Schirber, Amanda Cave, Tanya Iskandar, Kaela Ryan, Bledat Gjinolli

Contact Information

Team Members

Kaela Ryan - Team Leader
Tanya Iskandar - Communicator
Amanda Cave - BSAC
Simon Schirber - BWIG
Bledat Gjinolli - BPAG

Advisor and Client

Prof. Walter Block - Advisor
Dr. Roy Jhagroo - Client

BME Design Projects
Better Health by Design