Date of Award

12-2016

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Biomedical and Chemical Engineering and Sciences

First Advisor

Mehmet Kaya

Second Advisor

James Brenner

Third Advisor

Scott Benjamin

Fourth Advisor

Ted Conway

Abstract

The measurement of hemoglobin concentration (Hb), oxygen consumption (mL and %), and partial pressure of oxygen inside the lungs are vital parameters in early prediction of respiratory diseases such as sepsis, septic shock, acute respiratory distress syndrome (ARDS) etc. The availability of these parameters in real time can play a crucial role in management of modes and parameters of the ventilators. The real time monitoring of patient’s vital signals in intensive care units can reduce the number of blood tests, time and cost spent inside the intensive care units. The medical conditions such as blood loss from surgery or an injury (i.e. brain hemorrhage or internal/external bleeding), patients in Neonatal Intensive Care Units (NICU), Intensive Care Units (ICU), emergency rooms/urgent cares or patients with any kind of diseases that can cause significantly reduced oxygen carrying capacity often need to be monitored continuously for hemoglobin levels, oxygen saturation, oxygen consumption, and partial pressure of oxygen inside the lungs. A proprietary algorithm was developed for accurate and affordable monitoring of vital parameters.

Comments

Copyright held by author

Download

Share

COinS