Date of Award
Spring 2018
Degree Type
Thesis
Department
Biomedical Engineering
Director of Thesis
Hope Holt
First Reader
Kevin Tabury
Second Reader
Kevin Tabury
Abstract
Pulse Oximeters provide a convenient, non-invasive method to quickly gather information about a patient's pulse rate (PR) and arterial blood oxygen saturation (SpO2). Many pulse oximeters lack alert systems that notify caregivers if a patient's readings go outside the healthy range, and pulse oximeters that have these mechanisms are significantly more expensive. This project set out to write a program using LabVIEW that collects pulse oximeter data via Bluetooth and generates an alert when readings persist in the abnormal range for more than fifteen seconds. Due to privacy laws that allow pulse oximeter manufacturers to not disclose the MAC addresses for their devices, a BioRadio was used as an intermediate device to communicate with the program. Ultimately this project serves as a proof of concept for using LabVIEW to code programs that continuously monitor biomedical sensors and generate alerts.
First Page
1
Last Page
24
Recommended Citation
Delehanty, Brian, "Development of Rule-Based Recognition Systems for Continuous Monitorization of Pulse Oximetry" (2018). Senior Theses. 245.
https://scholarcommons.sc.edu/senior_theses/245
Rights
© 2018, Brian Delehanty