Masters Theses
Date of Award
12-2020
Degree Type
Thesis
Degree Name
Master of Science
Major
Mechanical Engineering
Major Professor
Xiaopeng Zhao
Committee Members
Xiaopeng Zhao, Tami H. Wyatt, Jeffrey A. Reinbolt
Abstract
The objective of this project was to develop a wireless, noncontact monitoring system that measures multiple physiological parameters in human faces from a distance using a camera. Compared to traditional sensors, this monitoring system does not use wires or adhesives, providing a safer, more user-friendly application. The goal of the monitoring systems was to estimate heart rate (HR). The current practices of measuring HR involve collecting electrocardiogram (ECG) signals from adhesive electrodes placed on various parts of the body and using a pulse oximeter (PO) typically placed on the ear lobe or finger. We were able to successfully create 2 monitoring systems and compare their results to the PO. Both monitoring systems are low-cost at less than $200. Neither system has been shown to exist in literature thus making them novel implementations. After analysis, we found the estimated HR from one of the systems to be not significantly different from the PO readings. In conclusion, we were able to estimate HR from a distance using a camera-based system which can have many useful applications, potentially in the Neonatal ICU and in other home health settings.
Recommended Citation
Sweely, Benjamin, "Camera-Based Remote Photoplethysmography for Estimation of Heart Rate using Single Board Computers. " Master's Thesis, University of Tennessee, 2020.
https://trace.tennessee.edu/utk_gradthes/5859
Included in
Biomedical Commons, Biomedical Devices and Instrumentation Commons, Signal Processing Commons