Heart Rate and Heart Rate Variability Estimation in the Presence of Motion Artifacts

It appears your Web browser is not configured to display PDF files. Download adobe Acrobat or click here to download the PDF file.

Click here to download the PDF file.

Creator: 

Nikolic-Popovic, Jelena

Date: 

2016

Abstract: 

Vital signs such as heart rate and heart rate variability can be acquired using a variety of equipment, such as ECG, pulse oximeter and even video camera. ECG using wet electrodes is considered the gold standard, but it is not suitable for longterm patient monitoring. Dry electrodes could solve this problem, but the motion of the sensor relative to the skin affects measurements. Noncontact modalities (e.g. heart rate detected from a video of patient’s face) could offer further advancements in patient care, but again motion artifacts, caused by changing illumination conditions, affect measurements. Mainstream processing techniques typically assume ideal conditions and fail under realistic conditions. This thesis pinpoints the failure mechanisms of a few commonly used heart rate estimation methods under realistic conditions and proposes mitigation techniques, hoping to contribute to the effort of increasing adoption rate of modern and convenient sensor technologies for patient care.

Subject: 

Engineering - Biomedical

Language: 

English

Publisher: 

Carleton University

Thesis Degree Name: 

Master of Applied Science: 
M.App.Sc.

Thesis Degree Level: 

Master's

Thesis Degree Discipline: 

Engineering, Biomedical

Parent Collection: 

Theses and Dissertations

Items in CURVE are protected by copyright, with all rights reserved, unless otherwise indicated. They are made available with permission from the author(s).