Contactless Heart Rate Measurement using Image Processing

Gaganjot Kaur; Jeff Kilby

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Paper

Contactless Heart Rate Measurement using Image Processing

Topics: Cardiovascular Signals

In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSTEC, 111-116, 2022

Authors: Gaganjot Kaur and Jeff Kilby

Affiliation: Department of Electrical and Electronic Engineering, Auckland University of Technology, City Campus, Auckland, New Zealand

Keyword(s): Heart Rate (HR), Spatial and Temporal Processing.

Abstract: Non-contact methods of determining the human body’s heart rate are of interest for clinical use. This research used a video magnification technique on the individual frames from a 15-second video taken using a digital single-lens reflex (DSLR) camera at 30 frames per second. It was possible to determine the heart rate beats per minute by extracting the green spectrum from a region of interest information from the video frames. In this paper, three methods are presented using this colour change between the frames transform as a signal to find the heart rate. While capturing the video’s using the camera, a commercially available pulse oximeter was used to obtain the pulse rate from the participant’s finger to validate the values calculated from the image processing techniques presented. The results show that it is possible to get a heart rate in terms of pulse rate reading using a camera and the developed MATLAB code.

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Paper citation in several formats:

Kaur, G. and Kilby, J. (2022). Contactless Heart Rate Measurement using Image Processing. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOSIGNALS; ISBN 978-989-758-552-4; ISSN 2184-4305, SciTePress, pages 111-116. DOI: 10.5220/0010761400003123

@conference{biosignals22,
author={Gaganjot Kaur. and Jeff Kilby.},
title={Contactless Heart Rate Measurement using Image Processing},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOSIGNALS},
year={2022},
pages={111-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010761400003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - BIOSIGNALS
TI - Contactless Heart Rate Measurement using Image Processing
SN - 978-989-758-552-4
IS - 2184-4305
AU - Kaur, G.
AU - Kilby, J.
PY - 2022
SP - 111
EP - 116
DO - 10.5220/0010761400003123
PB - SciTePress