Robust Remote Heart Rate Determination for E-Rehabilitation - A Method that Overcomes Motion and Intensity Artefacts

Christian Wiede, Jingting Sun, Julia Richter, Gangolf Hirtz

2018

Abstract

Due to an increasing demand for post-surgical rehabilitations, the need for e-rehabilitation is continuously rising. At this point, a continuous monitoring of vital parameters, such as the heart rate, could improve the efficiency assessment of training exercises by measuring a patient’s physical condition. This study proposes a robust method to remotely determine a person’s heart rate with an RGB camera. In this approach, we used an individual and situation depending skin colour determination in combination with an accurate tracking. Furthermore, our method was evaluated by means of twelve different scenarios with 117 videos. Altogether, the results show that this method performed accurately and robustly for e-rehabilitation applications.

Paper Citation

in Harvard Style

Wiede C., Sun J., Richter J. and Hirtz G. (2018). Robust Remote Heart Rate Determination for E-Rehabilitation - A Method that Overcomes Motion and Intensity Artefacts. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP; ISBN 978-989-758-290-5, SciTePress, pages 491-500. DOI: 10.5220/0006537504910500

in Bibtex Style

@conference{visapp18,
author={Christian Wiede and Jingting Sun and Julia Richter and Gangolf Hirtz},
title={Robust Remote Heart Rate Determination for E-Rehabilitation - A Method that Overcomes Motion and Intensity Artefacts},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP},
year={2018},
pages={491-500},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006537504910500},
isbn={978-989-758-290-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP
TI - Robust Remote Heart Rate Determination for E-Rehabilitation - A Method that Overcomes Motion and Intensity Artefacts
SN - 978-989-758-290-5
AU - Wiede C.
AU - Sun J.
AU - Richter J.
AU - Hirtz G.
PY - 2018
SP - 491
EP - 500
DO - 10.5220/0006537504910500
PB - SciTePress