Video-based Patient Monitoring System

Vladimir Kublanov, Konstantin Purtov, Mikhail Kontorovich

2018

Abstract

The paper presents the video-based monitoring system to assess the physiological parameters and patient state in intensive care unit. It allows to measure thoracic and abdominal breathing movements, remote plethysmography signals, tissue perfusion, patient activity and changes in psycho-emotional state. Thus, the system provides a comprehensive assessment of patient state without contact. The system works in usual illumination conditions of intensive care unit and consists of a personal computer with specialized software and two low-cost Logitech C920 webcams with RGB sensors (8 bit per channel), 30 Hz sampling frequency and 640x480 pixel resolution. The webcams were placed at a distance of 80 cm above the patient’s body. The software provides automatic assessment of psychophysiological parameters and determination the following patterns: heart rate, heart rate variability, asystole and arrhythmias, breathing rate, spontaneous breathing recovery, breathing muscle tone and patient consciousness recovery, motor activity and control of ventilation parameters. The proposed system can be used as an additional diagnostic tool of anesthesia equipment for non-invasive patient monitoring in intensive care unit.

Paper Citation

in Harvard Style

Kublanov V., Purtov K. and Kontorovich M. (2018). Video-based Patient Monitoring System. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 2: BIOIMAGING; ISBN 978-989-758-278-3, SciTePress, pages 132-139. DOI: 10.5220/0006598101320139

in Bibtex Style

@conference{bioimaging18,
author={Vladimir Kublanov and Konstantin Purtov and Mikhail Kontorovich},
title={Video-based Patient Monitoring System},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 2: BIOIMAGING},
year={2018},
pages={132-139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006598101320139},
isbn={978-989-758-278-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 2: BIOIMAGING
TI - Video-based Patient Monitoring System
SN - 978-989-758-278-3
AU - Kublanov V.
AU - Purtov K.
AU - Kontorovich M.
PY - 2018
SP - 132
EP - 139
DO - 10.5220/0006598101320139
PB - SciTePress