Non-contact breathing rate monitoring system based on a Hermite video magnification technique
Journal
14th International Symposium on Medical Information Processing and Analysis
Date Issued
2018
Author(s)
Type
text::conference output::conference proceedings::conference paper
Abstract
In this paper we present a new non-contact strategy to estimate the breathing rate based on the Eulerian motion magnification technique and a system based on di€erent images processing steps. After the magnification procedure, a ROI is selected manually, an enhancement algorithm based on an adaptive histogram equalization is applied and finally the frames are binarized using the Otsu algorithm. Morphological operations are carry out on the video frames and a tracking temporal strategy is implemented to estimate the breathing rate. The magnification procedure was carried out using an Hermite decomposition. We have tested the method on three subjects in four positions (seat, lying face down, lying face up and lying in fetal position). The motion magnification approach is compared to the Laplacian decomposition strategy computing the mean absolute error. © SPIE. Downloading of the abstract is permitted for personal use only.
How to cite
Brieva, J., Moya-Albor, E., Rivas-Scott, O., & Ponce, H. (2018). Non-contact breathing rate monitoring system based on a Hermite video magnification technique. Proceedings Of SPIE - The International Society For Optical Engineering, 10975, 1097504. https://doi.org/10.1117/12.2513608