Paper
21 December 2018 Non-contact breathing rate monitoring system based on a Hermite video magnification technique
Author Affiliations +
Proceedings Volume 10975, 14th International Symposium on Medical Information Processing and Analysis; 1097504 (2018) https://doi.org/10.1117/12.2513608
Event: 14th International Symposium on Medical Information Processing and Analysis, 2018, Mazatlán, Mexico
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 different 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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jorge Brieva, Ernesto Moya-Albor, Orlando Rivas-Scott, and Hiram Ponce "Non-contact breathing rate monitoring system based on a Hermite video magnification technique", Proc. SPIE 10975, 14th International Symposium on Medical Information Processing and Analysis, 1097504 (21 December 2018); https://doi.org/10.1117/12.2513608
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Video

Image processing

Cameras

Visualization

Motion estimation

Sensors

Spatial frequencies

Back to Top