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Non-contact breathing rate monitoring system based on a Hermite video magnification technique
Author(s): Jorge Brieva; Ernesto Moya-Albor; Orlando Rivas-Scott; Hiram Ponce
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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 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.

Paper Details

Date Published: 21 December 2018
PDF: 7 pages
Proc. SPIE 10975, 14th International Symposium on Medical Information Processing and Analysis, 1097504 (21 December 2018); doi: 10.1117/12.2513608
Show Author Affiliations
Jorge Brieva, Univ. Panamericana (Mexico)
Ernesto Moya-Albor, Univ. Panamericana (Mexico)
Orlando Rivas-Scott, Univ. Panamericana (Mexico)
Hiram Ponce, Univ. Panamericana (Mexico)


Published in SPIE Proceedings Vol. 10975:
14th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva, Editor(s)

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