Paper
17 November 2017 Phase-based motion magnification video for monitoring of vital signals using the Hermite transform
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Proceedings Volume 10572, 13th International Conference on Medical Information Processing and Analysis; 105720M (2017) https://doi.org/10.1117/12.2285959
Event: 13th International Symposium on Medical Information Processing and Analysis, 2017, San Andres Island, Colombia
Abstract
In this paper we present a new Eulerian phase-based motion magnification technique using the Hermite Transform (HT) decomposition that is inspired in the Human Vision System (HVS). We test our method in one sequence of the breathing of a newborn baby and on a video sequence that shows the heartbeat on the wrist. We detect and magnify the heart pulse applying our technique. Our motion magnification approach is compared to the Laplacian phase based approach by means of quantitative metrics (based on the RMS error and the Fourier transform) to measure the quality of both reconstruction and magnification. In addition a noise robustness analysis is performed for the two methods.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jorge Brieva and Ernesto Moya-Albor "Phase-based motion magnification video for monitoring of vital signals using the Hermite transform", Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 105720M (17 November 2017); https://doi.org/10.1117/12.2285959
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Cited by 6 scholarly publications.
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KEYWORDS
Video

Digital filtering

Image filtering

Heart

Optical filters

Electronic filtering

Fourier transforms

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