Visible Spectrum Based Non-Contact Detection and Characterization of Blood Wave Signal Dynamics and Applications in Stress Detection

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dc.contributor.advisorIkonomidou, Vasiliki N
dc.contributor.authorKaur, Balvinder
dc.creatorKaur, Balvinder
dc.date.accessioned2016-09-28T10:23:52Z
dc.date.available2016-09-28T10:23:52Z
dc.date.issued2016
dc.description.abstractStress is a major health concern that not only compromises our quality of life, but also affects our health and well-being. Despite its importance, our ability to objectively detect and quantify stress in a real-time, non-invasive manner is limited. This capability would have a wide variety of medical, military, and security applications. Under the dissertation research, we have developed a pipeline of image and signal processing algorithms for such a capability, which includes remote blood wave (BW) signal detection based on minor color intensity fluctuations in visible spectrum videos of the human skin during the cardiac cycle, and physiological stress measurements based on the temporal variability in these remotely detected cardiac signals.
dc.format.extent150 pages
dc.identifier.urihttps://hdl.handle.net/1920/10474
dc.language.isoen
dc.rightsCopyright 2016 Balvinder Kaur
dc.subjectElectrical engineering
dc.subjectBiomedical engineering
dc.subjectPhilosophy
dc.subjectNon-contact Blood Wave Detection
dc.subjectNon-contact Differential Pulse Transit Time
dc.subjectNon-contact Heart Rate Variability
dc.subjectNon-contact Stress Detection
dc.subjectVisible Spectrum based Camera
dc.titleVisible Spectrum Based Non-Contact Detection and Characterization of Blood Wave Signal Dynamics and Applications in Stress Detection
dc.typeDissertation
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral

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