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Evaluation of sleep quality from infrared video
Rathan, Dominik ; Šorel, Michal (advisor) ; Zitová, Barbara (referee)
Measuring the quality of sleep is commonly realized through polysomnography, a reliable yet complicated sleep study that takes place in a sleep laboratory. The goal of this work was to develop a desktop application that would provide tools for sleep quality evaluation, based on a video recording taken in a patient's home environment using a camera with infrared vision. A motion detection algorithm based on the frame difference method was implemented, in order to assemble a graph of the patient's motion activity throughout his sleep, which was then used to approximate lengths of intervals of sleep and wakefulness and the values of basic sleep variables. It made sense to also investigate factors that could have impact on the patient's sleep quality, like the amount of light that the patient is exposed to during his sleep. Multiple algorithms for analysis of the (relative) amount of illuminance from the video recording are presented, based on modeling the lightning in the room, subspace analysis and matrix factorization. Results of these methods were verified by an experiment, and some of them can be considered reliable. 1
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