Non-contact pulse measurement for use in smart room applications.
Blumenthal, Nicholas R.
Department of Electrical and Computer Engineering
Farag, Aly A.
The past decade has brought about major advances in the realms of both
healthcare and biometrics. New technologies and techniques in the field of biometrics
has allowed for the quick and efficient identification of people, while new healthcare
technologies are allowing for less invasive monitoring of a person’s physiological state
indicators. The combination of these two fields has allowed for a whole new frontier of
science to be explored in the form of smart rooms.
Smart rooms use the fusion of biometrics and healthcare monitoring to provide a
solution to the problem of how best to monitor a patient to ensure their best possible
health, safety, and comfort. This work attempts to push the boundaries of the field by
creating a smart room technology that can provide nonintrusive monitoring of patient
heart rate. This type of room could be used to revolutionize patient monitoring in terms
of both comfort and safety.
In this thesis, the culmination of several technological advances in the Computer
Vision and Image Processing Lab were utilized to develop a methodology for the noncontact
detection of a subject's pulse. The algorithms and methodology employed in this
thesis resulted in a system that was able to identify a subject's pulse with 91.2% accuracy in a partially automated system. This demonstrates the proof of concept and shows a
wide new range of possibilities for the world of medicine and patient monitoring.
Heart rate monitoring; Remote sensing
Electrical engineering; Computer engineering
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