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The world's expanding and aging population has created a demand for inexpensive, unobtrusive, automated healthcare solutions. Eulerian Video Magnification (EVM) aids in the development of these solutions by allowing for the extraction of physiological signals from video data. This paper examines the potential of thermal video in conjunction with EVM to extract physiological measures, particularly...
Remote Patient Monitoring (RPM) systems will play an important role in the future of healthcare. They will be used to monitor chronic conditions, but may also be employed to detect acute medical conditions and generate alarms in real-time. This real-time responsiveness is a critical design criterion for acute condition detection. The data rate of each sensor represents a hard real-time threshold;...
Proliferation of wearable devices and the “quantified self” behavior creates massive amounts of data acquired from physiological sensors. Unfortunately this vast amount of data is to date largely untapped for clinical purposes because of low data reliability caused by issues such as contact noise and motion artifacts. One important physiological signal is ECG and one of its important features is the...
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