Fusion of Non-Contacting Sensors and Vital Parameter Extraction Using Kalman Filtering
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چکیده
This paper describes the implementation of a Kalman Filter to separate heart rate and respiratory activity out of a signal that has been acquired by three different sensors in parallel. The different techniques of sensor fusion, signal extraction and signal shaping are merged into one single state space model. It can be demonstrated, assuming sine shaped signals for heart and breathing activity, that the processing performs well when the heart and breathing rate are approximately estimated. In addition, real-time processing ability has been evaluated and achieved.
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تاریخ انتشار 2011