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A novel framework based on partial least squares (PLS) and multivariate empirical mode decomposition (MEMD) is proposed to effectively evaluate heart rate from webcam videos captured during illumination changing conditions. The framework takes the assumption that both facial region of interest (ROI) and background ROI have the similar illumination variations and the background ROI can be treated as...
We entered the 10th Annual PhysioNet/Computers in Cardiology Challenge to predict which intensive care patients would experience an acute hypotensive episode (AHE) using physiologic data prior to the occurrence of the AHE. An AHE was defined through mean arterial blood pressure (ABP). We took a pragmatic approach to the Challenge. We explored six basic indices derived from ABP data near the forecast...
Patients recovering from a cardiac surgery need to undergo regular checkups and physical rehabilitation exercises at their local rehabilitation centers. It is time-consuming and not personalized for each individual. Moreover, the stigma and emotional stress of re-visiting the rehabilitation center for some patients may prove to be more debilitating. With increasing pervasiveness of powerful mobile...
We introduce an improved technique for selectively quantifying cardiac sympathetic and parasympathetic nervous function based on the identification of the heart rate (HR) baroreflex impulse response from non-invasive cardio-respiratory measurements. We have tested the technique with respect to 24 humans breathing randomly or spontaneously under selective pharmacological autonomic blockade. Our results...
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