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This paper reports initial results from our study on the use of non-invasive proximal and distal arterial waveforms to estimate cardiovascular risk predictors while minimizing patient discomfort. We used a pressure wave decomposition technique on carotid tonometry and ankle cuff oscillation waveforms so as to estimate pulse transit time, reflection magnitude and reflection index. We showed that the...
In this paper, we propose signal-centric predictive medium access control algorithms for machine-to-machine communications. In particular, the proposed signal-centric predictive algorithms exploit temporal correlations among sensing results to reduce the total prediction error at the base station. We propose polling algorithms for optimal performance and distributed algorithms for scalability. In...
There is a common belief that much of the licensed bands lies idle at any given time and location in wireless communications. In the case of high spectrum utilization, it is very vital to find out those spare bands for providing a better chance of opportunistic access in spectrum scarcity environment. In this paper, a novel algorithm based on gradient operators is proposed, which will be used to preprocess...
The objective of this study is to evaluate a method that could be used in real-time arterial compliance estimation while measure blood pressure noninvasively. The noninvasive pressure waveform at carotid artery and pressure volume relation (PVR) at brachial artery were first evaluated to assert the consistency of compliance calculation. The arterial pressure waveform was acquired using oscillometric...
A vector polygon blind watermarking algorithm based on canonical correlation analysis (CCA) is proposed for protecting the copyright of vector polygon. In embedding, vertices of a polygon are separated into two groups according to odd-even properties of their indexes. CCA is carried out on the two vertex groups to get canonical variables. The absolute value of canonical variables is proved to be affine...
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