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Photoplethysmography (PPG) is a widely used technology, routinely employed for heart rate measurement in low-cost medical devices. Monitoring is notoriously more difficult during physical exercise, since motion artifacts may considerably degrade PPG signals. The approach discussed in this paper estimates human heart rate and reliably tracks its charges by a robust algorithm, whose main steps include...
This paper deals with the estimation of the temporal evolution of heart rate (HR), in subjects undertaking physical exercise, using wrist-type photoplethysmographic (PPG) signals. The proposed algorithm employs a zero-padded DFT to provide a raw HR estimate with small frequency granularity and feeds it into a Kalman filter to accurately track HR evolution over time. Furthermore, heuristics are applied...
Recent improvements in microelectrodes technology have enabled neuroscientists to record electrophysiological signals from hundreds of neurons and simultaneously from a large number of channels. However, several environmental factors may introduce noise and artefacts and affect proper interpretation of recordings. Thus, the development of appropriate signal acquisition and processing platforms dealing...
Information and Communication Technology (ICT) evolution is tightly bound to Internet and the evolution of data networks. Nowadays data connection is available everywhere and the traditional voice communications are now a small part of the wide range of services that can be used for communicating (video, desktop sharing, chat, instant messaging). All these services are now easy to use and access from...
Measurement in power systems and, particularly, in smart grids and smart microgrids is often concerned with harmonic analysis of voltage and current waveforms, which can be obtained by Fourier-based algorithms (e.g., phasor measurements, power quality analysis). Any such measurement algorithm is characterized by a fundamental time-frequency resolution tradeoff that relates the sampling frequency and...
Instrumentation supporting the development of cognitive radio systems is faced with challenging requirements. The ability to determine the mutual coordination and timing of primary and secondary sources and generally support troubleshooting requires significant enhancements to the capabilities of a vector signal analyzer. In this context, we introduce and discuss the performances of a modulation detector...
The aim of this work is to create a computerized tridimensional model of the deep fascia, as useful and flexible tool suitable for any histological section's analysis. It allows determinations, also quantitative, of the elements that formed the evaluated tissue, their spatial dispositions and relationships. Every manipulation and elaboration do not necessarily ask an irreversible alteration of the...
A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Bayes net. The quantitative aspects are the net parameters. This paper develops a hybrid criterion for learning Bayes net structures that is based on both aspects. We combine model selection criteria measuring data fit with correlation...
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