19 research outputs found

    Weighted bi-prediction for light field image coding

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    Light field imaging based on a single-tier camera equipped with a microlens array – also known as integral, holoscopic, and plenoptic imaging – has currently risen up as a practical and prospective approach for future visual applications and services. However, successfully deploying actual light field imaging applications and services will require developing adequate coding solutions to efficiently handle the massive amount of data involved in these systems. In this context, self-similarity compensated prediction is a non-local spatial prediction scheme based on block matching that has been shown to achieve high efficiency for light field image coding based on the High Efficiency Video Coding (HEVC) standard. As previously shown by the authors, this is possible by simply averaging two predictor blocks that are jointly estimated from a causal search window in the current frame itself, referred to as self-similarity bi-prediction. However, theoretical analyses for motion compensated bi-prediction have suggested that it is still possible to achieve further rate-distortion performance improvements by adaptively estimating the weighting coefficients of the two predictor blocks. Therefore, this paper presents a comprehensive study of the rate-distortion performance for HEVC-based light field image coding when using different sets of weighting coefficients for self-similarity bi-prediction. Experimental results demonstrate that it is possible to extend the previous theoretical conclusions to light field image coding and show that the proposed adaptive weighting coefficient selection leads to up to 5 % of bit savings compared to the previous self-similarity bi-prediction scheme.info:eu-repo/semantics/acceptedVersio

    Autonomic pain responses during sleep: a study of heart rate variability

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    The autonomic nervous system (ANS) reacts to nociceptive stimulation during sleep, but whether this reaction is contingent to cortical arousal, and whether one of the autonomic arms (sympathetic/parasympathetic) predominates over the other remains unknown. We assessed ANS reactivity to nociceptive stimulation during all sleep stages through heart rate variability, and correlated the results with the presence of cortical arousal measured in concomitant 32-channel EEG. Fourteen healthy volunteers underwent whole-night polysomnography during which nociceptive laser stimuli were applied over the hand. RR intervals (RR) and spectral analysis by wavelet transform were performed to assess parasympathetic (HF(WV)) and sympathetic (LF(WV) and LF(WV)/HF(WV) ratio) reactivity. During all sleep stages, RR significantly decreased in reaction to nociceptive stimulations, reaching a level similar to that of wakefulness, at the 3rd beat post-stimulus and returning to baseline after seven beats. This RR decrease was associated with an increase in sympathetic LF(WV) and LF(WV)/HF(WV) ratio without any parasympathetic HF(WV) change. Albeit RR decrease existed even in the absence of arousals, it was significantly higher when an arousal followed the noxious stimulus. These results suggest that the sympathetic-dependent cardiac activation induced by nociceptive stimuli is modulated by a sleep dependent phenomenon related to cortical activation and not by sleep itself, since it reaches a same intensity whatever the state of vigilance

    On the influence of time-series length in EMD to extract frequency content : simulations and models in biomedical signals

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    In this paper, fractional Gaussian noise (fGn) was used to simulate a homogeneously spreading broadband signal without any dominant frequency band, and to perform a simulation study about the influence of time-series length in the number of intrinsic mode functions (IMFs) obtained after empirical mode decomposition (EMD). In this context three models are presented. The first two models depend on the Hurst exponent H, and the last one is designed for small data lengths, in which the number of IMFs after EMD is obtained based on the regularity of the signal, and depends on an index measure of regularity. These models contribute to a better understanding of the EMD decomposition through the evaluation of its performance in fGn signals. Since an analytical formulation to evaluate the EMD performance is not available, using well-known signals allows for a better insight into the process. The last model presented is meant for application to real data. Its purpose is to predict, in function of the regularity signal, the time-series length that should be used when one wants to divide the spectrum into a pre-determined number of modes, corresponding to different frequency bands, using EMD. This is the case, e.g., in heart rate and blood pressure signals, used to assess sympathovagal balance in the central nervous system.info:eu-repo/semantics/publishedVersio

    Variantes genéticas pró-trombóticas com (improváveis?) factores de risco para as grandes crises vaso-oclusivas na drepanocitose

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    CONTEXTO: A drepanocitose é uma anemia hemolítica hereditária com características pró-adesivas, pró-inflamatórias e pró-coagulantes, incluindo alterações na hemostase e activação da cascata da coagulação. PLANO DO ESTUDO: Neste estudo analisaram-se, em 140 drepanocíticos africanos e 126 indivíduos sem hemoglobina S também de origem africana, variantes genéticas polimórficas em quatro loci envolvidos na coagulação (F2 20210G>A e F5 R506Q), na fibrinólise (PAI-1 5G>4G), ou no metabolismo da homocisteína (MTHFR 677C>T). Estratificaram-se os pacientes em dois grupos de acordo com a ocorrência ou não de, pelo menos, uma complicação vaso-oclusiva (CVO) grave até à data da sua participação no estudo. RESULTADOS: Não se observou uma associação estatisticamente significativa entre a ocorrência de uma CVO grave e a herança do alelo predisponente à trombose, 4G no locus PAI-1 ou 677T no locus MTHFR. Nenhum drepanocítico apresentava os alelos F2 20210A ou F5 506Q (factor V Leiden). Visando excluir a possibilidade de que genuínas diferenças inter-grupos fossem mascaradas pela presença de indivíduos mais jovens no grupo sem-CVO, dividiu-se este num sub-grupo de pacientes mais novos e num sub-grupo de pacientes cuja idade não diferia significativamente do grupo com-CVO grave. Mesmo assim, não foi encontrada associação significativa. No entanto, pode observar-se, no grupo de doentes com o alelo PAI-1 4G (cuja expressão resulta numa diminuição da actividade fibrinolítica), uma tendência (OR=1,6) para um risco acrescido de CVO. Esta tendência era ligeiramente maior (OR=2,1) se se considerasse apenas a CVO síndrome torácica aguda. CONCLUSÕES: O alelo 4G no promotor do PAI-1 poderá ser um factor de risco para CVO na drepanocitose, uma hipótese a testar numa série maior de doentes, idealmente oriunda de uma população homogénea e com alta prevalência de drepanocitose
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