Sterblichkeit während Grippeepidemien in der Schweiz 1969-1985. [Mortality in influenza epidemics in Switzerland 1969-1985].

In Switzerland from 1969-1985, 9 out of 11 influenza epidemics were associated with a statistically significant increase in mortality. A total of 12,202 excess deaths from all causes was identified. Expected deaths were forecast for each epidemic period separately for 4 age groups using Fourier and Arima modeling. 75.7% of all-cause excess deaths occurred in age group 70 to 89 and 5.1% in age group 1-59. In the 70-89 years old group the excess mortality risk during influenza epidemics was 271.6 per 100,000, whereas in age group 1-59 it was only 1.7 per 100,000. Only 40% of all excess deaths had been ascribed to acute respiratory conditions. Influenza viruses A H3N2 were the most frequently identified agents. In some instances mortality increased before the morbidity reports of the Swiss practitioners indicated the occurrence of an epidemic. Also, morbidity reporting decreased over successive years. A decrease in mortality following the epidemics was not observed. A more complete vaccination of high risk patients in Switzerland is desirable.

Marcinkiewicz-Zygmund inequalities

We study a generalization of the classical Marcinkiewicz-Zygmund inequalities. We relate this problem to the sampling sequences in the Paley-Wiener space and by using this analogy we give sharp necessary and sufficient computable conditions for a family of points to satisfy the Marcinkiewicz-Zygmund inequalities.

A lower bound in Nehari's theorem on the polydisc

By theorems of Ferguson and Lacey ($d=2$) and Lacey and Terwilleger ($d>2$), Nehari's theorem is known to hold on the polydisc $\D^d$ for $d>1$, i.e., if $H_\psi$ is a bounded Hankel form on $H^2(\D^d)$ with analytic symbol $\psi$, then there is a function $\varphi$ in $L^\infty(\T^d)$ such that $\psi$ is the Riesz projection of $\varphi$. A method proposed in Helson's last paper is used to show that the constant $C_d$ in the estimate $\|\varphi\|_\infty\le C_d \|H_\psi\|$ grows at least exponentially with $d$; it follows that there is no analogue of Nehari's theorem on the infinite-dimensional polydisc.

Deformation of Gabor systems

We introduce a new notion for the deformation of Gabor systems. Such deformations are in general nonlinear and, in particular, include the standard jitter error and linear deformations of phase space. With this new notion we prove a strong deformation result for Gabor frames and Gabor Riesz sequences that covers the known perturbation and deformation results. Our proof of the deformation theorem requires a new characterization of Gabor frames and Gabor Riesz sequences. It is in the style of Beurling's characterization of sets of sampling for bandlimited functions and extends significantly the known characterization of Gabor frames 'without inequalities' from lattices to non-uniform sets.

Detection of patients with functional dyspepsia using wavelet transform applied to their electrogastrogram

The aim of the present study was to develop a classifier able to discriminate between healthy controls and dyspeptic patients by analysis of their electrogastrograms. Fifty-six electrogastrograms were analyzed, corresponding to 42 dyspeptic patients and 14 healthy controls. The original signals were subsampled, filtered and divided into the pre-, post-, and prandial stages. A time-frequency transformation based on wavelets was used to extract the signal characteristics, and a special selection procedure based on correlation was used to reduce their number. The analysis was carried out by evaluating different neural network structures to classify the wavelet coefficients into two groups (healthy subjects and dyspeptic patients). The optimization process of the classifier led to a linear model. A dimension reduction that resulted in only 25% of uncorrelated electrogastrogram characteristics gave 24 inputs for the classifier. The prandial stage gave the most significant results. Under these conditions, the classifier achieved 78.6% sensitivity, 92.9% specificity, and an error of 17.9 ± 6% (with a 95% confidence level). These data show that it is possible to establish significant differences between patients and normal controls when time-frequency characteristics are extracted from an electrogastrogram, with an adequate component reduction, outperforming the results obtained with classical Fourier analysis. These findings can contribute to increasing our understanding of the pathophysiological mechanisms involved in functional dyspepsia and perhaps to improving the pharmacological treatment of functional dyspeptic patients.

Organisation rétinotopique des structures visuelles révélée par imagerie optique cérébrale chez le rat normal

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

Stabilité instrumentale en neuro imagerie fonctionnelle et structurelle

Dans ce mémoire, nous décrivons le travail effectué pour étendre nos connaissances sur les sources d’instabilité instrumentales en imagerie de résonance magnétique, en particulier dans le domaine anatomique par une étude où cinq adultes ont été scannés quatre fois dans la même plate-forme IRM, deux fois avant et deux fois après une mise à niveau importante d’un scanner 3T de Siemens. Les volumes de l’hippocampe droit et gauche de chaque sujet ont été mesurés avec une segmentation manuelle. Nous avons analysé la fiabilité test-retest avant et après la mise à niveau du système d’IRM. Dans le domaine fonctionnel, cinq adultes ont été scannés quatre fois dans la même plate forme IRM deux fois avant et deux fois après la même mise à niveau du scanneur. Les acquisitions du signal BOLD sont faites dans deux différentes résolutions spatiales (2x2x2mm et 4x4x4mm) pour évaluer la sensibilité du signal BOLD sous conditions de haute et basse SNR. Une dernière étude fonctionnelle sur fantôme avait pour but d’étudier la stabilité de la machine pour les images fonctionnelles et détecter les sources de bruit de type machine. La séquence EPI (Echo Planar Imaging) d’écho de gradient à deux dimensions a été utilisée. Des analyses comme le pourcentage des fluctuations et l’analyse de Fourier des résidus ont également été réalisées. Nous résultats indiquent que les différences dans le matériel provenant d’une importante mise à niveau ne peuvent pas compromettre la validité des études structurelles et fonctionnelles faites à travers la mise à niveau du scanneur. Les acquisitions quotidiennes ont permis de suivre l’évolution de la stabilité et de détecter toute source de bruit qui peut détériorer la détection des activations dans les images fonctionnelles.

Theory and numerical integration of subsurface light transport

En synthèse d’images, reproduire les effets complexes de la lumière sur des matériaux transluminescents, tels que la cire, le marbre ou la peau, contribue grandement au réalisme d’une image. Malheureusement, ce réalisme supplémentaire est couteux en temps de calcul. Les modèles basés sur la théorie de la diffusion visent à réduire ce coût en simulant le comportement physique du transport de la lumière sous surfacique tout en imposant des contraintes de variation sur la lumière incidente et sortante. Une composante importante de ces modèles est leur application à évaluer hiérarchiquement l’intégrale numérique de l’illumination sur la surface d’un objet. Cette thèse révise en premier lieu la littérature actuelle sur la simulation réaliste de la transluminescence, avant d’investiguer plus en profondeur leur application et les extensions des modèles de diffusion en synthèse d’images. Ainsi, nous proposons et évaluons une nouvelle technique d’intégration numérique hiérarchique utilisant une nouvelle analyse fréquentielle de la lumière sortante et incidente pour adapter efficacement le taux d’échantillonnage pendant l’intégration. Nous appliquons cette théorie à plusieurs modèles qui correspondent à l’état de l’art en diffusion, octroyant une amélioration possible à leur efficacité et précision.

Empirical mode decomposition: a novel technique for the study of tremor time series

Tremor is a clinical feature characterized by oscillations of a part of the body. The detection and study of tremor is an important step in investigations seeking to explain underlying control strategies of the central nervous system under natural (or physiological) and pathological conditions. It is well established that tremorous activity is composed of deterministic and stochastic components. For this reason, the use of digital signal processing techniques (DSP) which take into account the nonlinearity and nonstationarity of such signals may bring new information into the signal analysis which is often obscured by traditional linear techniques (e.g. Fourier analysis). In this context, this paper introduces the application of the empirical mode decomposition (EMD) and Hilbert spectrum (HS), which are relatively new DSP techniques for the analysis of nonlinear and nonstationary time-series, for the study of tremor. Our results, obtained from the analysis of experimental signals collected from 31 patients with different neurological conditions, showed that the EMD could automatically decompose acquired signals into basic components, called intrinsic mode functions (IMFs), representing tremorous and voluntary activity. The identification of a physical meaning for IMFs in the context of tremor analysis suggests an alternative and new way of detecting tremorous activity. These results may be relevant for those applications requiring automatic detection of tremor. Furthermore, the energy of IMFs was visualized as a function of time and frequency by means of the HS. This analysis showed that the variation of energy of tremorous and voluntary activity could be distinguished and characterized on the HS. Such results may be relevant for those applications aiming to identify neurological disorders. In general, both the HS and EMD demonstrated to be very useful to perform objective analysis of any kind of tremor and can therefore be potentially used to perform functional assessment.

(Non)differentiability and asymptotics for potential densities of subordinators

For subordinators with positive drift we extend recent results on the structure of the potential measures and the renewal densities. Applying Fourier analysis a new representation of the potential densities is derived from which we deduce asymptotic results and show how the atoms of the Lévy measure translate into points of (non)differentiability of the potential densities.

Reduced-order dynamics of the Martian atmospheric dynamics

In this paper we explore the possibility of deriving low-dimensional models of the dynamics of the Martian atmosphere. The analysis consists of a Proper Orthogonal Decomposition (POD) of the atmospheric streamfunction after first decomposing the vertical structure with a set of eigenmodes. The vertical modes were obtained from the quasi-geostrophic vertical structure equation. The empirical orthogonal functions (EOFs) were optimized to represent the atmospheric total energy. The total energy was used as the criterion to retain those modes with large energy content and discard the rest. The principal components (PCs) were analysed by means of Fourier analysis, so that the dominant frequencies could be identified. It was possible to observe the strong influence of the diurnal cycle and to identify the motion and vacillation of baroclinic waves.

PLANT LEAF IDENTIFICATION BASED ON VOLUMETRIC FRACTAL DIMENSION

Texture is an important visual attribute used to describe the pixel organization in an image. As well as it being easily identified by humans, its analysis process demands a high level of sophistication and computer complexity. This paper presents a novel approach for texture analysis, based on analyzing the complexity of the surface generated from a texture, in order to describe and characterize it. The proposed method produces a texture signature which is able to efficiently characterize different texture classes. The paper also illustrates a novel method performance on an experiment using texture images of leaves. Leaf identification is a difficult and complex task due to the nature of plants, which presents a huge pattern variation. The high classification rate yielded shows the potential of the method, improving on traditional texture techniques, such as Gabor filters and Fourier analysis.

Crystal structure of garciniaphenone and evidences on the relationship between keto-enol tautomerism and configuration

Garciniaphenone (=rel-(1R,5R,7R)-3-benzoyl-4-hydroxy-8,8-dimethyl-1,7-bis(3-methylbut-2-en-1-yl)bicyclo[3.3.1]non-3-ene-2,9-dione; 1). a novel natural product, was isolated from a hexane extract of Garcinia brasiliensis fruits. The crystal structure of 1 as well as the selected geometrical and Configurational features were compared with those of known related polyprenylated benzophenones. Garciniaphenone is the first representative of polyprenylated benzophenones without a prenyl substituent at C(5). Notably, the absence of a 5-prenyl substituent has an impact on the molecular geometry. The tautomeric form of 1 in the solid state was readily established by a residual-electronic-density map generated by means of a difference Fourier analysis, and there is an entirely delocalized six-membered chelate ring encompassing the keto-enol moiety. The configuration at C(7) was used to rationalize the nature of the keto-enol tautomeric form within 1. The intermolecular array in the network is maintained by nonclassical intermolecular H-bonds.

Monitor de profundidade da hipnose. A eletroencefalografia bispectral

JUSTIFICATIVA E OBJETIVOS: A monitorização da profundidade da hipnose e da anestesia é um ato complexo. A maioria das propostas para monitorizar os níveis adequados da hipnose, durante a anestesia, envolve o EEG usando as ondas do EEG, ou mais recentemente, usando a forma processada. A análise bispectral é o método que permite analisar o EEG nas diferentes fases de freqüências. CONTEÚDO: O EEG processado é iniciado com a conversão do sinal de EEG para a forma digital. O EEG digitalizado pode ser matematicamente transformado pelo processo conhecido como análise de Fourier, que separa o complexo sinal do EEG em vários componentes da onda, ou seja, em cada porção de diferente amplitude, mas cuja soma corresponde à forma original da onda. Com o emprego deste método surgem vários parâmetros. O Índice Bispectral, ou simplesmente BIS (100 - acordado até 0 - isoelétrico), é derivado dos melhores parâmetros (p.ex.: freqüência da borda spectral, freqüência mediana e o burst supression ou surto de supressão) que foram avaliados através de análise estatística. CONCLUSÕES: A experiência clínica tem mostrado que o BIS pode predizer uma resposta à incisão da pele durante a anestesia. Entretanto, o BIS não é independente da técnica anestésica usada. Há diferentes respostas, a depender do hipnótico e analgésico empregado.

A 12 kW three-phase low THD rectifier with high-frequency isolation and regulated DC output

A robust 12 kW rectifier with low THD in the line currents, based on an 18-pulse transformer arrangement with reduced kVA capacities followed by a high-frequency isolation stage is presented in this work. Three full-bridge (buck-based) converters are used to allow galvanic isolation and to balance the dc-link currents, without current sensing or current controller. The topology provides a regulated dc output with a very simple and well-known control strategy and natural three-phase power factor correction. The phase-shift PWM technique, with zero-voltage switching is used for the high-frequency dc-dc stage. Analytical results from Fourier analysis of winding currents and the vector diagram of winding voltages are presented. Experimental results from a 12 kW prototype are shown in the paper to verify the efficiency, robustness and simplicity of the command circuitry to the proposed concept.