Indicadores prognósticos na hipertensão pulmonar

Mestrado em Tecnologia de Diagnóstico e Intervenção Cardiovascular - Ramo de especialização: Intervenção Cardiovascular

Sistema de reconhecimento de impressões digitais baseado em FPGA

Trabalho de Projeto para obtenção do grau de Mestre em Engenharia de Eletrónica e Telecomunicações

Les acanthopleurocératinés portugais et leurs relations avec les formes subboréales

The evolution of the Portuguese Acanthopleuroceratinae is similar to the celto-souabe succession such as it was described in the collects of the Cottards (Cher, France). A subspecies of one of the oldest Acanthopleuroceras (A. carinatum atlanticum) is abundant in the lower part of the Portuguese Ibex zone; this form is described here. The species is recognized in France by several nuclei associated with A. arietiforme (Cottards-22). Generally the similarity between the successive French and Portuguese populations (A. maugenesti, A. valdani, A. alisiense, junior synonym of A. lepidum TUTCHER and TRUEMAN, 1925), is very good. This fact suggests their specific identity. It is typical for A. lepidum of which the greatest populations allow the biometric comparaisons. In Portugal, the mesogean Tropidaceras are missing. This absence of the subboreal Acanthopleuroceras ancestors suggests the straight celto-souabe derivation of the Portuguese Acanthopleuroceras and not a similar local evolution. A. lepidum the last Acanthopleuroceras reaches the western coast of Canada (British Columbia) probably by the Arctic ocean.

Demo: automatic personal identification system for security in critical services: a case study

The demonstration proposal moves from the capabilities of a wireless biometric badge [4], which integrates a localization and tracking service along with an automatic personal identification mechanism, to show how a full system architecture is devised to enable the control of physical accesses to restricted areas. The system leverages on the availability of a novel IEEE 802.15.4/Zigbee Cluster Tree network model, on enhanced security levels and on the respect of all the users' privacy issues.

Automatic learning for the classification of chemical reactions and in statistical thermodynamics

This Thesis describes the application of automatic learning methods for a) the classification of organic and metabolic reactions, and b) the mapping of Potential Energy Surfaces(PES). The classification of reactions was approached with two distinct methodologies: a representation of chemical reactions based on NMR data, and a representation of chemical reactions from the reaction equation based on the physico-chemical and topological features of chemical bonds. NMR-based classification of photochemical and enzymatic reactions. Photochemical and metabolic reactions were classified by Kohonen Self-Organizing Maps (Kohonen SOMs) and Random Forests (RFs) taking as input the difference between the 1H NMR spectra of the products and the reactants. The development of such a representation can be applied in automatic analysis of changes in the 1H NMR spectrum of a mixture and their interpretation in terms of the chemical reactions taking place. Examples of possible applications are the monitoring of reaction processes, evaluation of the stability of chemicals, or even the interpretation of metabonomic data. A Kohonen SOM trained with a data set of metabolic reactions catalysed by transferases was able to correctly classify 75% of an independent test set in terms of the EC number subclass. Random Forests improved the correct predictions to 79%. With photochemical reactions classified into 7 groups, an independent test set was classified with 86-93% accuracy. The data set of photochemical reactions was also used to simulate mixtures with two reactions occurring simultaneously. Kohonen SOMs and Feed-Forward Neural Networks (FFNNs) were trained to classify the reactions occurring in a mixture based on the 1H NMR spectra of the products and reactants. Kohonen SOMs allowed the correct assignment of 53-63% of the mixtures (in a test set). Counter-Propagation Neural Networks (CPNNs) gave origin to similar results. The use of supervised learning techniques allowed an improvement in the results. They were improved to 77% of correct assignments when an ensemble of ten FFNNs were used and to 80% when Random Forests were used. This study was performed with NMR data simulated from the molecular structure by the SPINUS program. In the design of one test set, simulated data was combined with experimental data. The results support the proposal of linking databases of chemical reactions to experimental or simulated NMR data for automatic classification of reactions and mixtures of reactions. Genome-scale classification of enzymatic reactions from their reaction equation. The MOLMAP descriptor relies on a Kohonen SOM that defines types of bonds on the basis of their physico-chemical and topological properties. The MOLMAP descriptor of a molecule represents the types of bonds available in that molecule. The MOLMAP descriptor of a reaction is defined as the difference between the MOLMAPs of the products and the reactants, and numerically encodes the pattern of bonds that are broken, changed, and made during a chemical reaction. The automatic perception of chemical similarities between metabolic reactions is required for a variety of applications ranging from the computer validation of classification systems, genome-scale reconstruction (or comparison) of metabolic pathways, to the classification of enzymatic mechanisms. Catalytic functions of proteins are generally described by the EC numbers that are simultaneously employed as identifiers of reactions, enzymes, and enzyme genes, thus linking metabolic and genomic information. Different methods should be available to automatically compare metabolic reactions and for the automatic assignment of EC numbers to reactions still not officially classified. In this study, the genome-scale data set of enzymatic reactions available in the KEGG database was encoded by the MOLMAP descriptors, and was submitted to Kohonen SOMs to compare the resulting map with the official EC number classification, to explore the possibility of predicting EC numbers from the reaction equation, and to assess the internal consistency of the EC classification at the class level. A general agreement with the EC classification was observed, i.e. a relationship between the similarity of MOLMAPs and the similarity of EC numbers. At the same time, MOLMAPs were able to discriminate between EC sub-subclasses. EC numbers could be assigned at the class, subclass, and sub-subclass levels with accuracies up to 92%, 80%, and 70% for independent test sets. The correspondence between chemical similarity of metabolic reactions and their MOLMAP descriptors was applied to the identification of a number of reactions mapped into the same neuron but belonging to different EC classes, which demonstrated the ability of the MOLMAP/SOM approach to verify the internal consistency of classifications in databases of metabolic reactions. RFs were also used to assign the four levels of the EC hierarchy from the reaction equation. EC numbers were correctly assigned in 95%, 90%, 85% and 86% of the cases (for independent test sets) at the class, subclass, sub-subclass and full EC number level,respectively. Experiments for the classification of reactions from the main reactants and products were performed with RFs - EC numbers were assigned at the class, subclass and sub-subclass level with accuracies of 78%, 74% and 63%, respectively. In the course of the experiments with metabolic reactions we suggested that the MOLMAP / SOM concept could be extended to the representation of other levels of metabolic information such as metabolic pathways. Following the MOLMAP idea, the pattern of neurons activated by the reactions of a metabolic pathway is a representation of the reactions involved in that pathway - a descriptor of the metabolic pathway. This reasoning enabled the comparison of different pathways, the automatic classification of pathways, and a classification of organisms based on their biochemical machinery. The three levels of classification (from bonds to metabolic pathways) allowed to map and perceive chemical similarities between metabolic pathways even for pathways of different types of metabolism and pathways that do not share similarities in terms of EC numbers. Mapping of PES by neural networks (NNs). In a first series of experiments, ensembles of Feed-Forward NNs (EnsFFNNs) and Associative Neural Networks (ASNNs) were trained to reproduce PES represented by the Lennard-Jones (LJ) analytical potential function. The accuracy of the method was assessed by comparing the results of molecular dynamics simulations (thermal, structural, and dynamic properties) obtained from the NNs-PES and from the LJ function. The results indicated that for LJ-type potentials, NNs can be trained to generate accurate PES to be used in molecular simulations. EnsFFNNs and ASNNs gave better results than single FFNNs. A remarkable ability of the NNs models to interpolate between distant curves and accurately reproduce potentials to be used in molecular simulations is shown. The purpose of the first study was to systematically analyse the accuracy of different NNs. Our main motivation, however, is reflected in the next study: the mapping of multidimensional PES by NNs to simulate, by Molecular Dynamics or Monte Carlo, the adsorption and self-assembly of solvated organic molecules on noble-metal electrodes. Indeed, for such complex and heterogeneous systems the development of suitable analytical functions that fit quantum mechanical interaction energies is a non-trivial or even impossible task. The data consisted of energy values, from Density Functional Theory (DFT) calculations, at different distances, for several molecular orientations and three electrode adsorption sites. The results indicate that NNs require a data set large enough to cover well the diversity of possible interaction sites, distances, and orientations. NNs trained with such data sets can perform equally well or even better than analytical functions. Therefore, they can be used in molecular simulations, particularly for the ethanol/Au (111) interface which is the case studied in the present Thesis. Once properly trained, the networks are able to produce, as output, any required number of energy points for accurate interpolations.

ECG Analysis Using Consensus Clustering

Biosignals analysis has become widespread, upstaging their typical use in clinical settings. Electrocardiography (ECG) plays a central role in patient monitoring as a diagnosis tool in today's medicine and as an emerging biometric trait. In this paper we adopt a consensus clustering approach for the unsupervised analysis of an ECG-based biometric records. This type of analysis highlights natural groups within the population under investigation, which can be correlated with ground truth information in order to gain more insights about the data. Preliminary results are promising, for meaningful clusters are extracted from the population under analysis. © 2014 EURASIP.

ECG Biometrics: A Template Selection Approach

Electrocardiography (ECG) biometrics is emerging as a viable biometric trait. Recent developments at the sensor level have shown the feasibility of performing signal acquisition at the fingers and hand palms, using one-lead sensor technology and dry electrodes. These new locations lead to ECG signals with lower signal to noise ratio and more prone to noise artifacts; the heart rate variability is another of the major challenges of this biometric trait. In this paper we propose a novel approach to ECG biometrics, with the purpose of reducing the computational complexity and increasing the robustness of the recognition process enabling the fusion of information across sessions. Our approach is based on clustering, grouping individual heartbeats based on their morphology. We study several methods to perform automatic template selection and account for variations observed in a person's biometric data. This approach allows the identification of different template groupings, taking into account the heart rate variability, and the removal of outliers due to noise artifacts. Experimental evaluation on real world data demonstrates the advantages of our approach.

ECG-based biometrics: A real time classification approach

Behavioral biometrics is one of the areas with growing interest within the biosignal research community. A recent trend in the field is ECG-based biometrics, where electrocardiographic (ECG) signals are used as input to the biometric system. Previous work has shown this to be a promising trait, with the potential to serve as a good complement to other existing, and already more established modalities, due to its intrinsic characteristics. In this paper, we propose a system for ECG biometrics centered on signals acquired at the subject's hand. Our work is based on a previously developed custom, non-intrusive sensing apparatus for data acquisition at the hands, and involved the pre-processing of the ECG signals, and evaluation of two classification approaches targeted at real-time or near real-time applications. Preliminary results show that this system leads to competitive results both for authentication and identification, and further validate the potential of ECG signals as a complementary modality in the toolbox of the biometric system designer.

Rediscovery of Leptaxis vetusta (Morelet & Drouet, 1857), a subfossil land snail from the Quaternary of Santa Maria (Azores)

During a recent field work on the southern coast of the island of Santa Maria (Azores) a bulk sample of 37 shells and 25 fragments of Leptaxis vetusta was assembled from Late Pleistocene and Holocene slope deposits outcropping in the area. These specimens are the first of this rare subfossil species to be mentioned since the original descriptions of Arthur Morelet and Henri Drouet (1857). The purposes of our paper are a systematic and biometric description of L. vestuta. For the first time, the original type: locality was localized with accuracy over the southern downslopes of Pico do Facho, between Figueiral and Prainha. The subfossil specimens were collected in slope deposits and detritic fans, overlying a fossiliferous marine deposit situated over the 2-3 m abrasion platform of Praia and Prainha bay. The age and factors associated to the extinction of this species are discussed, including the destruction of the original laurel cover and the colonization by Otala lactea (Muller, 1774), a continental helicid introduced and widespread in Santa Maria.

A tradução audiovisual: os desafios da áudio-descrição

Dissertação de Mestrado apresentada ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Tradução e Interpretação Especializadas, sob orientação de Doutora Sandra Ribeiro “Esta versão contém as críticas e sugestões dos elementos do júri.”

ECG biometrics using a dissimilarity space representation

Electrocardiogram (ECG) biometrics are a relatively recent trend in biometric recognition, with at least 13 years of development in peer-reviewed literature. Most of the proposed biometric techniques perform classifi-cation on features extracted from either heartbeats or from ECG based transformed signals. The best representation is yet to be decided. This paper studies an alternative representation, a dissimilarity space, based on the pairwise dissimilarity between templates and subjects' signals. Additionally, this representation can make use of ECG signals sourced from multiple leads. Configurations of three leads will be tested and contrasted with single-lead experiments. Using the same k-NN classifier the results proved superior to those obtained through a similar algorithm which does not employ a dissimilarity representation. The best Authentication EER went as low as 1:53% for a database employing 503 subjects. However, the employment of extra leads did not prove itself advantageous.

Paleontologia e evolução a problemática da espécie em Paleozoologia

The concept of species in Paleontology is of paramount importance since the correct taxonomic determinations are essential to establish the age of the beds where fossils are collected. Particularly since 1940, the concept of species from a biological context, corresponding to the variability of a set of interpopulation compatibility, led us to a new approach, in which a typological conception has been replaced by a populationist one. If the notion of species is not necessarily identical for all living organisms, the greater the difficulties of interpretation in the private world of cephalopod fossils. The latter, lend themselves well to population systematics, and where this concept of species rests primarily on the morphological similarities. Thus, the introduction of general ideas analyse "typological species", "biological species", the problem of the definition of a "population" in Paleontology, and also the importance of the biometric analysis of fossil associations. The classic examples of polymorphism amd polytypism, in existing or extinct organisms, show that the concept of fossil species, observed in a well-defined period of its lifetime, is no different from that of biological species. The study of the evolution of fossil organisms allow us to understand the modelities of evolution and the mechanisms of speciation here synthesized and fully documented, namely the anagenesis or sequential evolution and the cladogenesis or divergent evoltuion; these mechanisms are the basis of the synthetic or gradualist theory of evolution developed by Dobzhansky, Mayr, Huxley, Rensch and impson. This summary ends with a reference to the theory of punctuated (or intermittent) equilibria proposed by Gould and Eldredge, who presented a more objective interpretation of morphological gaps, considered as elements of evolution itself. The interdisciplinary collaboration between zoologists, geneticists and paleontologists, is compulsory in this domain. Paleozoology has a key role since it conveys the dynamism and depth to the dimension of space-time duality.

Embedded system for individual recognition based on ECG biometrics

Biometric recognition is emerging has an alternative solution for applications where the privacy of the information is crucial. This paper presents an embedded biometric recognition system based on the Electrocardiographic signals (ECG) for individual identification and authentication. The proposed system implements a real-time state-of-the-art recognition algorithm, which extracts information from the frequency domain. The system is based on a ARM Cortex 4. Preliminary results show that embedded platforms are a promising path for the implementation of ECG-based applications in real-world scenario.

Vision based context categorization for all-terrain robot

Dissertation presented at the Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa to obtain the Master degree in Electrical and Computer Engineering.

Mental health promotion during pregnancy and early childhood : an action- research project in primary health care

ABSTRACT – Background: Primary Health Care (PHC) is usually the first contact with the health system, and health professionals are key mediators for enabling citizens to take care of their health. In Portugal, great improvements have been achieved in the biometric indicators of maternal and child health during the last decades. Nevertheless, scant attention has been paid to the mental health dimension, in spite of the recognition of its importance, being pregnancy and early childhood crucial opportunities in the lifecycle for mental health promotion, especially in the early years of life, with a strong impact in the health of the child. The impact of early attachment between mother and baby on maternal and child health has long been recognized. This attachment can be influenced by some factors, as the mother’s emotional adjustment. Attention to these factors may facilitate implementation of both positive conditions and preventative measures. Family support during the transition to parenthood has been highlighted as an effective measure and PHC professionals are in a privileged position as information sources as well as mediators. Aims: The project we present describes an action-research process developed together among academic researchers and health professionals to embrace these issues. We intend to enable health professionals to support families in the transition to parenthood thereby promoting children’s mental health. Approach: The project is driven by a participatory approach intended to lead to reorganization of health care during pregnancy and early childhood. Effective change happens when those involved are interested and motivated, what makes their participation so important. Reflection about current practices and needs, and knowledge about evidence-based interventions have been guiding the selection of changes to introduce in clinical practice for family support and development of parenthood skills and self-confidence. Development: We summarize the main steps in development: the initial assessment and the picture taken from the community under study; the decision making process; the training programme of PHC professionals in action; the review of the protocols of maternal consultation, home visits and antenatal education; the implementation planning; the plan for evaluation the effectiveness of the changes introduced in the delivery of maternal and child health care units. The already developed work has shown that motivation, leadership and organizational issues are decisive for process development.-------------------------- RESUMO - Os Cuidados de Saúde Primários são habitualmente o primeiro contacto com o sistema de saúde e os profissionais de saúde são mediadores chave na capacitação dos cidadãos para cuidarem da sua saúde. Em Portugal, nas últimas décadas, têm-se alcançado grandes melhorias nos indicadores biométricos de saúde materno-infantil. Contudo, tem-se dedicado pouca atenção à dimensão de saúde mental, apesar do reconhecimento da sua importância. A gravidez e primeira infância têm sido apontadas como uma oportunidade crucial no ciclo de vida para a promoção da saúde mental. É dado especial enfoque aos primeiros tempos de vida, dado o forte impacto na saúde da criança. O impacte da vinculação precoce entre a mãe e o bebé na saúde da mãe e da criança há muito que é reconhecido. Esta vinculação pode ser influenciada por vários factores, nomeadamente pelo ajustamento emocional da mãe. A focalização nestes aspectos pode facilitar a criação de condições favoráveis e a implementação de medidas preventivas. O suporte familiar durante o período de transição para a parentalidade tem sido enfatizado como uma medida eficaz e os Cuidados de Saúde Primários estão numa posição privilegiada como fontes de informação e como mediadores. O projecto que apresentamos descreve um processo de investigação- acção desenvolvido em parceria entre investigadores académicos e profissionais de saúde para abordar os aspectos referidos. Pretende-se capacitar os profissionais de saúde para apoiarem as famílias na transição para a parentalidade, promovendo assim a saúde mental das crianças. O projecto baseia-se numa abordagem participativa, direccionada para a reorganização dos cuidados durante a gravidez e primeiros tempos de vida. A mudança efectiva acontece quando os envolvidos estão interessados e motivados, o que torna a sua participação tão importante. A reflexão acerca das práticas e necessidades actuais e o conhecimento acerca de intervenções baseadas na evidência têm guiado a selecção das alterações a introduzir na prática clínica, no sentido de promover o suporte familiar e o desenvolvimento de competências parentais e auto-confiança. Neste artigo, apresentamos as etapas principais do desenvolvimento do projecto: avaliação inicial da comunidade em estudo; processo de tomada de decisão; programa de formação dos profissionais dos Cuidados de Saúde Primários; revisão dos protocolos da consulta de saúde materna, visita domiciliária e educação pré-natal; planeamento da implementação; plano de avaliação da efectividade das alterações introduzidas na prestação de cuidados. O trabalho já desenvolvido tem mostrado que a motivação, liderança e aspectos