Gestão da identidade visual corporativa nos meios digitais: o caso RTP

Relatório de estágio apresentado à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Gestão Estratégica das Relações Públicas.

Estrabismo, acuidade visual e erro refrativo não corrigido na criança em idade escolar

Preventable visual loss in children is an important public health problem. The critical period of susceptibility to deprivation or abnormal visual experience has been identified since the early 1970s. Preventable visual loss caused by amblyopia (0.3%–4%) and its risk factors such as strabismus (2.1%–4.6%) and uncorrected refractive errors (5%–7.7%) represent an important public health problem. Thus the primary justification for preschool vision screening is the detection of amblyopia or amblyogenic refractive, strabismic, or ocular disease conditions. However in Portugal there has been little investigation regarding prevalence of visual anomalies among school-age children. Data on the prevalence are lacking but are needed for planning vision services. Aims: 1) Determine the prevalence of strabismus; 2) Determine the prevalence of decreased visual acuity; 3) Determine the prevalence of uncorrected refractive error.

Efeito de filtros ópticos na função visual de espeleologistas

Speleologist’s perform their activity in demanding visual conditions of very low luminance - many visual tasks involve resolution of detail under conditions of low contrast. Work related conditions in a cave as exposure to heat, chemicals, dust and poor lighting conditions could influence the integrity of the visual system and predispose the eye to diseases that eventually affect vision. Poor lighting conditions cause a variety of symptoms of visual discomfort and may increase the risk of accidents. Good visual acuity is crucial for several and has an important role for safety purposes. The aim of this study was to evaluate lighting conditions and optical filters effects on visual performance in speleologists exposed to cave environments.

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.

Enhancing Multimodal Silent Speech Interfaces With Feature Selection

In research on Silent Speech Interfaces (SSI), different sources of information (modalities) have been combined, aiming at obtaining better performance than the individual modalities. However, when combining these modalities, the dimensionality of the feature space rapidly increases, yielding the well-known "curse of dimensionality". As a consequence, in order to extract useful information from this data, one has to resort to feature selection (FS) techniques to lower the dimensionality of the learning space. In this paper, we assess the impact of FS techniques for silent speech data, in a dataset with 4 non-invasive and promising modalities, namely: video, depth, ultrasonic Doppler sensing, and surface electromyography. We consider two supervised (mutual information and Fisher's ratio) and two unsupervised (meanmedian and arithmetic mean geometric mean) FS filters. The evaluation was made by assessing the classification accuracy (word recognition error) of three well-known classifiers (knearest neighbors, support vector machines, and dynamic time warping). The key results of this study show that both unsupervised and supervised FS techniques improve on the classification accuracy on both individual and combined modalities. For instance, on the video component, we attain relative performance gains of 36.2% in error rates. FS is also useful as pre-processing for feature fusion. Copyright © 2014 ISCA.

Dynamic peripheral visual performance relates to alpha activity in soccer players

Many studies have demonstrated the relationship between the alpha activity and the central visual ability, in which the visual ability is usually assessed through static stimuli. Besides static circumstance, however in the real environment there are often dynamic changes and the peripheral visual ability in a dynamic environment (i.e., dynamic peripheral visual ability) is important for all people. So far, no work has reported whether there is a relationship between the dynamic peripheral visual ability and the alpha activity. Thus, the objective of this study was to investigate their relationship. Sixty-two soccer players performed a newly designed peripheral vision task in which the visual stimuli were dynamic, while their EEG signals were recorded from Cz, O1, and O2 locations. The relationship between the dynamic peripheral visual performance and the alpha activity was examined by the percentage-bend correlation test. The results indicated no significant correlation between the dynamic peripheral visual performance and the alpha amplitudes in the eyes-open and eyes-closed resting condition. However, it was not the case for the alpha activity during the peripheral vision task: the dynamic peripheral visual performance showed significant positive inter-individual correlations with the amplitudes in the alpha band (8-12 Hz) and the individual alpha band (IAB) during the peripheral vision task. A potential application of this finding is to improve the dynamic peripheral visual performance by up-regulating alpha activity using neuromodulation techniques.

Visual functional analysis in medical imaging

Aims of study: 1) Describe the importance of human visual system on lesion detection in medical imaging perception research; 2) Discuss the relevance of research in medical imaging addressing visual function analysis; 3) Identify visual function tests which could be conducted on observers prior to participation in medical imaging perception research.

A saúde visual das crianças de um concelho alentejano: um projecto de intervenção precoce

A visão possui um elevado significado no desenvolvimento infantil. A deficiência visual acarreta um impacto negativo na criança no que respeita à sua educação e integração social. No universo populacional existem globalmente cerca de 1 milhão e 500 mil crianças cegas e 19 milhões com algum tipo de deficiência visual, abrangendo a faixa etária dos 0 aos 14 anos. De acordo com a Direcção Geral de Saúde Portuguesa, estima-se a prevalência de 1,00 a 2,5% de ambliopia entre as crianças, em Portugal, constituindo uma das 3 principais causas de hipovisão monocular. Por isso, a prevenção primária e detecção precoces são cada vez mais importantes na redução das taxas de incidência de patologias oculares. A redução dos casos evitáveis de deficiência visual nas crianças alentejanas, é um objectivo importante da Unidade Local de Saúde do Baixo Alentejo (ULSBA), promovendo acções de rastreio visual para o diagnóstico, a referenciação e o encaminhamento precoces. O Alentejo, região do centro-sul de Portugal, é a maior região de Portugal, com 31.551 km2 de área e 757.190 habitantes. Moura é um concelho do Baixo Alentejo, com 958,46 km2 e 15.167 habitantes e 15,83% são crianças dos 0 aos 14 anos. Objectivos do estudo: detectar factores ambliogénicos e caracterizar o estado visual das crianças nascidas em 2009 e que frequentam os jardins-de-infância (JI) públicos, do concelho de Moura, num total de 9.

Enhancing the selection of a model-based clustering with external categorical variables

In cluster analysis, it can be useful to interpret the partition built from the data in the light of external categorical variables which are not directly involved to cluster the data. An approach is proposed in the model-based clustering context to select a number of clusters which both fits the data well and takes advantage of the potential illustrative ability of the external variables. This approach makes use of the integrated joint likelihood of the data and the partitions at hand, namely the model-based partition and the partitions associated to the external variables. It is noteworthy that each mixture model is fitted by the maximum likelihood methodology to the data, excluding the external variables which are used to select a relevant mixture model only. Numerical experiments illustrate the promising behaviour of the derived criterion. © 2014 Springer-Verlag Berlin Heidelberg.

An unsupervised approach to feature discretization and selection

Many learning problems require handling high dimensional datasets with a relatively small number of instances. Learning algorithms are thus confronted with the curse of dimensionality, and need to address it in order to be effective. Examples of these types of data include the bag-of-words representation in text classification problems and gene expression data for tumor detection/classification. Usually, among the high number of features characterizing the instances, many may be irrelevant (or even detrimental) for the learning tasks. It is thus clear that there is a need for adequate techniques for feature representation, reduction, and selection, to improve both the classification accuracy and the memory requirements. In this paper, we propose combined unsupervised feature discretization and feature selection techniques, suitable for medium and high-dimensional datasets. The experimental results on several standard datasets, with both sparse and dense features, show the efficiency of the proposed techniques as well as improvements over previous related techniques.

Efficient feature selection filters for high-dimensional data

Feature selection is a central problem in machine learning and pattern recognition. On large datasets (in terms of dimension and/or number of instances), using search-based or wrapper techniques can be cornputationally prohibitive. Moreover, many filter methods based on relevance/redundancy assessment also take a prohibitively long time on high-dimensional. datasets. In this paper, we propose efficient unsupervised and supervised feature selection/ranking filters for high-dimensional datasets. These methods use low-complexity relevance and redundancy criteria, applicable to supervised, semi-supervised, and unsupervised learning, being able to act as pre-processors for computationally intensive methods to focus their attention on smaller subsets of promising features. The experimental results, with up to 10(5) features, show the time efficiency of our methods, with lower generalization error than state-of-the-art techniques, while being dramatically simpler and faster.

Visual function assessment in medical imaging research

Background - Medical image perception research relies on visual data to study the diagnostic relationship between observers and medical images. A consistent method to assess visual function for participants in medical imaging research has not been developed and represents a significant gap in existing research. Methods - Three visual assessment factors appropriate to observer studies were identified: visual acuity, contrast sensitivity, and stereopsis. A test was designed for each, and 30 radiography observers (mean age 31.6 years) participated in each test. Results - Mean binocular visual acuity for distance was 20/14 for all observers. The difference between observers who did and did not use corrective lenses was not statistically significant (P = .12). All subjects had a normal value for near visual acuity and stereoacuity. Contrast sensitivity was better than population norms. Conclusion - All observers had normal visual function and could participate in medical imaging visual analysis studies. Protocols of evaluation and populations norms are provided. Further studies are necessary to understand fully the relationship between visual performance on tests and diagnostic accuracy in practice.

Função visual e risco de quedas em idosos do concelho de Loures: um estudo exploratório

O processo de envelhecimento fisiológico é marcado por um decréscimo das capacidades motoras, redução da força, flexibilidade, função visual, entre outros. Adicionalmente, alterações patológicas do sistema visual com impacto na função visual podem alterar o equilíbrio e aumentar o risco de quedas. Os indivíduos com idade ≥ 50 anos representam entre 65% a 82% dos casos de baixa visão e cegueira. O risco de quedas é superior em mulheres com acuidade visual ≤0,5. Objectivo do estudo: avaliar a relação entre a função visual e o risco de quedas.

O estado visual das crianças dos jardins de infância do concelho de Moura

A prevenção primária/detecção precoce são cada vez mais importantes na redução das taxas de incidência de patologia ocular. De acordo com a DGS, estima-se a prevalência de ambliopia de 1,00 a 2,5% de ambliopia entre as crianças, em Portugal, constituindo uma das 3 principais causas de hipovisão monocular. O Ortoptista desenvolve um papel activo nos Cuidados de Saúde Primários, através de rastreios escolares, contribuindo para o diagnóstico precoce. Objectivo do estudo - Detectar factores ambliogénicos e caracterizar o estado visual das crianças nascidas em 2009 e que frequentam o total dos jardins-de-infância do concelho de Moura.

Análise da acuidade visual no implante de LIO fáquica em miopias elevadas

Introdução – Na correção de miopias elevadas, a cirurgia por implante de lente intraocular fáquica tem tido progressivamente uma maior adesão em relação à cirurgia por laser. Compara-se a acuidade visual (AV) antes e após a cirurgia implanto-refrativa, verificando-se a efetividade deste método no incremento da visão em miopias elevadas. Metodologia – Foram analisados, retrospetivamente, 70 olhos de 41 pacientes, com miopia elevada, entre os 20 e 50 anos, submetidos a cirurgia implanto-refrativa entre 2009 e 2012. Resultados – Um dia após cirurgia, 42,86% da amostra melhorou a AV, 34,29% manteve e 22,85% diminuiu. Após 30 dias observou-se um aumento generalizado da quantidade de visão, sendo que: 64,29% atingiu os 10/10 de AV, 24,29% alcançou entre 9/10-7/10 e 11,42% entre 6/10-4/10. Conclusão – Comprovou-se a efetividade desta técnica cirúrgica, verificando-se o aumento da AV em 52,86% da amostra.