Retrospective histopathological classification of 1,108 skin biopsies from patients clinically suspected of having leprosy from Bahia, Northeast Brazil

We report a retrospective histopathological classification carried out under laboratory conditions by the method of Ridley & Jopling of 1,108 skin biopsies from patients clinically suspected of having leprosy from Bahia, Northeast Brazil.

Exploratory analysis of OpenStreetMap for land use classification

In the last years, volunteers have been contributing massively to what we know nowadays as Volunteered Geographic Information. This huge amount of data might be hiding a vast geographical richness and therefore research needs to be conducted to explore their potential and use it in the solution of real world problems. In this study we conduct an exploratory analysis of data from the OpenStreetMap initiative. Using the Corine Land Cover database as reference and continental Portugal as the study area, we establish a possible correspondence between both classification nomenclatures, evaluate the quality of OpenStreetMap polygon features classification against Corine Land Cover classes from level 1 nomenclature, and analyze the spatial distribution of OpenStreetMap classes over continental Portugal. A global classification accuracy around 76% and interesting coverage areas’ values are remarkable and promising results that encourages us for future research on this topic.

Context classification for service robots

This dissertation presents a solution for environment sensing using sensor fusion techniques and a context/environment classification of the surroundings in a service robot, so it could change his behavior according to the different rea-soning outputs. As an example, if a robot knows he is outdoors, in a field environment, there can be a sandy ground, in which it should slow down. Contrariwise in indoor environments, that situation is statistically unlikely to happen (sandy ground). This simple assumption denotes the importance of context-aware in automated guided vehicles.

Autonomia funcional em idosos : caracterização multidimensional em idosos utentes de um centro de saúde urbano

RESUMO: Tivemos como objectivo do presente trabalho avaliar a capacidade funcional, e factores eventualmente a ela associados, numa amostra de 152 idosos ambulatórios, sem doenças agudas ou graves, utentes de um centro de saúde urbano. Cada avaliação consistiu numa entrevista, mediante um inquérito sobre capacidade funcional, morbilidade, estado mental e aspectos sociais, e no estudo da composição corporal. As perguntas referentes às variáveis estudadas foram por nós desenvolvidas e estruturadas com base em escalas internacionais validadas e de utilização comum na avaliação de idosos, excepto para as variáveis em que não encontrámos escalas com essas características. Os seus quesitos foram incluídos como perguntas e respostas estruturadas e pré-codificadas, permitindo a atribuição de uma pontuação a cada variável e a sua posterior divisão dicotómica. Aplicámos as escalas de Katz e de Lawton para a avaliação das actividades de autonomia física e instrumental da vida diária, a escala de Grimby para a avaliação da actividade física, a escala de Hamilton e o teste de Folstein para a avaliação do estado mental nas vertentes afectiva e cognitiva e a escala de Graffar para caracterizar a classe social, e perguntas sobre locomoção, autoavaliação da saúde, queixas de saúde presentes e rede social. Fizemos o registo da morbilidade segundo a International Classification of Primary Care - ICPC. A avaliação antropométrica constou da medição do peso, da altura, dos perímetros do braço, da cintura, da anca e proximal da coxa, e das pregas bicipital, tricipital, sub-escapular e supra-ilíaca. Foi também feita a estimativa da composição corporal por cálculos derivados de índices antropométricos e de bioimpedância eléctrica corporal total, o doseamento de algumas proteínas plasmáticas e a quantificação da força de preensão. Analisámos os resultados obtidos por grupos quanto ao sexo e à idade, dividida nos escalões etários 65 a 74 anos e mais do que 74 anos. Por regressão linear múltipla, foi testado o efeito do sexo e da idade sobre os valores medidos, para cada uma das variáveis e cada uma das suas pontuações parciais, sendo considerado como evidência de um efeito estaticamente significativo um valor “p” inferior a 0,05.Resumimos do seguinte modo os dados obtidos e a sua comparação com os dos estudos que seleccionámos como referência: A média de idades da amostra foi de 74 anos, sendo um terço destes do sexo masculino. Na sua maioria eram independentes em locomoção e funcionalidade, praticavam alguma actividade física, classificavam a sua saúde como razoável ou boa, apresentavam sintomatologia activa, não tinham depressão ou demência, tinham quem os acompanhasse embora cerca de metade apresentasse algum grau de isolamento, eram de baixa classe social, tinham excesso de peso, valores elevados de massa gorda, parâmetros plasmáticos proteicos compatíveis com ausência de doenças agudas ou graves e considerável força muscular de preensão. Na análise descritiva por grupos quanto ao sexo e/ou à idade, verificou-se que as mulheres e os mais idosos apresentavam maior isolamento social e os valores mais baixos de massa magra, hemoglobina e força de preensão. As mulheres tinham maior prevalência de dependência em autonomia física, depressão e valores mais baixos de transferrina. Os mais idosos apresentavam maior dependência em funcionalidade, menor actividade física, maior prevalência de demência, índice de massa corporal menos elevado, e valores mais baixos de albumina. Não se verificou prevalência de piores resultados dicotómicos nos homens nem no escalão etário menos idoso. Não teve relação com o sexo ou a idade o compromisso em autonomia instrumental, a presença de morbilidade ou a baixa classe social, assim como a não perturbação da locomoção e dos níveis de somatomedina-C. A análise comparativa com estudos multidimensionais em idosos portugueses e europeus ambulatórios revelou que a nossa amostra apresentava muitas características semelhantes às desses idosos. Assim, tinham elevada independência em locomoção, considerável independência em autonomia física e menor independência em autonomia instrumental; prática de actividade física ligeira, as mulheres dentro e os homens fora de casa; maior prevalência de morbilidade a nível dos aparelhos locomotor e cardiocirculatório, nos nossos idosos com pouca flutuação na autoavaliação de saúde; pequena prevalência de depressão e de demência; maior isolamento social nas mulheres e nas mais idosas; factores de classe social de baixo nível, diferindo apenas em relação aos idosos do norte da Europa que apresentavam elevada escolaridade e profissões mais diferenciadas; características biométricas sobreponíveis às dos idosos portugueses e às dos do sul da Europa, com tendência para o excesso de peso e proporção elevada de massa gorda; e doseamentos plasmáticos proteicos e força muscular de preensão compatíveis com ausência de doenças agudas ou crónicas graves. A comparação com os referidos estudos em relação ao risco de dependência, revelou semelhanças na associação entre dependência funcional e idade avançada, morbilidade, alteração do estado mental e isolamento social. Na amostra que estudámos não obtivemos associação entre dependência e o sexo feminino, facto que se verificou no estudo nacional de Almeida et al. e nos estudos multicêntricos europeus, ou o grau de escolaridade, como no estudo francês. Podemos concluir que, com o instrumento de avaliação que utilizámos, foi possível detectar e caracterizar perturbações numa amostra de idosos ambulatórios, a maioria funcionalmente independentes, sem alterações do estado mental, mas apresentando morbilidade activa, tendência para a obesidade, e actividade física ligeira. Nos que apresentaram alterações, estas foram mais frequentes no sexo feminino e nos indivíduos com mais de 74 anos. A escala de funcionalidade desenvolvida foi sensível aos efeitos da idade e permitiu o cálculo do risco de dependência em relação às outras variáveis estudadas, sendo mais marcante a associação com baixa actividade física, presença de queixas de saúde, demência e índice de massa corporal elevado. Consideramos que a metodologia que empregámos poderá contribuir para a avaliação de capacidades, cujo conhecimento sistemático nos idosos se impõe. ------------- ABSTRACT: The main objective of the present work was to evaluate functional capacity and related factors, in a sample of 152 ambulatory elderly, free from acute or serious disease, attending an urban health centre. Each evaluation included an interview, with a questionnaire about functional capacity, morbidity, mental health and social aspects, and the study of body composition. The questions were developed and structured in accordance with international validated scales usually applied in the evaluation of the elderly, whenever there were scales for that purpose. Their items were included as structured pre-coded questions and answers, so that each variable could have its own quotation and be dichotomised. We employed Katz and Lawton scales for basic and instrumental activities of daily living, Grimby scale for physical activity, Hamilton scale for depression, Folstein’s Mini Mental State Examination for cognitive ability and Graffar scale for social class, and questions about walking, health perception, active complaints and social network. The symptoms register was done according to the International Classification of Primary Care - ICPC. The anthropometric exam involved the determination of height and weight, arm, waist, hip and proximal thigh circumferences, and biceps, triceps, subscapular and suprailiac skinfolds. For the body composition calculation we employed equations derived from anthropometric indices, and from measurement of total body bioelectric impedance. We also measured some plasma proteins and handgrip strength. The analysis of results was done by sex and age groups, separating those with 65 to 74 years from those older than 74 years. The effects of sex and age were tested by linear multiple regression, for each variable and its components. Presented "p" values being considered statistically significative if less than 0,05. The results we obtained and their comparison with the studies we choose as reference can be summarised as follows: Mean age of the sample was 74 years and about one third were men. Most of them were independent in gait and functionality, practised some physical activity, rate their health as fair or good, had physical complaints, had not depression or dementia, had some companionship although almost half of them with stigmas of isolation, belonged to low social class, were in the range of overweight, had raised values of fat mass, plasma proteins in accordance with no acute or serious disease, and considerable handgrip strength. The analysis of groups by sex and age revealed that women and the eldest had the greater social isolation and the lowest values of free fat mass, haemoglobin and handgrip strength. Women had the higher dependence in basic activities of daily living, more depression and lower levels of transferrin. The eldest were more dependent in functionality, had greater prevalence of dementia, less physical activity, less raised body mass index and lower levels of albumin. Men alone and the age range of 65 to 74 did not show any prevalence of the worse dichotomised results. There was no relationship between sex or age and instrumental activities of daily living, morbidity or low social class, and unaffected gait or somatomedin-C levels. The comparison of results with multidimensional studies in portuguese and european ambulatory elderly showed that our sample had many similarities with theirs. They were independent in gait and activities of daily living; practiced light physical activity, women indoors and men outdoors; had greater morbidity at locomotor and cardiovascular systems, with small latitude in health evaluation; low prevalence of depression and dementia; social isolation predominantly in older women; and low social class factors, witch is only different from those of north Europe who had higher education levels and professional carriers; biometric characteristics similar to other portuguese and south Europe elders, with tendency for overweight and high proportion of fat mass; and plasma protein levels and handgrip strength in accordance with no acute or chronic serious disease. The comparison to the referred studies in relation to dependency risk, showed similarities in the association of dependency and age, morbidity,altered mental state and social isolation. We did not find association between dependency and sex, as it was found in the portuguese study of Almeida et al. and the european multicentric studies, or the education level, as in the french study. We conclude that, with the evaluation battery we employed, it was possible to detect and characterise alterations in a sample of ambulatory elderly, most of whom were functionally independent and had no alterations in mental state, but had active morbidity, tendency to obesity, and only light physical activity. Those that had some alteration, were more frequently women and the eldest. The functionality scale we developed showed to be sensitive to age effects and suitable for the calculation of risk of dependency, being more important the association with low physical activity, active complaints, dementia and high body mass index. We consider that the methodology we applied can contribute to the evaluation of capabilities that should be systematically sought for in the elderly.

Using the International Classification of Functioning, Disability and Health as a tool for analysis of the effect of physical therapy on spasticity in HAM/TSP patients

INTRODUCTION: This study aimed to evaluate spasticity in human T-lymphotropic virus type 1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) patients before and after physical therapy using the International Classification of Functioning, Disability and Health (ICF). METHODS: Nine subjects underwent physical therapy. Spasticity was evaluated using the Modified Ashworth Scale. The obtained scores were converted into ICF body functions scores. RESULTS: The majority of subjects had a high degree of spasticity in the quadriceps muscles. According to the ICF codes, the spasticity decreased after 20 sessions of physical therapy. CONCLUSIONS: The ICF was effective in evaluating spasticity in HAM/TSP patients.

Evaluation of the World Health Organization 2009 classification of dengue severity in autopsied individuals, during the epidemics of 2011 and 2012 in Brazil

Abstract: INTRODUCTION: The dengue classification proposed by the World Health Organization (WHO) in 2009 is considered more sensitive than the classification proposed by the WHO in 1997. However, no study has assessed the ability of the WHO 2009 classification to identify dengue deaths among autopsied individuals suspected of having dengue. In the present study, we evaluated the ability of the WHO 2009 classification to identify dengue deaths among autopsied individuals suspected of having dengue in Northeast Brazil, where the disease is endemic. METHODS: This retrospective study included 121 autopsied individuals suspected of having dengue in Northeast Brazil during the epidemics of 2011 and 2012. All the autopsied individuals included in this study were confirmed to have dengue based on the findings of laboratory examinations. RESULTS: The median age of the autopsied individuals was 34 years (range, 1 month to 93 years), and 54.5% of the individuals were males. According to the WHO 1997 classification, 9.1% (11/121) of the cases were classified as dengue hemorrhagic fever (DHF) and 3.3% (4/121) as dengue shock syndrome. The remaining 87.6% (106/121) of the cases were classified as dengue with complications. According to the 2009 classification, 100% (121/121) of the cases were classified as severe dengue. The absence of plasma leakage (58.5%) and platelet counts <100,000/mm3 (47.2%) were the most frequent reasons for the inability to classify cases as DHF. CONCLUSIONS: The WHO 2009 classification is more sensitive than the WHO 1997 classification for identifying dengue deaths among autopsied individuals suspected of having dengue.

Analysis of classification algorithms for crop detection using LANDSAT 8 images

Remote sensing - the acquisition of information about an object or phenomenon without making physical contact with the object - is applied in a multitude of different areas, ranging from agriculture, forestry, cartography, hydrology, geology, meteorology, aerial traffic control, among many others. Regarding agriculture, an example of application of this information is regarding crop detection, to monitor existing crops easily and help in the region’s strategic planning. In any of these areas, there is always an ongoing search for better methods that allow us to obtain better results. For over forty years, the Landsat program has utilized satellites to collect spectral information from Earth’s surface, creating a historical archive unmatched in quality, detail, coverage, and length. The most recent one was launched on February 11, 2013, having a number of improvements regarding its predecessors. This project aims to compare classification methods in Portugal’s Ribatejo region, specifically regarding crop detection. The state of the art algorithms will be used in this region and their performance will be analyzed.

Mapping the Pasture Steppe in Bayankhongor, Mongolia: comparison of classification methods, using Landsat-8 and geophysical data

Grasslands in semi-arid regions, like Mongolian steppes, are facing desertification and degradation processes, due to climate change. Mongolia’s main economic activity consists on an extensive livestock production and, therefore, it is a concerning matter for the decision makers. Remote sensing and Geographic Information Systems provide the tools for advanced ecosystem management and have been widely used for monitoring and management of pasture resources. This study investigates which is the higher thematic detail that is possible to achieve through remote sensing, to map the steppe vegetation, using medium resolution earth observation imagery in three districts (soums) of Mongolia: Dzag, Buutsagaan and Khureemaral. After considering different thematic levels of detail for classifying the steppe vegetation, the existent pasture types within the steppe were chosen to be mapped. In order to investigate which combination of data sets yields the best results and which classification algorithm is more suitable for incorporating these data sets, a comparison between different classification methods were tested for the study area. Sixteen classifications were performed using different combinations of estimators, Landsat-8 (spectral bands and Landsat-8 NDVI-derived) and geophysical data (elevation, mean annual precipitation and mean annual temperature) using two classification algorithms, maximum likelihood and decision tree. Results showed that the best performing model was the one that incorporated Landsat-8 bands with mean annual precipitation and mean annual temperature (Model 13), using the decision tree. For maximum likelihood, the model that incorporated Landsat-8 bands with mean annual precipitation (Model 5) and the one that incorporated Landsat-8 bands with mean annual precipitation and mean annual temperature (Model 13), achieved the higher accuracies for this algorithm. The decision tree models consistently outperformed the maximum likelihood ones.

Safety classification using GIS in decision-making process to define priority road interventions

Given the current economic situation of the Portuguese municipalities, it is necessary to identify the priority investments in order to achieve a more efficient financial management. The classification of the road network of the municipality according to the occurrence of traffic accidents is fundamental to set priorities for road interventions. This paper presents a model for road network classification based on traffic accidents integrated in a geographic information system. Its practical application was developed through a case study in the municipality of Barcelos. An equation was defined to obtain a road safety index through the combination of the following indicators: severity, property damage only and accident costs. In addition to the road network classification, the application of the model allows to analyze the spatial coverage of accidents in order to determine the centrality and dispersion of the locations with the highest incidence of road accidents. This analysis can be further refined according to the nature of the accidents namely in collision, runoff and pedestrian crashes.

Ergonomics, anthropometrics, and kinetic evaluation of gait: A case study

This study aimed to develop appropriate changes in a pair of shoes in order to improve the gait of an individual selected for this case study. This analysis took into account ergonomic aspects, namely those relating to the individual’s anthropometrics. Gait analysis was done with the adapted footwear both before and after intervention.A conventional X-ray was performed, which revealed a 29-mm left lower limb shortening and possible foot adduction. The anthropometric assessment confirmed a 27-mm asymmetry between the left knee and foot.Corrective changes were implemented in the left boot, with a 20-mm increase in the plantar aspect and approximately 30-mm in the calcaneus area.The pressure-mapping system WalkinSense was used for the kinetic gait analysis. Results showed some improvement in plantar pressure distribution after corrective changes in footwear. Peak pressure in the left foot decreased from 2.8kg/cm2 to 1.6kg/cm2. The second peak also showed a marked decrease. The right foot presented with a reduction in peak plantar pressure from 2.7kg/cm2 to 2.3kg/cm2.After identifying asymmetries, the associated pathologies and modifyingthe footwear, a kinetic analysis of gait before and after altering the footwear was undertaken, which showed improvements in the gait. According to the obtained results, it was possible to demonstrate that the initially proposed objectives were achieved, i.e., the changes in footwear resulted in an improvement of the analyzed individual.

Evaluating balance, stability and gait symmetry of stroke patients using kinematic and dynamic gait lab data

Dissertação de mestrado integrado em Engenharia Biomédica

Metabolic profiling and classification of propolis samples from Southern Brazil: an NMR-based platform coupled with machine learning

The chemical composition of propolis is affected by environmental factors and harvest season, making it difficult to standardize its extracts for medicinal usage. By detecting a typical chemical profile associated with propolis from a specific production region or season, certain types of propolis may be used to obtain a specific pharmacological activity. In this study, propolis from three agroecological regions (plain, plateau, and highlands) from southern Brazil, collected over the four seasons of 2010, were investigated through a novel NMR-based metabolomics data analysis workflow. Chemometrics and machine learning algorithms (PLS-DA and RF), including methods to estimate variable importance in classification, were used in this study. The machine learning and feature selection methods permitted construction of models for propolis sample classification with high accuracy (>75%, reaching 90% in the best case), better discriminating samples regarding their collection seasons comparatively to the harvest regions. PLS-DA and RF allowed the identification of biomarkers for sample discrimination, expanding the set of discriminating features and adding relevant information for the identification of the class-determining metabolites. The NMR-based metabolomics analytical platform, coupled to bioinformatic tools, allowed characterization and classification of Brazilian propolis samples regarding the metabolite signature of important compounds, i.e., chemical fingerprint, harvest seasons, and production regions.

Monovarietal extra-virgin olive oil classification: a fusion of human sensory attributes and an electronic tongue

Olive oil quality grading is traditionally assessed by human sensory evaluation of positive and negative attributes (olfactory, gustatory, and final olfactorygustatory sensations). However, it is not guaranteed that trained panelist can correctly classify monovarietal extra-virgin olive oils according to olive cultivar. In this work, the potential application of human (sensory panelists) and artificial (electronic tongue) sensory evaluation of olive oils was studied aiming to discriminate eight single-cultivar extra-virgin olive oils. Linear discriminant, partial least square discriminant, and sparse partial least square discriminant analyses were evaluated. The best predictive classification was obtained using linear discriminant analysis with simulated annealing selection algorithm. A low-level data fusion approach (18 electronic tongue signals and nine sensory attributes) enabled 100 % leave-one-out cross-validation correct classification, improving the discrimination capability of the individual use of sensor profiles or sensory attributes (70 and 57 % leave-one-out correct classifications, respectively). So, human sensory evaluation and electronic tongue analysis may be used as complementary tools allowing successful monovarietal olive oil discrimination.

Land cover classification of Lago Grande de Curuai floodplain (Amazon, Brazil) using multi-sensor and image fusion techniques

Given the limitations of different types of remote sensing images, automated land-cover classifications of the Amazon várzea may yield poor accuracy indexes. One way to improve accuracy is through the combination of images from different sensors, by either image fusion or multi-sensor classifications. Therefore, the objective of this study was to determine which classification method is more efficient in improving land cover classification accuracies for the Amazon várzea and similar wetland environments - (a) synthetically fused optical and SAR images or (b) multi-sensor classification of paired SAR and optical images. Land cover classifications based on images from a single sensor (Landsat TM or Radarsat-2) are compared with multi-sensor and image fusion classifications. Object-based image analyses (OBIA) and the J.48 data-mining algorithm were used for automated classification, and classification accuracies were assessed using the kappa index of agreement and the recently proposed allocation and quantity disagreement measures. Overall, optical-based classifications had better accuracy than SAR-based classifications. Once both datasets were combined using the multi-sensor approach, there was a 2% decrease in allocation disagreement, as the method was able to overcome part of the limitations present in both images. Accuracy decreased when image fusion methods were used, however. We therefore concluded that the multi-sensor classification method is more appropriate for classifying land cover in the Amazon várzea.

Influence of the hip joint modeling approaches on the kinematics of human gait

The influence of the hip joint formulation on the kinematic response of the model of human gait is investigated throughout this work. To accomplish this goal, the fundamental issues of the modeling process of a planar hip joint under the framework of multibody systems are revisited. In particular, the formulations for the ideal, dry, and lubricated revolute joints are described and utilized for the interaction of femur head inside acetabulum or the hip bone. In this process, the main kinematic and dynamic aspects of hip joints are analyzed. In a simple manner, the forces that are generated during human gait, for both dry and lubricated hip joint models, are computed in terms of the system’s state variables and subsequently introduced into the dynamics equations of motion of the multibody system as external generalized forces. Moreover, a human multibody model is considered, which incorporates the different approaches for the hip articulation, namely ideal joint, dry, and lubricated models. Finally, several computational simulations based on different approaches are performed, and the main results presented and compared to identify differences among the methodologies and procedures adopted in this work. The input conditions to the models correspond to the experimental data capture from an adult male during normal gait. In general, the obtained results in terms of positions do not differ significantly when the different hip joint models are considered. In sharp contrast, the velocity and acceleration plotted vary significantly. The effect of the hip joint modeling approach is clearly measurable and visible in terms of peaks and oscillations of the velocities and accelerations. In general, with the dry hip model, intra-joint force peaks can be observed, which can be associated with the multiple impacts between the femur head and the cup. In turn, when the lubricant is present, the system’s response tends to be smoother due to the damping effects of the synovial fluid.