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nfluence of long-term wearing of unstable shoes on compensatory control of post...
Andreia S.P. Sousa; Andreia Silva; Rui Macedo; Rubim Santos; João Manuel R.S. TavaresPurpose: This study investigated the influence of long-term wearing of unstable shoes (WUS) on compensatory postural adjustments (CPA) to an external perturbation. Methods: Participants were divided into two groups: one wore unstable shoes while the other wore conventional shoes for 8 weeks. The ground reaction force signal was used to calculate the anterior-posterior (AP) displacement of the centre of pressure...
Medical Image Registration: a Review
Francisco P. M. Oliveira; João Manuel R. S. TavaresThis paper presents a review of automated image registration methodologies that have been used in the medical field. The aim of this paper is to be an introduction to the field, provide knowledge on the work that has been developed and to be a suitable reference for those who are looking for registration methods for a specific application. The registration methodologies under review are classified into intensit...
A robust computational solution for automated quantification of a specific bind...
Francisco P.M. Oliveira; Diogo Borges Faria; Durval Campos Costa; João Manuel R. S. TavaresAim The purpose of the current paper is to present a computational solution to accurately quantify a specific to a non-specific uptake ratio in [123I] FP-CIT single photon emission computed tomography (SPECT) images and simultaneously measure the spatial dimensions of the basal ganglia, also known as basal nuclei. A statistical analysis based on a reference dataset selected by the user is also automatically per...
A Path- and Label-cost Propagation Approach to speedup the Training of the Opti...
A. S. Iwashita; J. P. Papa; A. N. Souza; A. X. Falcão; R. Lotufo; V. M. Oliveira; Victor Hugo C. de Albuquerque; João Manuel R. S. TavaresIn general, pattern recognition techniques require a high computational burden for learning the discriminating functions that are responsible to separate samples from distinct classes. As such, there are several studies that make effort to employ machine learning algorithms in the context of "big data" classification problems. The research on this area ranges from Graphics Processing Units-based implementations...
The influence of pauses on the fatigue of upper limb muscles during the task of...
Ângela Fernandes; Rubim Santos; Nuno Rocha; João Manuel R. S. TavaresThe aim of this study was to analyze the influence of position and pauses on muscle activity and fatigue during the task of ironing. Ten female participants performed the task of ironing in two different positions (standing and sitting) for 10 minutes each with a one-minute pause at the end of each task. Muscle activity and fatigue from the upper trapezium, anterior deltoid and pectoralis major were analyzed us...
Segmentation Algorithms for Ear Image Data towards Biomechanical Studies
Ana Ferreira; Fernanda Gentil; João Manuel R. S. TavaresIn recent years, the segmentation, i.e. the identification, of ear structures in video-otoscopy, computerised tomography (CT) and magnetic resonance (MR) image data, has gained significant importance in the medical imaging area, particularly those in CT and MR imaging. Segmentation is the fundamental step of any automated technique for supporting the medical diagnosis and, in particular, in biomechanics studies...
The role of unstable shoe constructions for the improvement of postural control
Andreia S. P. Sousa; João Manuel R. S. TavaresPostural control has been defined as the control of the body’s position in space for the purposes of balance and orientation. Given the mechanical instability of the human body system, the neural process involved in stability organization and body orientation in space is necessary almost all motor actions. To manage movement variability, the postural control system presents a high adaptability in response...
New artificial life model for image enhancement
Alex F. de Araujo; Christos E. Constantinou; João Manuel R.S. TavaresIn this work, a method to enhance images based on a new artificial life model is presented. The model is inspired on the behaviour of a herbivore organism, when this organism is in a certain environment and selects its food. This organism travels through the image iteratively, selecting the more suitable food and eating parts of it in each iteration. The path that the organism travels through in the image is de...
Drilling Damage in Composite Material
Luís Miguel P. Durão; João Manuel R.S. Tavares; Victor Hugo C. de Albuquerque; Jorge Filipe S. Marques; Oscar N.G. AndradeThe characteristics of carbon fibre reinforced laminates have widened their use from aerospace to domestic appliances, and new possibilities for their usage emerge almost daily. In many of the possible applications, the laminates need to be drilled for assembly purposes. It is known that a drilling process that reduces the drill thrust force can decrease the risk of delamination. In this work, damage assessment...
Sensing Bluetooth Mobility Data: Potentials and Applications
João Filgueiras; Rosaldo J. F. Rossetti; Zafeiris Kokkinogenis; Michel Ferreira; Cristina Olaverri-Monreal; Marco Paiva; João Manuel R. S. TavaresInformation related to mobility dynamics constitutes an important factor to be considered in traffic management to improve the efficiency of existing systems. We present a proof-of-concept deployment of sensors using the Bluetooth technology to detect traffic flow conditions. Besides traditional method consisting of a network of stationary sensors, we present a novel approach that uses sensors deployed in movin...
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