19 documents found, page 1 of 2

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Impact of variable transformations on multiple regression models for enhancing ...

Ferreira, Flora; Barrios, Jhonathan; Barbosa, Paulo; Gago, Miguel F.; Bicho, Estela; Erlhagen, Wolfram

Gait analysis has become an important tool in clinical practice for monitoring disease progression and evaluating therapeutic interventions. However, a subject's gait characteristics can be affected by physical characteristics such as age and height, which can interfere with accurate comparisons between subjects. MLR normalization has been shown to be effective in reducing interference from subject-specific phy...


A data recording mobile application to create datasets of vehicle users’ routines

Guimarães, Pedro; Ferreira, Flora; Silva, Ana Carolina; Erlhagen, Wolfram; Monteiro, Sérgio; Bicho, Estela

One of today's automotive research focus is the development of vehicles for the future, with their own intelligence, aware of their occupants, able to give support to its users, striving for natural and efficient interaction, and giving rise to the concept of the cognitive vehicle. Furthermore, truly adaptive intelligence can be achieved with assistance systems capable of adapting to different drivers. Vehicles...


Quantitative gait analysis value as a predictor of shunt surgery effectiveness ...

Gago, Miguel F.; Ferreira, Flora; Bicho, Estela

Introduction: Shunt surgery (SS) remains the most effective treatment for idiopathic Normal pressure hydro-cephalus (iNPH), but the selection of the patients with the greatest potential benefit remains elusive.Objective: Identify gait features predictive of best response to SS in iNPH.Methods: Eight patients with iNPH were assessed at baseline, after Cerebrospinal fluid tap-test (CSF-TT) and SS, with clinical s...


Endowing intelligent vehicles with the ability to learn user’s habits and prefe...

Barbosa, Paulo; Ferreira, Flora; Fernandes, Carlos; Erlhagen, Wolfram; Guimarães, Pedro; Wojtak, Weronika; Monteiro, Sérgio; Bicho, Estela

A private vehicle frequently carries the same passengers who routinely take specific objects with them, have their vehicle comfort preferences, and visit the same places at relatively the same time of a given day or day of the week. Thus, developing intelligent vehicles that are able to reduce the cognitive workload of the drivers by learning and adapting to their occupants’ routines is of the highest interest....


A Multivariate Randomized Controlled Experiment about the Effects of Mindfulnes...

M. C. da Costa, Nuno; Bicho, Estela; Ferreira, Flora; Vilhena, Estela; S. Dias, Nuno

Neurofeedback training (NFT) is a technique often proposed to train brain activity SR with promising results. However, some criticism has been raised due to the lack of evaluation, reliability, and validation of its learning effects. The current work evaluates the hypothesis that SR learning may be improved by priming the subject before NFT with guided mindfulness meditation (MM). The proposed framework was tes...

Date: 2021   |   Origin: CiencIPCA

Discrimination of idiopathic Parkinson's disease and vascular parkinsonism base...

Fernandes, Carlos; Ferreira, Flora; Lopes, Rui L; Bicho, Estela; Erlhagen, Wolfram; Sousa, Nuno; Gago, Miguel F

Idiopathic Parkinson's disease (IPD) and vascular parkinsonism (VaP) present highly overlapping phenotypes, making it challenging to distinguish between these two parkinsonian syndromes. Recent evidence suggests that gait assessment and response to levodopa medication may assist in the objective evaluation of clinical differences. In this paper, we propose a new approach for gait pattern differentiation that us...


Dynamic identification of stop locations from GPS trajectories based on their t...

Ferreira, Flora; Wojtak, Weronika; Fernandes, Carlos; Guimarães, Pedro; Monteiro, Sérgio; Bicho, Estela; Erlhagen, Wolfram

The identification of stop locations in GPS trajectories is an essential preliminary step for obtaining trip information. We propose a neural network approach, based on the theoretical framework of dynamic neural fields (DNF), to identify automatically stop locations from GPS trajectories using their spatial and temporal characteristics. Experiments with real-world GPS trajectories were performed to show the fe...


The association between potential risk factors and cerebral white matter lesion...

Moura, Ana R.; Ferreira, Flora; Bicho, Estela; Braga, José; Erlhagen, Wolfram; Azevedo, Olga; Gago, Miguel F.


The sea starts here: a success case in Sines (Portugal)

Ferreira, Flora; Seixas, Sónia

The campaign “The Sea Starts Here”, designed by “Eco-escolas”, is raising awareness on the impact of littering into road gutter (that might lead the litter into the sea), in order to prevent it. Sines municipally adapted the methodology and added an extra activity: cleaning the road gutters in the schools of Sines and its surroundings. So, several activities were carried out: workshops, cleaning of the road gut...


The effect of levodopa medication on stride time variability in patients with P...

Ferreira, Flora; Fernandes, Carlos; Braga, José; Bicho, Estela; Erlhagen, Wolfram; Gago, Miguel F.


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