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Publicações

2017

FPGA-based Implementation of a Frequency Spreading FBMC-OQAM Baseband Modulator

Autores
Carvalho, M; Ferreira, ML; Ferreira, JC;

Publicação
2017 24TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS (ICECS)

Abstract
Filter-bank Multicarrier (FBMC) modulation has been proposed as a 5G waveform candidate due to its better spectral efficiency and lower out-of-band emissions compared to OFDM. This paper presents an FPGA-based implementation of a Frequency Spreading FBMC-OQAM baseband modulator and evaluates it in terms of performance, resource utilization and power consumption. The proposed system is then compared with published Polyphase Network (PPN) FBMC-OQAM designs, focusing on resource utilization. The results suggest that the higher computational complexity of FS-FBMC systems does not directly result in higher resource utilization, which makes FS-FBMC a convenient scheme for implementing FBMC designs on FPGA.

2017

Using the Characteristics of Documents, Users and Tasks to Predict the Situational Relevance of Health Web Documents

Autores
Oroszlányová, M; Lopes, CT; Nunes, S; Ribeiro, C;

Publicação
Journal of Information Systems Engineering & Management

Abstract

2017

Open-end six-phase machine drive system with six three-leg converters

Autores
de Freitas, NB; Jacobina, CB; Melo, VFMB; Gehrke, BS; de A. C. Costa, LAL;

Publicação
2017 IEEE Energy Conversion Congress and Exposition (ECCE)

Abstract

2017

LiteSense: An adaptive sensing scheme for WSNs

Autores
Silva, JMC; Bispo, KA; Carvalho, P; Lima, SR;

Publicação
2017 IEEE Symposium on Computers and Communications, ISCC 2017, Heraklion, Greece, July 3-6, 2017

Abstract

2017

EUStress: A Human Behaviour Analysis System for Monitoring and Assessing Stress During Exams

Autores
Gonçalves, F; Carneiro, D; Novais, P; Pêgo, JM;

Publicação
Intelligent Distributed Computing XI - Proceedings of the 11th International Symposium on Intelligent Distributed Computing - IDC 2017, Belgrade, Serbia, October 11-13, 2017.

Abstract

2017

The Role of the Pallidothalamic Fibre Tracts in Deep Brain Stimulation for Dystonia: A Diffusion MRI Tractography Study

Autores
Rozanski, VE; da Silva, NM; Ahmadi, SA; Mehrkens, J; Cunha, JD; Houde, JC; Vollmar, C; Botzel, K; Descoteaux, M;

Publicação
HUMAN BRAIN MAPPING

Abstract
Background: Deep Brain Stimulation (DBS) of the Globus pallidus internus (GPi) is gold standard treatment in medically refractory dystonia. Recent evidence indicates that stimulation effects are also due to axonal modulation and affection of a fibre network. For the GPi, the pallidothalamic tracts are known to be the major motor efferent pathways. The aim of this study is to explore the anatomic vicinity of these tracts and DBS electrodes in dystonia applying diffusion tractography. Methods: Diffusion MRI was acquired in ten patients presenting for DBS for dystonia. We applied both a conventionally used probabilistic tractography algorithm (FSL) as well as a probabilistic streamline tracking approach, based on constrained spherical deconvolution and particle filtering with anatomic priors, to the datasets. DBS electrodes were coregistered to the diffusion datasets. Results: We were able to delineate the pallidothalamic tracts in all patients. Using the streamline approach, we were able to distinguish between the two sub-components of the tracts, the ansa lenticularis and the fasciculus lenticularis. Clinically efficient DBS electrodes displayed a close anatomic vicinity pathway of the pallidothalamic tracts, and their course was consistent with previous tracer labelling studies. Although we present only anatomic data, we interpret these findings as evidence of the possible involvement of fibre tracts to the clinical effect in DBS. Electro-physiological intraoperative recordings would be needed to complement our findings. In the future, a clear and individual delineation of the pallidothalamic tracts could optimize the stereotactic process of optimal electrode localization. (C) 2016 Wiley Periodicals, Inc.

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