1,721,202 research outputs found
Gaussian pulse expansion of modulated signals in double-negative slab
No full textA novel approach, based on a theoretical formulation, is proposed for the analysis of finite-bandwidth signals in a lossy double-negative (DNG) slab. It adopts a signal expansion into Gaussian pulse functions, and provides an immediate approximate form of a modulated signal after the propagation in the dispersive medium. The accuracy and flexibility of the approach is proven studying the propagation of amplitude- and phase-modulated signals, and considering two different realizations of the DNG medium. © 2006 IEEE
Estimation of the electromagnetic effects on ionic membrane channels: comparison of three numerical methods
No full textToronto, Canad
Exploiting 3D-printing in passive UHF RFID electromagnetic projects
No full textIn this work, the appropriateness of the combination of 3D-printing and RFID is faced. Firstly, a T-Resonator for the dielectric characterization of substrates, including 3D-printed ones, is presented, and the dependence on the air percentage of both permittivity and loss tangent of PLA substrates has been found in the UHF RFID band. Then, a wearable bracelet tag and a Yagi-Uda-inspired long-range tag, which exploit the peculiarities of 3D-printinted substrates, have been designed, realized, and validated
Machine Learning for Bioelectromagnetics and Biomedical Engineering: Some Sample Applications
No full textIn a recent paper we have introduced the use of Machine-Learning to improve the effectiveness of electroporation treatments. On the basis of a wide literature analysis, and after building up a solid knowledge repository, we were able to build up an Artificial Neural Network (ANN) so to predict the impact of the treatment in terms of ablation area. In this paper, we demonstrate that the same approach can be extended so to allow the optimum choice and tuning of some parameters with an important impact on the quality of the treatment, such as the position of the electrodes, their size, geometry, etc. This allows the customization of the treatment to a wider variety of diseases, and its tailoring on specific cases or patients. We finally propose the extension of the ANN approach to a novel application area, extremely important in many biomedical applications: gesture recognition. We demonstrate that the approach, combined with the use of a special glove using chipless RF tags, can be effective in the detection of the movements of fingers in a human hand. For this application, we also investigate some open problems and future developments
A Generalized Model for the Analysis of Neuronal Cells Exposed to EM Fields
No full textSt. Petersburgh, Florid
The effect of noise in non-linear systems: stochastic resonance observed in neuronal models
No full textLong Beach, Californi
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