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Optimised analytical models of the dielectric properties of biological tissue
(Elsevier, 2017-02-09)
The interaction of electromagnetic fields with the human body is quantified by the dielectric properties of biological tissues. These properties are incorporated into complex numerical simulations using parametric models ...
Effect of logarithmic and linear frequency scales on parametric modelling of tissue dielectric data
(IOP Publishing, 2017-02-03)
The dielectric properties of biological tissues have been studied widely over the past half-century. These properties are used in a vast array of applications, from determining the safety of wireless telecommunication ...
Stable tissue-mimicking materials and an anatomically realistic, adjustable head phantom for electrical impedance tomography
(IOP Publishing, 2017-11-27)
Objective. To develop dielectrically accurate, easy to mould solid tissue-mimicking materials (TMMs) for use with electrical impedance tomography (EIT) and combine them into a head phantom with realistic anatomy and ...
Anatomically and dielectrically realistic microwave head phantom with circulation and reconfigurable lesions
(The Electromagnetics Academy, 2017)
Phantoms provide valuable test platforms for developing medical devices. Solid materials in particular allow fabrication of stable and robust models. This paper presents a novel, anatomically realistic, multi-layered head ...
Online influence and sentiment of fitness tweets: Analysis of two million fitness tweets
(JMIR Publications, 2017)
Objective: The goal of this experimental approach using the fitness Twitter dataset is two-fold: (1) to determine if there is a correlation between the type of activity tweet (either workout or workout+, which contains the ...
Deep learning for consumer devices and services: Pushing the limits for machine learning, artificial intelligence, and computer vision
(Institute of Electrical and Electronics Engineers (IEEE), 2017-04)
In the last few years, we have witnessed an exponential growth in research activity into the advanced training of convolutional neural networks (CNNs), a field that has become known as deep learning. This has been triggered ...
Diet behavior change techniques in type 2 diabetes: A systematic review and meta-analysis
(American Diabetes Association, 2017-12)
OBJECTIVE Dietary behavior is closely connected to type 2 diabetes. The purpose of this meta-analysis was to identify behavior change techniques (BCTs) and specific components of dietary interventions for patients with ...
Performance of leading artifact removal algorithms assessed across microwave breast imaging prototype scan configurations
(Elsevier, 2017-03-02)
Microwave imaging is a promising imaging modality for the detection of early-stage breast cancer. One of the most important signal processing components of microwave radar-based breast imaging is early stage artifact ...
Adaptive artifact removal for selective multistatic microwave breast imaging signals
(Elsevier, 2017-02-01)
Microwave imaging is one of the most promising alternative breast imaging modalities. Early-stage artifact removal is an important signal processing component of a microwave breast imaging system. In this paper, a monostatic ...
An optimal day-ahead load scheduling approach based on the flexibility of aggregate demands
(Elsevier, 2017-04-26)
The increasing trends of energy demand and renewable integration call for new and advanced approaches to energy management and energy balancing in power networks. Utilities and network system operators require more assistance ...