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We have recently demonstrated the feasibility of vascular guided wave imaging (VGWI) in non-invasive estimation of bi-plane (i.e., longitudinal and transverse) transmural arterial Young's modulus (ELV, ETV) in tubular phantoms using phase velocity (cph) (Guo et al., ITEC 2016). In this study, we further compare the ETV estimated from the circumferential Lamb type (CLT) wave by VGWI with ETP from the...
Ultrasound shear wave imaging has been extensively studied in thin tissues, such as the artery and cornea. The dispersion analysis of the guided wave propagating in such layered structures based on a modified Lamb wave model for homogeneous and isotropic thin soft media in water has been shown to yield accurate elasticity estimates. Nonetheless, thin soft tissues are often bounded with other tissue...
Advances in wireless microelectronics and low-cost sensor manufacturing have led to a variety of wearable technologies, with many wearable devices today being used for monitoring health and wellness. Traditional Chinese Medicine (TCM) is a relatively unexplored area of interest as a type of ‘alternative medicine’. In this paper, we evaluated the suitability of a prototype system based on a 3-sensor...
Ultrasound shear wave elastography (SWE) is an emerging technique for characterizing local arterial stiffness - a known indicator for vascular health. However, the implications due to vascular anatomy and tissue environment are still relatively under-examined. Using polyvinyl alcohol (PVA) based tissue mimicking phantoms, this study assessed the current signal processing framework in demonstrating...
In this study, Cu and Mo ions were doped in Ca3Co4O9−δ to improve the electrical conductivity and electrochemical behavior of Ca3Co4O9−δ ceramic and the performance of a solid oxide fuel cell (SOFC) single cell based on NiO-SDC/SDC/doped Ca3Co4O9−δ-SDC were examined. Cu substitution in the monoclinic Ca3Co4O9−δ ceramic effectively enhanced the densification, slightly increased the grain size, and...
Financial distress prediction has increasingly become a hot topic. To enhance the predictive performance, this paper includes support vector machines, particle swarm optimization, fuzzy c-means and back propagation artificial neural network into the two-stage modelling process of business failure research. This paper use an empirical research which studies sixty-six failing corporation and sixty-six...
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