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In this paper, we propose a new approach to the analysis and modeling of esophageal manometry (EGM) data to assist the diagnosis of esophageal motility disorders in humans. The proposed approach combines three techniques, namely, wavelet decomposition (WD), nonlinear pulse detection technique (NPDT), and statistical pulse modeling. Specifically, WD is applied to the filtering of the EGM data, which...
Wavelet decomposition is gaining attention as a novel signal processing tool for analyzing nonlinear time-series. Compared to traditional Fourier transform, wavelet transform better represents functions exhibiting discontinuities and sudden changes. As such, wavelet-based techniques are strong candidates for the analysis of bio-signals (e.g. gastric and esophageal signals), in which, sudden changes...
Computer aided design (CAD) and optimization of on-chip spiral inductors is of immense interest to RFIC designers. Traditional optimization methods rely on approximate/fast "coarse models" of spiral inductors, e.g. equivalent circuits, empirical equations, etc. Naturally, the accuracy/validity of optimized results from such methods depends highly on the quality of the coarse models used...
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