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ABSTRACT: Cross-sectional studies have suggested that valproate treatment may be associated with hyperinsulinemia and hyperandrogenism in women. Few prospective data are available. We evaluated the reproductive endocrine and insulin-related metabolic parameters in men and women with untreated epilepsy randomized to valproate (n=44) or lamotrigine (n=37) monotherapy for 12 months. On treatment, there was no significant difference in fasting serum insulin concentrations between the two groups. In women (n=40), there was no significant difference between the two groups in change from baseline in serum total testosterone, dehydroepiandrosterone sulfate, luteinizing hormone, or follicle-stimulating hormone. In men (n=41), follicle-stimulating hormone concentration significantly decreased in patients taking valproate compared with those on lamotrigine as early as 3 months after treatment. Greater attention should be paid to investigate the potential impact of valproate on reproductive function in men.
Epilepsy & Behavior 05/2009; 14(4):610-6. · 2.34 Impact Factor
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ABSTRACT: We analyze distortion in analog VLSI arrays for linear image
filtering due to component mismatch and nonlinearity. The analysis can
be used to evaluate different circuit architectures implementing the
same computation for both one-dimensional (1-D) and two-dimensional
(2-D) rectangularly and hexagonally sampled arrays. In addition, it can
determine which elements within a given architecture are most critical
for accurate computation of the output. Based upon the concept of
equivalent input sources, it offers both mathematical and intuitive
explanations of the responses of the networks to mismatch and
nonlinearity
IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications 11/1999;
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ABSTRACT: The analysis of many analog circuit architectures for image
filtering assumes that the circuit elements are linear. We introduce an
analytic method to predict the harmonic distortion in the output due to
nonlinearities in the circuit elements. This approach is based on
finding equivalent input noise generators, a concept familiar to circuit
designers
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on; 07/1997
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ABSTRACT: Gabor filters are preprocessing stages for many image processing
and computer vision applications. Unfortunately, they are
computationally intensive on a digital computer. Although an analog VLSI
chip for Gabor filtering could relieve this bottleneck by computing the
filter outputs with less power and in less time than required by serial
digital computers, one drawback is a loss in accuracy due to the limited
precision with which circuit components can be implemented. This paper
describes an analysis of several different possible circuit
implementations of an analog VLSI cellular neural network for Gabor
filtering which shows that the effect of variations in circuit
components can be minimized by proper circuit design
Circuits and Systems, 1996., IEEE Asia Pacific Conference on; 12/1996