Download IV Latin American Congress on Biomedical Engineering 2007, by Carmen Müller-Karger, Sara Wong, Alexandra La Cruz PDF

By Carmen Müller-Karger, Sara Wong, Alexandra La Cruz

The IV Latin American Congress on Biomedical Engineering, CLAIB2007, corresponds to the triennial congress for the neighborhood Bioengineering Council for Latin the US (CORAL), it's supported via the overseas Federation for clinical and organic Engineering (IFMBE) and the Engineering in medication, Biology Society (IEEE-EMBS). This time the Venezuela Society of Bioengineering (SOVEB) prepared the convention, with the slogan Bioengineering answer for Latin the United States overall healthiness.

El IV Congreso Latinoamericano de Ingeniería Biomédica, CLAIB2007, corresponde a l. a. conferencia trianual del Consejo nearby de Ingeniería Biomédica para América Latina (CORAL), y es apoyada por los angeles Federación Internacional para los angeles Ingeniería Médica y Biológica (IFMBE) y, l. a. Sociedad para los angeles Ingeniería en Biología y Medicina (IEEE-EMBS). En esta oportunidad l. a. Sociedad Venezolana de Bioingeniería (SOVEB) organizó los angeles conferencia, bajo el lema Soluciones de Bioingeniería para los angeles salud en Latina.

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Additional info for IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health, September 24th-28th, 2007, Margarita Island, ... Proceedings) (English and Spanish Edition)

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Blazer, S. Senn, P. Stadelmann, N. Felpar, and W. Fichtner. (2006, August). On the “Silicon implementation of the SPIHT algorithm for compression of ECG records,” [on line]. ch/~mwegmuel/ethz2/docs/SPIHT 6. M. Pooyan, A. Taheri, M. Moazami, I. Saboori, “Wavelet compression of ECG signal using SPIHT algorithm,” IEEE Transaction on Engineering, Computing and Technology, vol. 2, December, 2004. 7. S. Mallat. “A theory for multiresolution signaldecomposition: the wavelet representation,” IEEE Pattern Anal.

18 __________________________________________________________________ Automated Classification of Deceleration Patterns in Fetal Heart Rate Signal using Neural Networks find the optimal set of parameters the number of inputs was changing during experiments. It turned out that the best were the networks with radial basis functions (RBF) and multilayer perceptrons (MLP). The RBF networks were learned using the k-means algorithm – for obtaining weights of neurons, k-nearest neighbor algorithm – for obtaining the radii of neurons, and pseudo-invert algorithm (linear least squares optimization) – for obtaining the weights of output neuron.

Ch/~mwegmuel/ethz2/docs/SPIHT 6. M. Pooyan, A. Taheri, M. Moazami, I. Saboori, “Wavelet compression of ECG signal using SPIHT algorithm,” IEEE Transaction on Engineering, Computing and Technology, vol. 2, December, 2004. 7. S. Mallat. “A theory for multiresolution signaldecomposition: the wavelet representation,” IEEE Pattern Anal. , vol. 11, no. 7. pp. 674-693, 1989. 8. M. Misiti, Y. Misiti, G. Openheim y J. M. Poggy. “Wavelet Toolbox, User’s Guide,” The Math work, Inc. 2000. 9. J Tompkins. Biomedical digital signal processing.

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