Publications by authors named "P J Beadle"

novel parametric method, based on the non-Gaussian AR model, is proposed for the partition of on-stationary EEG data into a finite set of third-order stationary segments. With the assumption of piecewise third-order stationarity of the signal, a series of parametric bispectral estimations of the non-stationary EEG data can be performed so as to describe the time-varying non-Gaussian nonlinear characteristics of the observed EEG signals. A practical method based on the fitness of third-order statistics of the signal by using the non-Gaussian AR model, together with an algorithm with CMI is presented.

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Symbolic dynamics is a useful tool in several fields of complexity analysis in nonlinear science. In order to investigate complexities of the human brain electrical activities under different brain functional states, a novel method in terms of symbolic entropy is defined and proposed in this paper. The novel algorithm based on symbolic dynamics is developed for quantitatively measuring the complexity of the EEG data.

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A novel approach is proposed to deal with the problem of detecting the single trial ERP using a modified RBF neural network, rational Gaussian network. The Gaussian RBF is normalized to obtain optimal behavior of noise suppression even at low SNR. The performance of the proposed scheme is also evaluated with both MSE and the tracking ability.

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In vitro cultured Plasmodium falciparum gametocytes were fed to Anopheles gambiae (G3) mosquitoes to identify parasite population characteristics useful for predicting successful mosquito infections. Parameters were collected from an initial study of 90 infections over a two year period and a second study of 55 infections over 12 weeks. Parasite isolate/clone was identified as the most reliable predictor of gametocyte infectiousness.

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Using our Perioperative Nursing Process form in addition to intraoperative and PACU flow sheets allows us to document the nursing process in a manner that satisfies the goals for documentation established by our committee. Because we place all forms in the patients' medical records, they are available for review by the JCAHO to prove that we comply with their standards and the standards of AORN and ANA. The nurses have been satisfied with the documentation system because it can be used efficiently and does not require redundant documentation as the patient transfers into each perioperative area.

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