SummaryChanges in the electroencephalograms of patients undergoing cardiac surgery with cardiopulmonary bypass were studied. A n analysis technique with a simple display of amplitude and frequency within the traditional bands was used. During the course qfan operation, there can be dramatic changes in frequency contribution with little or no change in overall EEG amplitude. Evaluation of the results shows that this technique clearly draws attention to periods of EEG change, and examples are given.
We propose an efficient computational method to obtain the fractional derivative of a digital signal. e proposal consists of a new interpretation of the Grünwald-Letnikov differintegral operator where we have introduced a finite Cauchy convolution with the Grünwald-Letnikov dynamic kernel. e method can be applied to any signal without knowing its analytical form. In the experiments, we have compared the proposed Grünwald-Letnikov computational fractional derivative method with the Riemman-Louville fractional derivative approach for two well-known functions. e simulations exhibit similar results for both methods; however, the Grünwald-Letnikov method outperforms the other approach in execution time. Finally, we show an application of how our proposal can be useful to find the fractional relationship between two well-known biomedical signals.
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