Previous work has shown that the segmentation of anatomical structures on 3D ultrasound data sets provides an important tool for the assessment of the fetal health. In this work, we present an algorithm based on a 3D statistical shape model to segment the fetal cerebellum on 3D ultrasound volumes. This model is adjusted using an ad hoc objective function which is in turn optimized using the Nelder-Mead simplex algorithm. Our algorithm was tested on ultrasound volumes of the fetal brain taken from 20 pregnant women, between 18 and 24 gestational weeks. An intraclass correlation coefficient of 0.8528 and a mean Dice coefficient of 0.8 between cerebellar volumes measured using manual techniques and the volumes calculated using our algorithm were obtained. As far as we know, this is the first effort to automatically segment fetal intracranial structures on 3D ultrasound data.

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Brain computer interfaces (BCIs) translate brain activity into computer commands. To enhance the performance of a BCI, it is necessary to improve the feature extraction techniques being applied to decode the users' intentions. Objective comparison methods are needed to analyze different feature extraction techniques. One possibility is to use the classifier performance as a comparative measure. In this paper, we study the behavior of linear discriminant analysis (LDA) when used to distinguish between electroencephalographic (EEG) signals with and without the presence of event related potentials (ERPs).

Criterios de diseño B . Rutinas de manejo de datos1 . Rutina de adquisición a. Introducción b . Circuito de conversión analógica/digital c. Programación para la adquisición d . Ejemplo 2 . Rutina de lectura y almacenamiento en disco .Rutina de despliegue de arreglos en pantalla 4 .Rutina de graficación 5. Rutina de normalización .Rutina de cálculo de magnitud 7. Rutina de intercambio de arreglos C.Rutina de filtrado l .Introducción 2 .Descripción del método de ventana 3 . Descripción del algoritmo 4 . Ejemplo D .Rutina para el cálculo de la transformada de Fourier 1 . Introducción .Descripción del método de decimación en tiempo 3 .

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