Estefania Munoz Diaz

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Skull base osteomyelitis (SBO) is typically bacterial in origin and caused by Pseudomonas, although the fungus Aspergillus has also rarely been implicated. SBO generally arises from ear infections and infrequently complicates sinonasal infection. Rhinocerebral Mucor infection is characteristically an acute, fulminant, and deadly infection also affecting the(More)
—Positioning applications became more important in recent years not only for security applications, but also for the mass market. Having a pedestrian navigation system embedded in a mobile phone is a realistic solution since it is equipped with low-cost sensors and the smartphone is located in a non-obstructive way. The location of the smartphone is(More)
—The use of smartphones for pedestrian positioning applications has become important in recent years. Algorithms for detecting steps and estimating their length can be found throughout the literature. In this paper we present new algorithms that increase the accuracy of the estimated step length and decrease the number of undetected steps. Unlike state of(More)
—The use of foot-mounted inertial measurement units (IMUs) has shown promising results in providing accurate human odometry as a component of accurate indoor pedestrian navigation. The specifications of these sensors, such as the sampling frequency have to meet requirements related to human motion. We investigate the lowest usable sampling frequency: To do(More)
In unstructured interviews, 24 Mexicans described survivors' responses to disasters in Guadalajara, Jalisco (n = 9), Homestead, Florida (n = 6), and Puerto Angel, Oaxaca (n = 9). This analysis assessed the extent to which symptom descriptions corresponded to the 17 criterion symptoms of PTSD. Nineteen participants (79%) mentioned from 1 to 9 criterion(More)
—This paper presents a comparison among several state-of-the-art Attitude and Heading Reference Systems (AHRS). These algorithms can be used for 3D orientation and position estimation of users or devices. The robust performance of these AHRS algorithms is of paramount importance, specially in environments with potential external perturbations, such as(More)
—Activity recognition has been a hot topic in research throughout the last years. Walking, standing, sitting or lying have been detected with more or less confidence, in more or less suitable system designs. None of these systems however has entered daily life, neither in mass market, nor in professional environments. What is required is an unobtrusive(More)