Prevalencia de patologías osteomusculares del miembro superior y su relación con factores ocupacionales en trabajadores de una empresa de flores. Bogotá 2015

Antecedentes: Las patologías osteomusculares del miembro superior son una importante causa de morbilidad laboral a nivel mundial y en nuestro país, particularmente en el sector de la floricultura. Del desarrollo de estos desórdenes se derivan importantes costos derivados del ausentismo laboral, incapacidades y secuelas. Objetivo: determinar la prevalencia de patología osteomuscular de miembro superior con calificación de origen de enfermedad laboral, en los trabajadores con diagnóstico de patología musculo esquelética de miembro superior y su relación con algunos factores ocupacionales y demográficos. Metodología: Estudio de corte transversal en el que se revisaron datos secundarios procedentes de una base de datos del servicio de salud ocupacional entre enero y mayo de 2015, correspondiente a 465 operarios (no administrativos) a término indefinido de una empresa floricultora de Bogotá, incluyendo únicamente aquellos trabajadores con patologías osteomusculares de miembro superior, que contaban con la clasificación en el diagnóstico ya sea como enfermedad laboral o enfermedad común y mayores de edad. Se excluyeron 19 trabajadores, quienes habían sido reubicados en nuevos sitios de trabajo y no se contó con la información para determinar su actividad antes de realizar el cambio. Se evaluaron las siguientes variables: sexo, edad, antigüedad y el cargo desempeñados por los operarios. La relación entre variables se realizó con la prueba de chi2 de Pearson. Se midió la magnitud de la asociación por medio de OR con sus respectivos intervalos de confianza del 95%. Resultados: Se incluyó a 373 operarios a término fijo, con una media de edad de 39 años (DE=5.55) y una media de antigüedad en el cargo de 6 años (DE=1.15). El 82.84% correspondió al sexo femenino. La prevalencia de enfermedad laboral osteomuscular de miembro superior fue del 54,4%. En el análisis de relación entre la calificación de la enfermedad, y demás variables (sexo, antigüedad en el cargo, edad, actividad desempeñada, localización de la lesión); se encontró que: estar entre los 40 a 49 años (OR= 1,7; IC-95%:1,12 – 2,79), diagnóstico de síndrome de manguito (OR= 4.45; IC-95%: 2.48 – 8.23) y el síndrome de túnel de carpo (OR= 4.22; IC-95%: 2.45 – 7.41) se asociaron a enfermedad laboral. Conclusiones: La prevalencia de enfermedad laboral de patología osteomuscular de miembro superior en los operarios de un cultivo de flores de la Sabana de Bogotá es del (54,4%). Se encontró una mayor asociación con el síndrome del manguito rotador y enfermedad laboral. No se encontró asociación entre la enfermedad laboral y la actividad desempeñada, el tiempo de exposición, ni con el sexo del trabajador.

Syllable structures is modulating the optimal viewing position in visual word recognition. 'La estructura silábica modula la posición óptima de visualización en el reconocimiento visual de palabras'.

Resumen en español. Resumen basado en el de la publicación

Building Professional Capacity Aiming to Improve the Educational Position of Migrant Children : a reflection on the Sirius network activities

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How do Scrabble players encode letter position during reading?

Resumen tomado de la publicaci??n

A proposal to estimate the motion of an underwater vehicle through visual mosaicking

This thesis proposes a solution to the problem of estimating the motion of an Unmanned Underwater Vehicle (UUV). Our approach is based on the integration of the incremental measurements which are provided by a vision system. When the vehicle is close to the underwater terrain, it constructs a visual map (so called "mosaic") of the area where the mission takes place while, at the same time, it localizes itself on this map, following the Concurrent Mapping and Localization strategy. The proposed methodology to achieve this goal is based on a feature-based mosaicking algorithm. A down-looking camera is attached to the underwater vehicle. As the vehicle moves, a sequence of images of the sea-floor is acquired by the camera. For every image of the sequence, a set of characteristic features is detected by means of a corner detector. Then, their correspondences are found in the next image of the sequence. Solving the correspondence problem in an accurate and reliable way is a difficult task in computer vision. We consider different alternatives to solve this problem by introducing a detailed analysis of the textural characteristics of the image. This is done in two phases: first comparing different texture operators individually, and next selecting those that best characterize the point/matching pair and using them together to obtain a more robust characterization. Various alternatives are also studied to merge the information provided by the individual texture operators. Finally, the best approach in terms of robustness and efficiency is proposed. After the correspondences have been solved, for every pair of consecutive images we obtain a list of image features in the first image and their matchings in the next frame. Our aim is now to recover the apparent motion of the camera from these features. Although an accurate texture analysis is devoted to the matching pro-cedure, some false matches (known as outliers) could still appear among the right correspon-dences. For this reason, a robust estimation technique is used to estimate the planar transformation (homography) which explains the dominant motion of the image. Next, this homography is used to warp the processed image to the common mosaic frame, constructing a composite image formed by every frame of the sequence. With the aim of estimating the position of the vehicle as the mosaic is being constructed, the 3D motion of the vehicle can be computed from the measurements obtained by a sonar altimeter and the incremental motion computed from the homography. Unfortunately, as the mosaic increases in size, image local alignment errors increase the inaccuracies associated to the position of the vehicle. Occasionally, the trajectory described by the vehicle may cross over itself. In this situation new information is available, and the system can readjust the position estimates. Our proposal consists not only in localizing the vehicle, but also in readjusting the trajectory described by the vehicle when crossover information is obtained. This is achieved by implementing an Augmented State Kalman Filter (ASKF). Kalman filtering appears as an adequate framework to deal with position estimates and their associated covariances. Finally, some experimental results are shown. A laboratory setup has been used to analyze and evaluate the accuracy of the mosaicking system. This setup enables a quantitative measurement of the accumulated errors of the mosaics created in the lab. Then, the results obtained from real sea trials using the URIS underwater vehicle are shown.

Ocular vestibular evoked myogenic potentials (oVEMP) using air conducted sound: Effect of body position on threshold

The primary objective of this research study is to determine if various body positions for ocular vestibular evoked myogenic potential (oVEMP) testing demonstrate differentiation of the saccule and utricle through threshold responses.

Verification of computed tomographic estimates of cochlear implant array position: A micro-CT and histological analysis

We examine the efficacy two volume spatial registration of pre and postoperative clinical computed tomography (CT) imaging to verify post-operative electrode array placement in cochlear implant (CI) patients. To measure the degree of accuracy with which the composite image predicts in-vivo placement of the array, we replicate the CI surgical process in cadaver heads. Pre-operative, post-operative, micro CT imaging and histology are utilized for verification.