<p>Este artículo presenta una revisión del estado del arte reportado en literatura sobre las técnicas utilizadas en Monitorización de Salud Estructural para detectar y localizar daños, así como los dispositivos electrónicos que se usan para efectuarla. Además, incluye una revisión de las aplicaciones de los agentes inteligentes en diferentes áreas de la ingeniería para solucionar problemas con información distribuida. Por último, revisa las aplicaciones de los sistemas de multiagentes inteligentes en Monitorización de Salud Estructural, con el fin de encontrar las tendencias de los sistemas de monitorización y determinar los problemas que no han sido solucionados en esta área.</p>

This paper presents a control system approach for hybrid illumination of administrative offices (225m2) at an university building located at a tropical zone. The main goal was to minimize the energy consumption of artificial lightings (fluorescent), by taking advantage of the high natural lighting level during a workday (8 a.m. and 6 p.m.). The control system devices used for each office are: presence sensor, dimming photocell and dimming ballasts, all them connected to the Andover Infinet Controller. By means of data analysis and daylight curves, energy consumption and financial savings are determined. Subsequently, the average energy consumption per square meter due to the hybrid lighting in the offices (8.5 kWh/m2/year) and typical illumination of the central campus (27 kWh/m2/year) were compared. It was demonstrated that a reduction of energy consumption of about 70%, 50% by daylighting and 20% by automation was obtained.

The analysis of electromyographic signals is applied both to the diagnosis of pathologies and to the recognition of movement patterns. Variables such as force and speed of movement are factors that affect the characteristics of the signals of surface electromyography (SMEG). The naturalness of the movements of the hand are also associated with strength and speed. Current work assessment 96 records of SEMG -Force). The objective was to obtain a linear model that would allow the relation of the force signal with the tone of the forearm SEMG signals. The work results show models at the determination coefficient R 2 -median 0.78. The SEMG signal would contribute to the variation of the strength signal. However, there are appreciable differences in relation to the model in each type of hand movement.

Introduction: Since the earliest description of spinal fusion in 1911 and later by Dr. Fred H. Albee, it has become one of the most commonly performed procedures by orthopedist and neurosurgeons. The spinal fusion is now used to treat a variety of indications, such as traumatic injuries, deformities, primary and secondary tumors, infections and degenerative conditions of the spine. The risk of iatrogenic injury during traditional anterior, posterior, and transforaminal open fusion surgery is significant. The axial lumbar interbody fusion (Axia-LIF) is a minimal invasive technique which uses the retroperitoneumpresacral anatomical corridor to fuse the lumbar vertebral bodies L4-L5-S1 avoiding manipulation of the annular ligament, paravertebral muscles and facet joints. Methods: In this retrospective series, we report all the cases made in the Centro Medico Naval in México City in two years. A total of eleven patients with degenerative disc disease and spondylolisthesis underwent Axia-LIF one or two level systems with a 36 months clinical and radiographic follow-up. The outcomes included Oswestry Disability Index (ODI) score and leg/back pain severity. Radiographic outcome was evaluated with dynamics and orthogonal x-ray, as well as lumbosacral tomography scan to evaluate fusion status. Results: Nine patients underwent Axia-LIF one level system (L5-S1) and the rest two levels system (L4-S1). Ten patients were fixated with transpedicular percutaneous screws and one with facets joints screws. No intraoperative complications were reported. The mean back pain severity improved 57% in 12 months, and the mean leg pain severity improved 50% in

No abstract