The design and development of a vital signs monitor with wireless connection intended for an intensive care unit considering the variables of electrocardiography, oximetry, pneumography, temperature, heart rate, respiratory 203

In this paper, the development of a system of automation and control designed for the optimization of the operation of an industrial dryer is presented. The system was divided in three stages, such as: acquisition of variables, design of interfaces and the programming of the system. A series of transducers for the variables were used in the first stage. The development of the electronic circuits was used as an interface with the acquisition and processing of data card NI myRIO-1900. The stage of the development of the programming was made through the software known as LabVIEW, using a PID controller for the development of each control giving: temperature, relative humidity and air velocity. Controlling and visualizing these 3 parameters required a correct evolution on the dynamics of the drying process. The evolution of the variables described with the adjusted parameters is shown for PID controllers.

En el presente trabajo se muestra el desarrollo de un sistema de clasificación de malformaciones pédicas usando procesamiento digital de imágenes en LabVIEW. El sistema funciona en tres etapas: captura de las imágenes del pie, procesamiento de las imágenes y clasificación. Para la toma de las imágenes se utilizaron webcams colocadas en la base de un andador de hierro con superficie de acrílico, de manera que se obtiene la planta del pie. Posteriormente, se umbraliza la imagen adquirida usando el rango de intensidad en la zona donde se ubica la huella del pie de manera que se obtiene la superficie que hace contacto con el acrílico al momento de la pisada. A partir de la huella se obtienen las medidas de la longitud del arco y del ancho del pie, desde los cuales se calcula el porcentaje de relación entre estas mediciones. Finalmente, este porcentaje se ingresa a un sistema de lógica difusa, pudiendo clasificar las deformaciones en pie plano, normal, cavo, cavo fuerte y cavo extremo. Este sistema disminuye el tiempo de respuesta para clasificación de la deformación pédica por parte del especialista y permite el desarrollo de un sistema de apoyo al diagnóstico de la malformación. Palabras clave: LabVIEW, procesamiento digital de imágenes, lógica difusa, diagnóstico por imagen, malformación pédica.

This work shows the development of a Differential Neural Network (DNN) applied to an online processing to signal from a 12-lead electrocardiograph. This system was divided in three stages: Acquisition of the ECG signal, design and tracking of the DNN. Firstly, a 12-lead electrocardiograph with a hybrid processing was constructed. Acquiring 8 leads with the USB DAQ-6009 and calculating the other four by programming. Then, based on the theory of Differential Neural Networks, the algorithm is developed, determining the values of the network by trial and error tests. To finally visualize the tracking of the network through our virtual instrument. The use of this technique is very common in the analysis of complex nonlinear dynamical systems in engineering and medicine areas, showed an excellent performance in the description of electrocardiographic biopotentials developed in this work.

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