Apply telemetry in biomedical signal monitoring allows to control parameters continuously patients preventing future health complications and increasing the efficiency of the medical staff, through these systems, can serve more patients at a time. This article discusses the importance of telemetry in biomedical signal monitoring and designing a prototype with a Bluetooth transmission module electrocardiographic signal (ECG). The design presented ranging from the digitization of the signal and its transmission via bluetooth to your reception and visualization software implemented in Android supervisor. In testing apparatus is employed for amplifying the ECG signal (which is in the order of millivolts) to a voltage range suitable for scanning. Emphasizes not cover the acquisition stage of the signal it is assumed that the signal is amplified.
Algorithms for extracting information about the structures present in an image are known as segmentation algorithms and play an important role in numerous biomedical applications where the images are the primary source of information. Image segmentation is a fundamental process in the area of medicine, although many alternatives have been proposed to solve the problem properly segment the objects that make up a scene, there is still one that can meet all the requirements that arise in this types of applications. Through this work we propose a method to segment, automatically, lungs obtained from computed tomography images through region growing. The starting point for the segmentation (seed) is obtained from the location of certain anatomical markers generated by a detection process implemented with Support Vector Machines least squares (LS-SVM) and interpolation of these by cubic spline in order to find a centroid of the contour obtained.
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