Examinando por Autor "Kety Sifuentes"
Mostrando 1 - 2 de 2
- Resultados por página
- Opciones de ordenación
Publicación Sólo datos Algorithm for Processing and Visualizing Multispectral Images Captured by Drones(2022-08-29) Wilver Auccahuasi; Sandra Meza; Kety Sifuentes; Daysi Mancco; Lucas Herrera; Christian Ovalle; Hernando Martin Campos Martínez; Karin Rojas; Miryam Inciso-Rojas; Aly AuccahuasiWith the development of information and communication technologies, it has been possible to integrate advanced hardware solutions, presenting embedded systems, capable of presenting solutions in various areas, one of them is related to the presentation of low cost multispectral cameras, which have integrated several working bands, these can be placed in drones, which allows to capture images in several bands. In this work we performed an algorithm to analyze an image captured with a 6-band camera, which performs an analysis to determine the number of bands, the separation into individual bands and the operation of band algebra, the results show that you can analyze and process multispectral images, making various operations, depending on the use, the algorithm presented can be used with images that have different numbers of bands as well as different resolutions. The algorithm was implemented using the MATLAB tool, in the realization of all the processes.Publicación Sólo datos Low-Cost System for Recording Electroencephalography Signals(2022-08-29) Wilver Auccahuasi; Sandra Meza; Kety Sifuentes; Daysi Mancco; Lucas Herrera; Christian Ovalle; Hernando Martin Campos Martínez; Karin Rojas; Miryam Inciso-Rojas; Aly AuccahuasiInformation and communication technologies present us with a variety of equipment that can measure physiological signals at affordable costs, which in previous years could pay high costs, one of these equipment is the recording of EEG signals, with a single solid state sensor, the MindWave - NeuroSky equipment, which is normally used to measure the state of meditation and concentration. In the present work we present a not widely used configuration of this device, for recording EEG signals, as a result, we present the EEG signals, in the following order delta, theta, low-alpha, high-alpha, low-beta, high-beta, low-gamma and mid-gamma. As a result we present in graphical mode, each of the signals, the presented method can be used in the diagnosis of different pathologies related to the behavior of the brain.
