@inproceedings{720f1dd1a75c4b6cb4dc3fbada9330bd,
title = "Captura y an{\'a}lisis de potenciales visuales en estado estacionario usando tecnolog{\'i}a portable y de bajo costo",
abstract = "Increasing life expectancy means a greater number of adults with visual impairment. The most used methods of visual assessment are based on optotype charts such as the Snellen chart, but these methods imply an oral response from the patient, something that in some populations is not possible to obtain. In the present research we seek to evaluate the ability of a portable device to capture steady-state visual evoked potentials (SSVEP) through electroencephalographic (EEG) signals, as a first phase for the development of EEG-based tools to support conventional visual assessment techniques. Using the OpenBCI device, signals were captured from 49 healthy adults during rest and during subsequent stimulus presentation at a sweep frequency of 4Hz. These signals were analyzed in the frequency domain and the harmonic onset related to the stimulation frequency was evaluated by statistical tests. The results of the current phase show that the device allows to capture SSVEP related to visual stimulation, opening the door for the design of more complex stimulation experiments to better capture visual physiology for future clinical applications.",
keywords = "electroencephalography, SSVEP, visual assessment, portable devices",
author = "\{Suarez Escudero\}, \{Juan Camilo\} and Valeria Cadavid and Eliana Salas and Santiago Gonz{\'a}lez and Ver{\'o}nica Henao and Daniela Ortega and Ochoa, \{John Fredy\}",
year = "2021",
month = sep,
day = "15",
doi = "10.1109/stsiva53688.2021.9592014",
language = "Espa{\~n}ol",
series = "2021 XXIII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)",
pages = "1--6",
booktitle = "2021 XXIII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)",
}