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.
| Original language | Spanish |
|---|---|
| Title of host publication | 2021 XXIII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) |
| Pages | 1-6 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 15 Sep 2021 |
Publication series
| Name | 2021 XXIII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) |
|---|
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
Types Minciencias
- Scientific events with a public engagement component
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