@article{MAKHILLJEAS202015218963,
    title = {Review of Steady State Visually Evoked Potential Brain-Computer Interface
Applications: Technological Analysis and Classification},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {2},
    pages = {659-678},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.659.678},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.659.678},
    author = {Sang,Kelvin,José Luis and},
    keywords = {BCI,steady state visually evoked potentials,Brain computer interface,SSVEP,BCI applications,electroencephalography},
    abstract = {Brain-computer interface is a technology which creates a new way of communication between a
person’s brain and the external world. To achieve this objective, the brainwaves of a person must be gathered
by using specialized devices and then classified in different categories that are associated with specific
commands. In the process of brainwave gathering, brain activities of a person can be influenced by different
types of stimuli to get the desired results and one of the most important and popular stimuli used in this field
is steady state visually evoked potential. Based on this background, this review seeks to show and analyze a
series of articles that have been executed around the world related to brain-computer interface applications
using steady state visually evoked potential. This review has been executed with the objective of identifying
the advantages and limitations of utilizing steady state visually evoked potentials, its main areas of application
and the future challenges. Additionally, this review analyzes the different technologies involved to the
implementation of state visually evoked potential systems such as signal classification techniques,
electroencephalography devices, channels, verification metrics and experimental environments used in the
research projects. In summary, this review intends to guide the scientific community about the different aspects
involved in conducting research on the development of brain-computer interface applications using
electroencephalography devices and steady state visually evoked potential.}
    }