EEG waveform analysis of P300 ERP with applications to brain computer interfaces

"The Electroencephalography (EEG) is not just a mere clinical tool anymore. It has become the de-facto mobile, portable, non-invasive brain imaging sensor to harness brain information in real time. It is now being used to translate or decode brain signals, to diagnose diseases or to implement B...

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Autores principales: Ramele, Rodrigo, Villar, Ana Julia, Santos, Juan Miguel
Formato: Artículos de Publicaciones Periódicas publishedVersion
Lenguaje:Inglés
Publicado: 2019
Materias:
ONDAS
ELECTROENCEFALOGRAFIA
INTERFAZ CEREBRO COMPUTADORA
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1578
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Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-1578
record_format dspace
spelling I32-R138-123456789-15782022-12-07T13:06:59Z EEG waveform analysis of P300 ERP with applications to brain computer interfaces Ramele, Rodrigo Villar, Ana Julia Santos, Juan Miguel ONDAS ELECTROENCEFALOGRAFIA INTERFAZ CEREBRO COMPUTADORA "The Electroencephalography (EEG) is not just a mere clinical tool anymore. It has become the de-facto mobile, portable, non-invasive brain imaging sensor to harness brain information in real time. It is now being used to translate or decode brain signals, to diagnose diseases or to implement Brain Computer Interface (BCI) devices. The automatic decoding is mainly implemented by using quantitative algorithms to detect the cloaked information buried in the signal. However, clinical EEG is based intensively on waveforms and the structure of signal plots. Hence, the purpose of this work is to establish a bridge to fill this gap by reviewing and describing the procedures that have been used to detect patterns in the electroencephalographic waveforms, benchmarking them on a controlled pseudo-real dataset of a P300-Based BCI Speller and verifying their performance on a public dataset of a BCI Competition." 2019-05-20T14:01:29Z 2019-05-20T14:01:29Z 2018-11 Artículos de Publicaciones Periódicas info:eu-repo/semantics/publishedVersion 2076-3425 http://ri.itba.edu.ar/handle/123456789/1578 en info:eu-repo/grantAgreement/ITBA/ITBACyT/15/AR. Ciudad Autónoma de Buenos Aires info:eu-repo/semantics/reference/doi:10.3390/brainsci8110199 https://creativecommons.org/licenses/by/4.0/ application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic ONDAS
ELECTROENCEFALOGRAFIA
INTERFAZ CEREBRO COMPUTADORA
spellingShingle ONDAS
ELECTROENCEFALOGRAFIA
INTERFAZ CEREBRO COMPUTADORA
Ramele, Rodrigo
Villar, Ana Julia
Santos, Juan Miguel
EEG waveform analysis of P300 ERP with applications to brain computer interfaces
topic_facet ONDAS
ELECTROENCEFALOGRAFIA
INTERFAZ CEREBRO COMPUTADORA
description "The Electroencephalography (EEG) is not just a mere clinical tool anymore. It has become the de-facto mobile, portable, non-invasive brain imaging sensor to harness brain information in real time. It is now being used to translate or decode brain signals, to diagnose diseases or to implement Brain Computer Interface (BCI) devices. The automatic decoding is mainly implemented by using quantitative algorithms to detect the cloaked information buried in the signal. However, clinical EEG is based intensively on waveforms and the structure of signal plots. Hence, the purpose of this work is to establish a bridge to fill this gap by reviewing and describing the procedures that have been used to detect patterns in the electroencephalographic waveforms, benchmarking them on a controlled pseudo-real dataset of a P300-Based BCI Speller and verifying their performance on a public dataset of a BCI Competition."
format Artículos de Publicaciones Periódicas
publishedVersion
author Ramele, Rodrigo
Villar, Ana Julia
Santos, Juan Miguel
author_facet Ramele, Rodrigo
Villar, Ana Julia
Santos, Juan Miguel
author_sort Ramele, Rodrigo
title EEG waveform analysis of P300 ERP with applications to brain computer interfaces
title_short EEG waveform analysis of P300 ERP with applications to brain computer interfaces
title_full EEG waveform analysis of P300 ERP with applications to brain computer interfaces
title_fullStr EEG waveform analysis of P300 ERP with applications to brain computer interfaces
title_full_unstemmed EEG waveform analysis of P300 ERP with applications to brain computer interfaces
title_sort eeg waveform analysis of p300 erp with applications to brain computer interfaces
publishDate 2019
url http://ri.itba.edu.ar/handle/123456789/1578
work_keys_str_mv AT ramelerodrigo eegwaveformanalysisofp300erpwithapplicationstobraincomputerinterfaces
AT villaranajulia eegwaveformanalysisofp300erpwithapplicationstobraincomputerinterfaces
AT santosjuanmiguel eegwaveformanalysisofp300erpwithapplicationstobraincomputerinterfaces
_version_ 1765661032760475648

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