An embedded system for an EEG based BCI

Leandro Bueno; Jose L Pons; Teodiano Freire Bastos Filho

doi:10.1109/BRC.2013.6487457

An embedded system for an EEG based BCI

Leandro Bueno^*, Jose L Pons, Teodiano Freire Bastos Filho

^*Corresponding author for this work

Physical Medicine and Rehabilitation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

This paper presents the development of an embedded system designed to be used as an EEG based BCI system. The designed system is based on a set of microcontroller and Digital Signal Processor (DSP) in order to accomplish the processing of the signal, the storage and the communication required for the application. The system is completed with a Matlab script used to generate the classifier used in the DSP for identification of user's intentions, and a set of Windows programs used to show results of the classification and convert the acquired data to use on mathematical software, such as Matlab. Other use of the system is the integration of its communication channel in wheelchairs.

Original language	English (US)
Title of host publication	2013 ISSNIP-IEEE Biosignals and Biorobotics Conference
Subtitle of host publication	Biosignals and Robotics for Better and Safer Living, BRC 2013
DOIs	https://doi.org/10.1109/BRC.2013.6487457
State	Published - 2013
Event	2013 4th ISSNIP-IEEE Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2013 - Rio de Janeiro, Brazil Duration: Feb 18 2013 → Feb 20 2013

Publication series

Name	ISSNIP Biosignals and Biorobotics Conference, BRC
ISSN (Print)	2326-7771
ISSN (Electronic)	2326-7844

Conference

Conference	2013 4th ISSNIP-IEEE Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2013
Country/Territory	Brazil
City	Rio de Janeiro
Period	2/18/13 → 2/20/13

Keywords

Artificial Neural Networks
Brain-Computer Interface
DSP
Electroencephalography
Embedded System

ASJC Scopus subject areas

Bioengineering
Artificial Intelligence
Information Systems
Signal Processing

Access to Document

10.1109/BRC.2013.6487457

Cite this

@inproceedings{8180307ecc71439b92055e6b8cb97d7b,

title = "An embedded system for an EEG based BCI",

abstract = "This paper presents the development of an embedded system designed to be used as an EEG based BCI system. The designed system is based on a set of microcontroller and Digital Signal Processor (DSP) in order to accomplish the processing of the signal, the storage and the communication required for the application. The system is completed with a Matlab script used to generate the classifier used in the DSP for identification of user's intentions, and a set of Windows programs used to show results of the classification and convert the acquired data to use on mathematical software, such as Matlab. Other use of the system is the integration of its communication channel in wheelchairs.",

keywords = "Artificial Neural Networks, Brain-Computer Interface, DSP, Electroencephalography, Embedded System",

author = "Leandro Bueno and Pons, {Jose L} and {Bastos Filho}, {Teodiano Freire}",

year = "2013",

doi = "10.1109/BRC.2013.6487457",

language = "English (US)",

isbn = "9781467330244",

series = "ISSNIP Biosignals and Biorobotics Conference, BRC",

booktitle = "2013 ISSNIP-IEEE Biosignals and Biorobotics Conference",

note = "2013 4th ISSNIP-IEEE Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2013 ; Conference date: 18-02-2013 Through 20-02-2013",

}

Bueno, L, Pons, JL & Bastos Filho, TF 2013, An embedded system for an EEG based BCI. in 2013 ISSNIP-IEEE Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2013., 6487457, ISSNIP Biosignals and Biorobotics Conference, BRC, 2013 4th ISSNIP-IEEE Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2013, Rio de Janeiro, Brazil, 2/18/13. https://doi.org/10.1109/BRC.2013.6487457

An embedded system for an EEG based BCI. / Bueno, Leandro; Pons, Jose L; Bastos Filho, Teodiano Freire.
2013 ISSNIP-IEEE Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2013. 2013. 6487457 (ISSNIP Biosignals and Biorobotics Conference, BRC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An embedded system for an EEG based BCI

AU - Bueno, Leandro

AU - Pons, Jose L

AU - Bastos Filho, Teodiano Freire

PY - 2013

Y1 - 2013

N2 - This paper presents the development of an embedded system designed to be used as an EEG based BCI system. The designed system is based on a set of microcontroller and Digital Signal Processor (DSP) in order to accomplish the processing of the signal, the storage and the communication required for the application. The system is completed with a Matlab script used to generate the classifier used in the DSP for identification of user's intentions, and a set of Windows programs used to show results of the classification and convert the acquired data to use on mathematical software, such as Matlab. Other use of the system is the integration of its communication channel in wheelchairs.

AB - This paper presents the development of an embedded system designed to be used as an EEG based BCI system. The designed system is based on a set of microcontroller and Digital Signal Processor (DSP) in order to accomplish the processing of the signal, the storage and the communication required for the application. The system is completed with a Matlab script used to generate the classifier used in the DSP for identification of user's intentions, and a set of Windows programs used to show results of the classification and convert the acquired data to use on mathematical software, such as Matlab. Other use of the system is the integration of its communication channel in wheelchairs.

KW - Artificial Neural Networks

KW - Brain-Computer Interface

KW - DSP

KW - Electroencephalography

KW - Embedded System

UR - http://www.scopus.com/inward/record.url?scp=84876745937&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84876745937&partnerID=8YFLogxK

U2 - 10.1109/BRC.2013.6487457

DO - 10.1109/BRC.2013.6487457

M3 - Conference contribution

AN - SCOPUS:84876745937

SN - 9781467330244

T3 - ISSNIP Biosignals and Biorobotics Conference, BRC

BT - 2013 ISSNIP-IEEE Biosignals and Biorobotics Conference

T2 - 2013 4th ISSNIP-IEEE Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2013

Y2 - 18 February 2013 through 20 February 2013

ER -

An embedded system for an EEG based BCI

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this