A Matlab/Simulink framework for real time implementation of endogenous brain computer interfaces

Matanga, Yves; Djouani, Karim; Anish, Kurien

doi:10.1109/afrcon.2017.8095463

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…We have identified some major platforms (OpenVibe, OpenBCI GUI, MATLAB/Simulink, and LABVIEW) [ 105 , 106 , 107 ], that were used in our review results, and other additional ones (Wyrm, BCI2000, BCILAB and Gumpy) [ 103 , 108 , 109 , 110 , 111 , 112 , 113 , 114 ], which, although not used in the aforementioned BCW systems, are also specifically aimed at BCI development and therefore worth mentioning.…”

Section: Mi-based Bcw Elementsmentioning

confidence: 99%

“…Commercial high-level platforms (MATLAB, Simulink or LabVIEW) have been used in several real-time BCI demonstrations. MATLAB (MARrix LABoratory, The MathWorks, Inc., Natick, MA, USA) is also a powerful tool for researchers to test models and algorithms in the BCI field, benefiting from resourceful toolboxes and an easy implementation process [ 107 ]. It is configured with a commercial programming language for numerical computing that supports Linux, Windows, and MacOs X.…”

Section: Mi-based Bcw Elementsmentioning

confidence: 99%

See 1 more Smart Citation

Motor-Imagery EEG-Based BCIs in Wheelchair Movement and Control: A Systematic Literature Review

Palumbo

Gramigna

Calabrese

et al. 2021

Sensors

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The pandemic emergency of the coronavirus disease 2019 (COVID-19) shed light on the need for innovative aids, devices, and assistive technologies to enable people with severe disabilities to live their daily lives. EEG-based Brain-Computer Interfaces (BCIs) can lead individuals with significant health challenges to improve their independence, facilitate participation in activities, thus enhancing overall well-being and preventing impairments. This systematic review provides state-of-the-art applications of EEG-based BCIs, particularly those using motor-imagery (MI) data, to wheelchair control and movement. It presents a thorough examination of the different studies conducted since 2010, focusing on the algorithm analysis, features extraction, features selection, and classification techniques used as well as on wheelchair components and performance evaluation. The results provided in this paper could highlight the limitations of current biomedical instrumentations applied to people with severe disabilities and bring focus to innovative research topics.

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Section: Mi-based Bcw Elementsmentioning

confidence: 99%

Section: Mi-based Bcw Elementsmentioning

confidence: 99%

Motor-Imagery EEG-Based BCIs in Wheelchair Movement and Control: A Systematic Literature Review

Palumbo

Gramigna

Calabrese

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Matlab is also a powerful tool for researchers to test models and algorithms in the BCI field, benefiting from resourceful toolboxes and easy implementation process [81]. It was adopted in most of the summarised studies.…”

Section: E Software Platformsmentioning

confidence: 99%

Motor-Imagery EEG-based BCIs in Wheelchairs Movement and Control: A Systematic Literature Review

Palumbo¹,

Gramigna²,

Calabrese³

et al. 2021

Preprint

View full text Add to dashboard Cite

The pandemic emergency of the coronavirus disease 2019 (COVID-19) shed light on the need for innovative aids, devices and assistive technologies to enable people with severe disabilities to live their daily lives. EEG-based Brain-Computer Interfaces (BCIs) can lead individuals with significant health challenges to improve their independence, facilitate participation in activities, thus enhancing overall well-being and preventing impairments. This systematic review provides state-of-the-art applications of EEG-based BCIs, particularly those using motor-imagery (MI) data, to wheelchair control and movement. It presents a thorough examination of the different studies conducted since 2010, focusing on the algorithm analysis, features extraction, features selection and classification techniques used, and wheelchair components and performance evaluation. The results provided in this paper could highlight the limitations of current biomedical instrumentations applied to people with severe disabilities in the pandemic context of Covid-19 and bring focus to innovative research topics.

show abstract

A Matlab/Simulink framework for real time implementation of endogenous brain computer interfaces

Cited by 2 publications

References 5 publications

Motor-Imagery EEG-Based BCIs in Wheelchair Movement and Control: A Systematic Literature Review

Motor-Imagery EEG-Based BCIs in Wheelchair Movement and Control: A Systematic Literature Review

Motor-Imagery EEG-based BCIs in Wheelchairs Movement and Control: A Systematic Literature Review

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