Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Maria Alejandra Romero Laiseca"'
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Akademický článek
Effect of a Brain–Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity
Autor: Vivianne Flávia Cardoso, Denis Delisle-Rodriguez, Maria Alejandra Romero-Laiseca, Flávia A. Loterio, Dharmendra Gurve, Alan Floriano, Carlos Valadão, Leticia Silva, Sridhar Krishnan, Anselmo Frizera-Neto, Teodiano Freire Bastos-Filho
Publikováno v: Sensors, Vol 21, Iss 6, p 2020 (2021)
Recently, studies on cycling-based brain–computer interfaces (BCIs) have been standing out due to their potential for lower-limb recovery. In this scenario, the behaviors of the sensory motor rhythms and the brain connectivity present themselves as
Externí odkaz: https://doaj.org/article/f1de807c5a4942dea6fcf3fac765796e
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3
A Low-Cost Lower-Limb Brain-Machine Interface Triggered by Pedaling Motor Imagery for Post-Stroke Patients Rehabilitation
Autor: Teodiano Bastos-Filho, Jorge Henrique Posses Nascimento, Vivianne Cardoso, Maria Alejandra Romero-Laiseca, Dharmendra Gurve, Sridhar Krishnan, Anselmo Frizera-Neto, Denis Delisle-Rodriguez, Flavia Loterio
Publikováno v: IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 28(4)
A low-cost Brain-Machine Interface (BMI) based on electroencephalography for lower-limb motor recovery of post-stroke patients is proposed here, which provides passive pedaling as feedback, when patients trigger a Mini-Motorized Exercise Bike (MMEB)
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::660f0afab6207cd9e3f5287751e725ac
https://pubmed.ncbi.nlm.nih.gov/32078552
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4
Subject-specific EEG channel selection using non-negative matrix factorization for lower-limb motor imagery recognition
Autor: Sri Krishnan, Maria Alejandra Romero-Laiseca, Denis Delisle-Rodriguez, Teodiano Bastos, Vivianne Cardoso, Flavia Loterio, Dharmendra Gurve
Publikováno v: Journal of neural engineering. 17(2)
Objective This study aims to propose and validate a subject-specific approach to recognize two different cognitive neural states (relax and pedaling motor imagery (MI)) by selecting the relevant electroencephalogram (EEG) channels. The main aims of t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0442116dd66103b527401bc33bee8b5d
https://pubmed.ncbi.nlm.nih.gov/31614343
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5
System based on subject-specific bands to recognize pedaling motor imagery: towards a BCI for lower-limb rehabilitation
Autor: Teodiano Bastos-Filho, Maria Alejandra Romero-Laiseca, Vivianne Cardoso, Dharmendra Gurve, Sridhar Krishnan, Denis Delisle-Rodriguez, Flavia Loterio
Publikováno v: Journal of neural engineering. 16(5)
Objective. The aim of this study is to propose a recognition system of pedaling motor imagery for lower-limb rehabilitation, which uses unsupervised methods to improve the feature extraction, and consequently the class discrimination of EEG patterns.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31f6061a3ab09808124fd2935b4cd812
https://pubmed.ncbi.nlm.nih.gov/30786265
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6
Effect of a Brain–Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity
Autor: Denis Delisle-Rodriguez, Flavia Loterio, Teodiano Bastos-Filho, Alan Floriano, Carlos Valadão, Dharmendra Gurve, Leticia Silva, Sridhar Krishnan, Maria Alejandra Romero-Laiseca, Vivianne Cardoso, Anselmo Frizera-Neto
Publikováno v: Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 6
Sensors, Vol 21, Iss 2020, p 2020 (2021)
Recently, studies on cycling-based brain–computer interfaces (BCIs) have been standing out due to their potential for lower-limb recovery. In this scenario, the behaviors of the sensory motor rhythms and the brain connectivity present themselves as
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee96d18018fbc909934793514744240a
https://doi.org/10.3390/s21062020
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