Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Dharmendra Gurve"'
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
Publikováno v:
Sensors, Vol 20, Iss 13, p 3703 (2020)
The tremendous progress of big data acquisition and processing in the field of neural engineering has enabled a better understanding of the patient’s brain disorders with their neural rehabilitation, restoration, detection, and diagnosis. An integr
Externí odkaz:
https://doaj.org/article/7f57532462964b92abef26b0523a5e4a
Autor:
Vivianne Flávia Cardoso, Denis Delisle-Rodriguez, Maria Alejandra Romero-Laiseca, Flávia A. Loterio, Dharmendra Gurve, Alan Floriano, Sridhar Krishnan, Anselmo Frizera-Neto, Teodiano Freire Bastos Filho
Publikováno v:
Research on Biomedical Engineering. 38:439-449
Autor:
Hamilton Rivera-Flor, Dharmendra Gurve, Alan Floriano, Denis Delisle-Rodriguez, Ricardo Mello, Teodiano Bastos-Filho
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Autor:
Dharmendra Gurve, Sridhar Krishnan
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 24:669-680
Performing a fetal electrocardiogram (ECG) analysis, which contains important information about the status of a fetal, can help to detect fetus health even before birth. Since the fetal ECG extracted from the ECG signal recorded from the mother's abd
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Biomarkers in neurophysiological signals can be analyzed to determine indicators of mood disorders for diagnosis. In this paper, EEG signals were analyzed from a public database of 119 subjects ages 18 to 24 performing a cognitive task. 45 subjects h
Autor:
Sridhar Krishnan, Dharmendra Gurve, Leticia Silva, Denis Delisle-Rodriguez, Teodiano Bastos-Filho, Vivianne Cardoso
Publikováno v:
SMC
Stroke is a neurological syndrome that may affect upper and lower limbs functions of post-stroke survivors. Brain-Computer Interfaces (BCIs) are becoming as a promising alter-native to help post-stroke patients rehabilitation, although there are very
Autor:
Leondry Mayeta-Revilla, Sri Krishnan, Alberto López-Delis, Denis Delisle-Rodriguez, Ramon A. Reinoso-Leblanch, Adson Ferreira da Rocha, Dharmendra Gurve, Yunier Prieur-Coloma, Teodiano Bastos
Publikováno v:
EMBC
This work presents two brain-computer interfaces (BCIs) for shoulder pre-movement recognition using: 1) manual strategy for Electroencephalography (EEG) channels selection, and 2) subject-specific channels selection by applying non-negative factoriza
Autor:
André Ferreira, Eduardo Henrique Couto Montenegro, Sandra Mara Torres Muller, Vivianne Cardoso, Alan Floriano, Celso De La Cruz Casaño, Jessica Paola Souza Lima, Alexandre Pomer-Escher, Anselmo Frizera-Neto, Teodiano Bastos-Filho, Jeevan K. Pant, Eliete Caldeira, Richard Junior Manuel Godinez-Tello, Alexandre Luís Cardoso Bissoli, Denis Delisle Rodriguez, Ana Cecilia Villa-Parra, Flavia Loterio, Javier Ferney Castillo Garcia, Christiane Goulart, Maria Dolores Pinheiro de Souza, Mario Sarcinelli-Filho, Leandro Bueno, Dharmendra Gurve, Hamilton Rivera-Flor, Sridhar Krishnan, Muhammad Hasan, Alejandra Romero-Laiseca, Anibal Cotrina Atencio, Kevin A. Hernandez-Ossa, Thomaz Rodrigues Botelho, Berthil Longo
Publikováno v:
Introduction to Non-Invasive EEG-Based Brain–Computer Interfaces for Assistive Technologies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ea23043e0f3ef565a962cda382c9efc
https://doi.org/10.1201/9781003049159-3
https://doi.org/10.1201/9781003049159-3
Publikováno v:
Sensors, Vol 20, Iss 3703, p 3703 (2020)
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
The tremendous progress of big data acquisition and processing in the field of neural engineering has enabled a better understanding of the patient’s brain disorders with their neural rehabilitation, restoration, detection, and diagnosis. An integr