Zobrazeno 1 - 10
of 167
pro vyhledávání: '"German Castellanos Dominguez"'
Autor:
Marcos Loaiza-Arias, Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Gutierrez, German Castellanos-Dominguez
Publikováno v:
Applied Sciences, Vol 14, Iss 23, p 11208 (2024)
Brain–computer interfaces (BCIs) are essential in advancing medical diagnosis and treatment by providing non-invasive tools to assess neurological states. Among these, motor imagery (MI), in which patients mentally simulate motor tasks without phys
Externí odkaz:
https://doaj.org/article/95fe16b456ae45c3b5cbc6e7b98a3d38
Publikováno v:
Computers, Vol 13, Iss 7, p 176 (2024)
Nonlinear optimization (NOPT) is a meaningful tool for solving complex tasks in fields like engineering, economics, and operations research, among others. However, NOPT has problems when it comes to dealing with data variability and noisy input measu
Externí odkaz:
https://doaj.org/article/f631028aa23a4e0eae94b3cab8ff8d73
Akademický článek
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Publikováno v:
Computers, Vol 12, Iss 7, p 145 (2023)
Brain–computer interfaces (BCIs) from electroencephalography (EEG) provide a practical approach to support human–technology interaction. In particular, motor imagery (MI) is a widely used BCI paradigm that guides the mental trial of motor tasks w
Externí odkaz:
https://doaj.org/article/5741e9b5b54942bd9a2cc3e48473e004
Publikováno v:
Computation, Vol 11, Iss 6, p 113 (2023)
Regional neuraxial analgesia for pain relief during labor is a universally accepted, safe, and effective procedure involving administering medication into the epidural. Still, an adequate assessment requires continuous patient monitoring after cathet
Externí odkaz:
https://doaj.org/article/6d4e921a3f8941a0aa74b5261686b6f9
Autor:
Andrés Marino Álvarez-Meza, Héctor Fabio Torres-Cardona, Mauricio Orozco-Alzate, Hernán Darío Pérez-Nastar, German Castellanos-Dominguez
Publikováno v:
Sensors, Vol 23, Iss 12, p 5574 (2023)
Sound synthesis refers to the creation of original acoustic signals with broad applications in artistic innovation, such as music creation for games and videos. Nonetheless, machine learning architectures face numerous challenges when learning musica
Externí odkaz:
https://doaj.org/article/f81461cd95214c1ca2b51dd96105efe7
Autor:
Yu-Dong Zhang, German Castellanos-Dominguez, Yuankai Huo, Juan Manuel Gorriz, Roohallah Alizadehsani
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Externí odkaz:
https://doaj.org/article/4365b8567ffb4f69a5ed0cd073131754
Autor:
Yeison Nolberto Cardona-Álvarez, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño-Duque, German Castellanos-Dominguez
Publikováno v:
Sensors, Vol 23, Iss 7, p 3763 (2023)
An Open Brain–Computer Interface (OpenBCI) provides unparalleled freedom and flexibility through open-source hardware and firmware at a low-cost implementation. It exploits robust hardware platforms and powerful software development kits to create
Externí odkaz:
https://doaj.org/article/04955b97398842b5b6f94848e8d7a370
Autor:
Jenniffer Carolina Triana-Martinez, Julian Gil-González, Jose A. Fernandez-Gallego, Andrés Marino Álvarez-Meza, Cesar German Castellanos-Dominguez
Publikováno v:
Sensors, Vol 23, Iss 7, p 3518 (2023)
Supervised learning requires the accurate labeling of instances, usually provided by an expert. Crowdsourcing platforms offer a practical and cost-effective alternative for large datasets when individual annotation is impractical. In addition, these
Externí odkaz:
https://doaj.org/article/f2af93c79b4948c9ba5a4126634a127a
Autor:
Daniel Guillermo García-Murillo, Andrés Marino Álvarez-Meza, Cesar German Castellanos-Dominguez
Publikováno v:
Diagnostics, Vol 13, Iss 6, p 1122 (2023)
This paper uses EEG data to introduce an approach for classifying right and left-hand classes in Motor Imagery (MI) tasks. The Kernel Cross-Spectral Functional Connectivity Network (KCS-FCnet) method addresses these limitations by providing richer sp
Externí odkaz:
https://doaj.org/article/b33b02d11c874dae97e4b0b600671345