Zobrazeno 1 - 10
of 70
pro vyhledávání: '"GERMAN CASTELLANOS-DOMINGUEZ"'
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
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Evaluation of brain dynamics elicited by motor imagery (MI) tasks can contribute to clinical and learning applications. The multi-subject analysis is to make inferences on the group/population level about the properties of MI brain activity. However,
Externí odkaz:
https://doaj.org/article/c2e191ecf021430f98750921e775d57e
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1695 (2022)
Brain activity stimulated by the motor imagery paradigm (MI) is measured by Electroencephalography (EEG), which has several advantages to be implemented with the widely used Brain–Computer Interfaces (BCIs) technology. However, the substantial inte
Externí odkaz:
https://doaj.org/article/c5786f11d0bd44748abd6344e41a04d6
Autor:
Diego Fabian Collazos-Huertas, Luisa Fernanda Velasquez-Martinez, Hernan Dario Perez-Nastar, Andres Marino Alvarez-Meza, German Castellanos-Dominguez
Publikováno v:
Sensors, Vol 21, Iss 15, p 5105 (2021)
Motor imagery (MI) promotes motor learning and encourages brain–computer interface systems that entail electroencephalogram (EEG) decoding. However, a long period of training is required to master brain rhythms’ self-regulation, resulting in user
Externí odkaz:
https://doaj.org/article/e81d454daaca4c4fb7309ea4f3da98fe
Autor:
Cristian Kaori Valencia-Marin, Juan Diego Pulgarin-Giraldo, Luisa Fernanda Velasquez-Martinez, Andres Marino Alvarez-Meza, German Castellanos-Dominguez
Publikováno v:
Sensors, Vol 21, Iss 13, p 4443 (2021)
Motion capture (Mocap) data are widely used as time series to study human movement. Indeed, animation movies, video games, and biomechanical systems for rehabilitation are significant applications related to Mocap data. However, classifying multi-cha
Externí odkaz:
https://doaj.org/article/3b6172aa4fbd454f865ceaa7f741d120
Autor:
Edgar F. Sierra-Alonso, Julian Caicedo-Acosta, Álvaro Ángel Orozco Gutiérrez, Héctor F. Quintero, German Castellanos-Dominguez
Publikováno v:
Applied Sciences, Vol 11, Iss 8, p 3369 (2021)
Vibration-condition monitoring aims to detect bearing damages of rotating machinery’s incipient failures mainly through time–frequency methods because of their efficient analysis of nonstationary signals. However, by having failures with impulse
Externí odkaz:
https://doaj.org/article/48d939e3442448b090edee782d6eade7
Publikováno v:
Sensors, Vol 21, Iss 8, p 2750 (2021)
Motor learning is associated with functional brain plasticity, involving specific functional connectivity changes in the neural networks. However, the degree of learning new motor skills varies among individuals, which is mainly due to the between-su
Externí odkaz:
https://doaj.org/article/999f08689aa6462a94ba6e5708091dc3