Wavelet-based EEG denoising for automatic sleep stage classification
In automatic sleep stage classification, as in any other signal processing task involving the
easily contaminated EEG signals, denoising constitutes a crucial pre-processing step that …
easily contaminated EEG signals, denoising constitutes a crucial pre-processing step that …
[HTML][HTML] Evaluación del aporte de la covarianza de las señales electroencefalográficas a las interfaces cerebro-computador de imaginación motora para pacientes …
Las interfaces cerebro-computadora no invasivas basadas en EEG de maginación motora
(miBCI) prometen restaurar efectivamente el control motor a pacientes con discapacidades …
(miBCI) prometen restaurar efectivamente el control motor a pacientes con discapacidades …
[HTML][HTML] Unveiling Visual Physiology and Steady-State Evoked Potentials using Low-Cost and Transferable Electroencephalography for Evaluating Neuronal …
V Henao Isaza, V Cadavid Castro… - International Journal of …, 2024 - scielo.org.co
HENAO ISAZA, Verónica et al. Unveiling Visual Physiology and Steady-State Evoked
Potentials using Low-Cost and Transferable Electroencephalography for Evaluating …
Potentials using Low-Cost and Transferable Electroencephalography for Evaluating …
[PDF][PDF] Acquisition, analysis and classification of EEG signals for control design
Abstract In the design of brain machine interfaces it is common to use motor imagery which
is the mental simulation of a motor act, it consists of acquiring the signals emitted when …
is the mental simulation of a motor act, it consists of acquiring the signals emitted when …
CMOS transistor sizing for minimization of energy-delay product
C Tretz, C Zukowski - Proceedings of the Sixth Great Lakes …, 1996 - ieeexplore.ieee.org
In this paper, we revisit three of the well known optimization results in CMOS transistor sizing
with the energy-delay product as a new metric. We study the absolute sizes of and the ratio …
with the energy-delay product as a new metric. We study the absolute sizes of and the ratio …
[HTML][HTML] Redes neuronales convolucionales para la clasificación de componentes independientes de rs-fMRI
L Mera-Jiménez, JF Ochoa-Gómez - TecnoLógicas, 2021 - scielo.org.co
La resonancia magnética funcional en estado de reposo (rs-fMRI) es una de las técnicas
más relevantes en exploración cerebral. No obstante, la misma es susceptible a muchos …
más relevantes en exploración cerebral. No obstante, la misma es susceptible a muchos …
[图书][B] Computer-aided detection of sleep apnea and sleep stage classification using HRV and EEG signals
EF Estrada - 2010 - search.proquest.com
Sleep is a circadian rhythm essential for human life. Many events occur in the body during
this state. In the past, significant efforts have been made to provide clinicians with reliable …
this state. In the past, significant efforts have been made to provide clinicians with reliable …
Diseño e implementación de un equipo de neurofeedback para el tratamiento tipo hiperactivo-impulsivo del trastorno por déficit de atención e hiperactividad (TDAH) …
JF García Morales, MÁ Rueda Diaz - repositorio.unbosque.edu.co
[PDF][PDF] Trabajo de Grado
F Morales, CAG Garcia, CAH Henao, LCM Cerero… - 2016 - repository.ucc.edu.co
El departamento del Meta es una de las zonas con más violencia en el país, siendo esta
área de objetivo militar para las Fuerzas Armadas Revolucionarias de Colombia-Ejército del …
área de objetivo militar para las Fuerzas Armadas Revolucionarias de Colombia-Ejército del …
[PDF][PDF] Assessing the Contribution of Covariance Information to the Electroencephalographic Signals of Brain–Computer Interfaces for Spinal Cord Injury Patients
C Ferrin-Bolaños, H Loaiza-Correa, J Pierre-Díaz… - TecnoLógicas, 2019 - core.ac.uk
Non-invasive EEG-based motor imagery brain–computer interfaces (miBCIs) promise to
effectively restore the motor control of motor-impaired patients with conditions that include …
effectively restore the motor control of motor-impaired patients with conditions that include …