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On the usage of linear regression models to reconstruct limb kinematics from low frequency EEG signals

PloS one, 2013-04, Vol.8 (4), p.e61976-e61976

2013

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Single-Option P300-BCI Performance Is Affected by Visual Stimulation Conditions

Sensors (Basel, Switzerland), 2020-12, Vol.20 (24), p.7198

2020

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Deep Learning for Gravitational-Wave Data Analysis: A Resampling White-Box Approach

Sensors (Basel, Switzerland), 2021-05, Vol.21 (9), p.3174

2021

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Evaluation of a P300-Based Brain-Machine Interface for a Robotic Hand-Orthosis Control

Frontiers in neuroscience, 2020-11, Vol.14, p.589659-589659

2020

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Functional Connectivity and Frequency Power Alterations during P300 Task as a Result of Amyotrophic Lateral Sclerosis

Sensors (Basel, Switzerland), 2021-10, Vol.21 (20), p.6801

2021

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EEG-Based Detection of Braking Intention Under Different Car Driving Conditions

Frontiers in neuroinformatics, 2018-05, Vol.12, p.29-29

2018

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SSVEP detection assessment by combining visual stimuli paradigms and no-training detection methods

Frontiers in neuroscience, 2023-05, Vol.17, p.1142892-1142892

2023

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Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface

Frontiers in neuroinformatics, 2022-09, Vol.16, p.961089-961089

2022

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Anticipatory Detection of Self-Paced Rehabilitative Movements in the Same Upper Limb From EEG Signals

IEEE access, 2020, Vol.8, p.119728-119743

2020

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EEG-Based Classification of Spoken Words Using Machine Learning Approaches

Computation, 2023-11, Vol.11 (11), p.225

2023

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Brain-Computer Interface Controlled Functional Electrical Stimulation: Evaluation With Healthy Subjects and Spinal Cord Injury Patients

IEEE access, 2022, Vol.10, p.46834-46852

2022

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Decoding Upper Limb Movement Attempt From EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients

IEEE transactions on biomedical engineering, 2017-01, Vol.64 (1), p.99-111

2017

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Comparative analysis of spectral and temporal combinations in CSP-based methods for decoding hand motor imagery tasks

Journal of neuroscience methods, 2022-04, Vol.371, p.109495-109495, Article 109495

2022

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An independent search of gravitational waves in the first observation run of advanced LIGO using cross-correlation

General relativity and gravitation, 2019-05, Vol.51 (5), p.1-17, Article 61

2019

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Spiking Neural Networks applied to the classification of motor tasks in EEG signals

Neural networks, 2020-02, Vol.122, p.130-143

2020

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A search for distinctive footprints of compact binary coalescence within alternatives theories of gravity

European physical journal plus, 2023-05, Vol.138 (5), p.427, Article 427

2023

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Enabling Real-time Multi-messenger Astrophysics Discoveries with Deep Learning

Nature reviews physics, 2019-10, Vol.1 (10), p.600-608

2019

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Post-Newtonian approximation of gravitational waves from the inspiral phase

Journal of physics. Conference series, 2018-05, Vol.1030 (1), p.12005

2018

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Upper Limb Recovery in Cervical Spinal Cord Injury After a Brain-Computer Interface Controlled Functional Electrical Stimulation Intervention

Journal of medical and biological engineering, 2023-10, Vol.43 (5), p.522-531

2023

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Obtaining gravitational waves from inspiral binary systems using LIGO data

European physical journal plus, 2017-01, Vol.132 (1), p.10, Article 10

2017

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DYNAMO: Concurrent dynamic multi-model source localization method for EEG and/or MEG

Journal of neuroscience methods, 2013-01, Vol.212 (1), p.28-42

2013

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A fast EMG-based algorithm for upper-limb motion intention detection by using Levant's differentiators

IEEE access, 2022, Vol.10, p.1-1

2022

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Erratum to: Obtaining gravitational waves from inspiral binary systems using LIGO data

European physical journal plus, 2017-02, Vol.132 (2), p.103, Article 103

2017

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Detecting the Intention to Move Upper Limbs from Electroencephalographic Brain Signals

Computational and mathematical methods in medicine, 2016-01, Vol.2016, p.3195373-11

2016

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A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation

IEEE transactions on robotics, 2009-06, Vol.25 (3), p.614-627

2009

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IEEE_Xplore

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On the usage of linear regression models to reconstruct limb kinematics from low frequency EEG signals

Single-Option P300-BCI Performance Is Affected by Visual Stimulation Conditions

Deep Learning for Gravitational-Wave Data Analysis: A Resampling White-Box Approach

Evaluation of a P300-Based Brain-Machine Interface for a Robotic Hand-Orthosis Control

Functional Connectivity and Frequency Power Alterations during P300 Task as a Result of Amyotrophic Lateral Sclerosis

EEG-Based Detection of Braking Intention Under Different Car Driving Conditions

SSVEP detection assessment by combining visual stimuli paradigms and no-training detection methods

Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface

Anticipatory Detection of Self-Paced Rehabilitative Movements in the Same Upper Limb From EEG Signals

EEG-Based Classification of Spoken Words Using Machine Learning Approaches

Brain-Computer Interface Controlled Functional Electrical Stimulation: Evaluation With Healthy Subjects and Spinal Cord Injury Patients

Decoding Upper Limb Movement Attempt From EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients

Comparative analysis of spectral and temporal combinations in CSP-based methods for decoding hand motor imagery tasks

An independent search of gravitational waves in the first observation run of advanced LIGO using cross-correlation

Spiking Neural Networks applied to the classification of motor tasks in EEG signals

A search for distinctive footprints of compact binary coalescence within alternatives theories of gravity

Enabling Real-time Multi-messenger Astrophysics Discoveries with Deep Learning

Post-Newtonian approximation of gravitational waves from the inspiral phase

Upper Limb Recovery in Cervical Spinal Cord Injury After a Brain-Computer Interface Controlled Functional Electrical Stimulation Intervention

Obtaining gravitational waves from inspiral binary systems using LIGO data

DYNAMO: Concurrent dynamic multi-model source localization method for EEG and/or MEG

A fast EMG-based algorithm for upper-limb motion intention detection by using Levant's differentiators

Erratum to: Obtaining gravitational waves from inspiral binary systems using LIGO data

Detecting the Intention to Move Upper Limbs from Electroencephalographic Brain Signals

A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation

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