A. Sburlea

发表

EEG patterns of self-paced movement imaginations towards externally-cued and internally-selected targets

J. Pereira, A. Sburlea, G. Müller-Putz, 2018, Scientific Reports.

Decoding natural reach-and-grasp actions from human EEG

J. Pereira, A. Sburlea, G. Müller-Putz, 2018, Journal of neural engineering.

Detecting intention to walk in stroke patients from pre-movement EEG correlates

L. Montesano, A. Sburlea, J. Minguez, 2015, Journal of NeuroEngineering and Rehabilitation.

Inter- and Intra-individual Variability in Brain Oscillations During Sports Motor Imagery

A. Sburlea, G. Müller-Putz, S. Wriessnegger, 2020, Frontiers in Human Neuroscience.

The effects of light , priming and positive reinforcement on cognitive performance

A. Sburlea, M. Poel, 2012 .

Continuous 2D trajectory decoding from attempted movement: across-session performance in able-bodied and feasibility in a spinal cord injured participant

A. Sburlea, G. Müller-Putz, V. Mondini, 2022, Journal of neural engineering.

Directional Decoding From EEG in a Center-Out Motor Imagery Task With Visual and Vibrotactile Guidance

A. Sburlea, G. Müller-Putz, Lea Hehenberger, 2021, Frontiers in Human Neuroscience.

Distance- and speed-informed kinematics decoding improves M/EEG based upper-limb movement decoder accuracy

Andreea Ioana Sburlea, Gernot R. Müller-Putz, Masayuki Hirata, 2020, Journal of neural engineering.

Assessing the impact of vibrotactile kinaesthetic feedback on electroencephalographic signals in a center-out task

Gernot R Müller-Putz, Andreea I Sburlea, Lea Hehenberger, 2020, Journal of neural engineering.

Continuous low-frequency EEG decoding of arm movement for closed-loop, natural control of a robotic arm

Andreea Ioana Sburlea, Gernot R Müller-Putz, Reinmar Josef Kobler, 2020, Journal of neural engineering.

Distinct cortical networks for hand movement initiation and directional processing: An EEG study

Gernot R. Müller-Putz, Reinmar J. Kobler, Andreea I. Sburlea, 2020, NeuroImage.

Corneo-retinal-dipole and eyelid-related eye artifacts can be corrected offline and online in electroencephalographic and magnetoencephalographic signals

Reinmar J. Kobler, A. Sburlea, G. Müller-Putz, 2020, NeuroImage.

Using machine learning to reveal the population vector from EEG signals

Andreea Ioana Sburlea, Gernot R Müller-Putz, Reinmar Josef Kobler, 2020, Journal of neural engineering.

HEAR to remove pops and drifts: the high-variance electrode artifact removal (HEAR) algorithm

Andreea Ioana Sburlea, Gernot R. Müller-Putz, Reinmar J. Kobler, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Simultaneous decoding of velocity and speed during executed and observed tracking movements: an MEG study

Andreea Ioana Sburlea, Gernot R. Müller-Putz, Masayuki Hirata, 2019, GBCIC.

Tuning characteristics of low-frequency EEG to positions and velocities in visuomotor and oculomotor tracking tasks

Gernot R Müller-Putz, Reinmar J. Kobler, Andreea I Sburlea, 2018, Scientific Reports.

Exploring representations of human grasping in neural, muscle and kinematic signals

Gernot R Müller-Putz, Andreea I Sburlea, A. Sburlea, 2018, Scientific Reports.

EEG neural correlates of goal-directed movement intention

Andreea Ioana Sburlea, Gernot R. Müller-Putz, Andreas Schwarz, 2017, NeuroImage.

Exploring representations of human grasping in neural, muscle and kinematic signals

A. Sburlea, G. Müller-Putz, 2018, Scientific Reports.

Eeg-based brain-computer interfaces for detection of gait intention in healthy and stroke subjects

Andreea Ioana Sburlea, A. Sburlea, 2016 .

Detecting intention to walk in stroke patients from pre-movement EEG correlates

L. Montesano, A. Sburlea, J. Minguez, 2015, Journal of NeuroEngineering and Rehabilitation.

Continuous detection of the self-initiated walking pre-movement state from EEG correlates without session-to-session recalibration

Andreea Ioana Sburlea, Luis Montesano, Javier Minguez, 2015, Journal of neural engineering.

Masked and unmasked error-related potentials during continuous control and feedback

Gernot R Müller-Putz, Catarina Lopes Dias, Andreea I Sburlea, 2018, Journal of neural engineering.

Learning effects in 2D trajectory inference from low-frequency EEG signals over multiple feedback sessions

Andreea Ioana Sburlea, Gernot Müller-Putz, Valeria Mondini, 2021 .

Intersession adaptation of the EEG-based detector of self-paced walking intention in stroke patients

Andreea Ioana Sburlea, Luis Montesano, Javier Minguez, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A guide to time-resolved and parameter-free measures of spike train synchrony

Thomas Kreuz, Nebojsa Bozanic, Mario Mulansky, 2015, 2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP).

Brighten up your mind! Effects of light priming and encouraging feedback on the neural and behavioral responses in a general knowledge task

A. Sburlea, 2012 .

Tuning of Parameters for a Vibrotactile Kinaesthetic Feedback System Utilizing Tactile Illusions

Andreea Ioana Sburlea, Gernot R. Müller-Putz, Lea Hehenberger, 2019, GBCIC.

Disentangling human grasping type from the object's intrinsic properties using low-frequency EEG signals

Gernot R. Müller-Putz, Andreea I. Sburlea, Marilena Wilding, 2021, Neuroimage: Reports.

Tuning characteristics of low-frequency EEG to positions and velocities in visuomotor and oculomotor tracking tasks

Reinmar J. Kobler, A. Sburlea, G. Müller-Putz, 2018, Scientific Reports.

Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control

Reinmar J. Kobler, J. Pereira, A. Sburlea, 2022, Frontiers in Human Neuroscience.

Decoding of continuous movement attempt in 2-dimensions from non-invasive low frequency brain signals

Andreea Ioana Sburlea, Gernot R. Müller-Putz, Catarina Lopes Dias, 2021, 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER).

Online asynchronous detection of error-related potentials in participants with a spinal cord injury using a generic classifier

Andreea Ioana Sburlea, Gernot R. Müller-Putz, Catarina Lopes Dias, 2020, Journal of neural engineering.

A Generic Error-related Potential Classifier Offers a Comparable Performance to a Personalized Classifier

Andreea Ioana Sburlea, Gernot R. Müller-Putz, Catarina Lopes Dias, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

PREDICTING EMG ENVELOPES OF GRASPING MOVEMENTS FROM EEG RECORDINGS USING UNSCENTED KALMAN FILTERING

A. Sburlea, G. Müller-Putz, N. Butturini, 2021 .

A Comparison of ocular Artifact removal Methods for Block Design based Electroencephalography Experiments

Andreea Ioana Sburlea, Gernot R. Müller-Putz, Reinmar J. Kobler, 2017, GBCIC.

Advantages of EEG phase patterns for the detection of gait intention in healthy and stroke subjects

Andreea Ioana Sburlea, Luis Montesano, Javier Minguez, 2016, Journal of neural engineering.

Andreea Ioana Sburlea, Gernot R. Müller-Putz, A. Sburlea, 2019, GBCIC.

Online asynchronous decoding of error-related potentials during the continuous control of a robot

Gernot R. Müller-Putz, Andreea I. Sburlea, Catarina Lopes-Dias, 2019, Scientific Reports.

Effect of Light Priming and Encouraging Feedback on the Behavioral and Neural Responses in a General Knowledge Task

Andreea Ioana Sburlea, Tsvetomira Tsoneva, Gary Garcia Molina, 2013, HCI.

Towards unlocking motor control in spinal cord injured by applying an online EEG-based framework to decode motor intention, trajectory and error processing

A. Sburlea, V. Mondini, Gernot R. Müller-Putz, 2024, Scientific reports.

Online asynchronous detection of error-related potentials in participants with spinal cord injury by adapting a pre-trained generic classifier

A. Sburlea, Daniela Wyss, C. Dias, 2020, ArXiv.