A.I. (Andreea) Sburlea, Dr

Assistant Professor in Human Centered Intelligence

Faculteit Science and Engineering

Telefoon:

050 36 36533

E-mail:

a.i.sburlea rug.nl

Homepage ORCID Research Portal

Publicaties

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

Mondini, V., Sburlea, A. I. & Müller-Putz, G. R., 27-feb.-2024, In: Scientific Reports. 14, 1, 19 blz., 4714.

Onderzoeksoutput › › peer review

Transferring BCI models from calibration to control: Observing shifts in EEG features

de Jong, I. P., van den Wittenboer, L. L., Valdenegro-Toro, M. & Sburlea, A. I., 14-mrt.-2024, (Submitted) arXiv, 6 blz.

Onderzoeksoutput: Voordruk ›

Uncertainty Quantification for cross-subject Motor Imagery classification

Manivannan, P., de Jong, I. P., Valdenegro-Toro, M. & Sburlea, A. I., 14-mrt.-2024, (Submitted) arXiv, 6 blz.

Onderzoeksoutput: Voordruk ›

Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review

de Jong, I. P., Sburlea, A. I. & Valdenegro-Toro, M., 15-nov.-2023, (Submitted) arXiv, 26 blz.

Onderzoeksoutput: Voordruk ›

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

Pulferer, H. S., Ásgeirsdóttir, B., Mondini, V., Sburlea, A. I. & Müller-Putz, G. R., 1-jun.-2022, In: Journal of Neural Engineering. 19, 18 blz., 036005 .

Onderzoeksoutput › › peer review

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

Lopes-Dias, C., Sburlea, A. I., Breitegger, K., Wyss, D., Drescher, H., Wildburger, R. & Müller-Putz, G. R., 1-aug.-2021, In: Journal of Neural Engineering. 18, 18 blz., 046022.

Onderzoeksoutput › › peer review

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A.I. (Andreea) Sburlea, Dr

Publicaties

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

Transferring BCI models from calibration to control: Observing shifts in EEG features

Uncertainty Quantification for cross-subject Motor Imagery classification

Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review

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

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

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

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

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

Using machine learning to reveal the population vector from EEG signals