Andreea Ioana Sburlea

About Andreea Ioana Sburlea

Andreea Ioana Sburlea, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at Technische Universität Graz, specializes in the field of Brain-computer interfaces, Neural engineering, Neural control of movement.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Uncertainty Quantification for cross-subject Motor Imagery classification

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

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

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

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

Directional decoding from EEG in a center-out motor imagery task with visual and vibrotactile guidance

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

Andreea Ioana Sburlea Information

University

Position

Institute of Neural Engineering

Citations(all)

1083

Citations(since 2020)

936

Cited By

463

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

25

i10Index(since 2020)

25

Email

University Profile Page

Google Scholar

Andreea Ioana Sburlea Skills & Research Interests

Brain-computer interfaces

Neural engineering

Neural control of movement

Top articles of Andreea Ioana Sburlea

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

arXiv preprint arXiv:2403.15431

2024/3/14

Andreea Ioana Sburlea
Andreea Ioana Sburlea

H-Index: 12

Uncertainty Quantification for cross-subject Motor Imagery classification

arXiv preprint arXiv:2403.09228

2024/3/14

Andreea Ioana Sburlea
Andreea Ioana Sburlea

H-Index: 12

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

Scientific Reports

2024/2/27

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

arXiv preprint arXiv:2312.16763

2023/12/28

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

Frontiers in Human Neuroscience

2022/11/3

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

Journal of Neural Engineering

2022/5/9

Directional decoding from EEG in a center-out motor imagery task with visual and vibrotactile guidance

Frontiers in human neuroscience

2021/9/24

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

Proc. Annual Meeting Austrian Society for Biomedical Engineering

2021/6/9

Valeria Mondini
Valeria Mondini

H-Index: 5

Andreea Ioana Sburlea
Andreea Ioana Sburlea

H-Index: 12

Low frequency EEG-based movement decoding for the continuous online control of a robotic arm

2021/6/7

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

Neuroimage: Reports

2021/6/1

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

2021/5/4

Predicting EMG envelopes of grasping movements from EEG recordings using unscented Kalman filtering

2021

Andreea Ioana Sburlea
Andreea Ioana Sburlea

H-Index: 12

Inter-and intra-individual variability in brain oscillations during sports motor imagery

Frontiers in human neuroscience

2020/10/30

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

NeuroImage

2020/10/15

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

Journal of Neural Engineering

2020/10/13

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

Journal of Neural Engineering

2020/10/12

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

NeuroImage

2020/9/1

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

Journal of Neural Engineering

2020/8/11

A generic error-related potential classifier offers a comparable performance to a personalized classifier

2020/7/20

Using machine learning to reveal the population vector from EEG signals

Journal of Neural Engineering

2020/3/10

See List of Professors in Andreea Ioana Sburlea University(Technische Universität Graz)

Co-Authors

academic-engine