| Upper limb movements can be decoded from the time-domain of low-frequency EEG P Ofner, A Schwarz, J Pereira, GR Müller-Putz PloS one 12 (8), e0182578, 2017 | 163 | 2017 |
| Decoding natural reach-and-grasp actions from human EEG A Schwarz, P Ofner, J Pereira, AI Sburlea, GR Müller-Putz Journal of neural engineering 15 (1), 016005, 2017 | 114 | 2017 |
| EEG neural correlates of goal-directed movement intention J Pereira, P Ofner, A Schwarz, AI Sburlea, GR Müller-Putz Neuroimage 149, 129-140, 2017 | 102 | 2017 |
| Attempted arm and hand movements can be decoded from low-frequency EEG from persons with spinal cord injury P Ofner, A Schwarz, J Pereira, D Wyss, R Wildburger, GR Müller-Putz Scientific reports 9 (1), 1-15, 2019 | 89 | 2019 |
| Decoding of velocities and positions of 3D arm movement from EEG P Ofner, GR Müller-Putz 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 88 | 2012 |
| From classic motor imagery to complex movement intention decoding: the noninvasive Graz-BCI approach GR Müller-Putz, A Schwarz, J Pereira, P Ofner Progress in brain research 228, 39-70, 2016 | 75 | 2016 |
| Using a noninvasive decoding method to classify rhythmic movement imaginations of the arm in two planes P Ofner, GR Müller-Putz IEEE transactions on biomedical engineering 62 (3), 972-981, 2014 | 68 | 2014 |
| Decoding hand movements from human EEG to control a robotic arm in a simulation environment A Schwarz, MK Höller, J Pereira, P Ofner, GR Müller-Putz Journal of neural engineering 17 (3), 036010, 2020 | 29 | 2020 |
| MOREGRASP: Restoration of upper limb function in individuals with high spinal cord injury by multimodal neuroprostheses for interaction in daily activities GR Müller-Putz, P Ofner, A Schwarz, J Pereira, G Luzhnica, C di Sciascio, ... | 22 | 2017 |
| Applying intuitive EEG-controlled grasp neuroprostheses in individuals with spinal cord injury: Preliminary results from the MoreGrasp clinical feasibility study GR Müller-Putz, P Ofner, J Pereira, A Pinegger, A Schwarz, M Zube, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 21 | 2019 |
| Towards non-invasive EEG-based arm/hand-control in users with spinal cord injury GR Müller-Putz, P Ofner, A Schwarz, J Pereira, A Pinegger, CL Dias, ... 2017 5th International Winter Conference on Brain-Computer Interface (BCI …, 2017 | 15 | 2017 |
| Towards non-invasive brain-computer interface for hand/arm control in users with spinal cord injury GR Müller-Putz, J Pereira, P Ofner, A Schwarz, CL Dias, RJ Kobler, ... 2018 6th International Conference on Brain-Computer Interface (BCI), 1-4, 2018 | 11 | 2018 |
| Dealing with missing usage data in defect prediction: A case study of a welding supplier M Gashi, P Ofner, H Ennsbrunner, S Thalmann Computers in Industry 132, 103505, 2021 | 10 | 2021 |
| Movement target decoding from EEG and the corresponding discriminative sources: A preliminary study P Ofner, GR Müller-Putz 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 10 | 2015 |
| Comparison of feature extraction methods for brain-computer interfaces P Ofner, GR Müller-Putz, C Neuper, C Brunner na, 2011 | 10 | 2011 |
| Goal-directed or aimless? EEG differences during the preparation of a reach-and-touch task J Pereira, P Ofner, GR Müller-Putz 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 9 | 2015 |
| Mesh-free surrogate models for structural mechanic FEM simulation: a comparative study of approaches JG Hoffer, BC Geiger, P Ofner, R Kern Applied Sciences 11 (20), 9411, 2021 | 7 | 2021 |
| Brisk movement imagination for the non-invasive control of neuroprostheses: a first attempt GR Müller-Putz, P Ofner, V Kaiser, G Clauzel, C Neuper 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 7 | 2011 |
| Online detection of movement during natural and self-initiated reach-and-grasp actions from EEG signals J Pereira, R Kobler, P Ofner, A Schwarz, GR Müller-Putz Journal of Neural Engineering 18 (4), 046095, 2021 | 6 | 2021 |
| Movements of the same upper limb can be classified from low-frequency time-domain EEG signals P Ofner, A Schwarz, J Pereira, GR Müller-Putz Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI …, 2016 | 6 | 2016 |
Gernot Müller-PutzProfessor, Graz University of TechnologyVerified email at tugraz.at
