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Emma Colamarino
Emma Colamarino
Research Associate (Ricercatore a tempo determinato di tipo A), Sapienza University of Rome
Verified email at uniroma1.it - Homepage
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Cited by
Year
The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a study protocol for a randomized controlled trial …
D Mattia, F Pichiorri, E Colamarino, M Masciullo, G Morone, J Toppi, ...
BMC neurology 20, 1-13, 2020
352020
Corticomuscular and intermuscular coupling in simple hand movements to enable a hybrid brain–computer interface
E Colamarino, V De Seta, M Masciullo, F Cincotti, D Mattia, F Pichiorri, ...
International Journal of Neural Systems 31 (11), 2150052, 2021
202021
Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation
F Pichiorri, J Toppi, V de Seta, E Colamarino, M Masciullo, F Tamburella, ...
Journal of NeuroEngineering and Rehabilitation 20 (1), 5, 2023
152023
Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients
V de Seta, J Toppi, E Colamarino, R Molle, F Castellani, F Cincotti, ...
Frontiers in Human Neuroscience 16, 1016862, 2022
122022
DiSCIoser: unlocking recovery potential of arm sensorimotor functions after spinal cord injury by promoting activity-dependent brain plasticity by means of brain-computer …
E Colamarino, M Lorusso, F Pichiorri, J Toppi, F Tamburella, G Serratore, ...
BMC neurology 23 (1), 414, 2023
72023
A user-centred approach to unlock the potential of non-invasive BCIs: an unprecedented international translational effort
C Jeunet, C Bernaroch, F Cabestaing, R Chavarriaga, E Colamarino, ...
CHIST-ERA CONFERENCE 2020, 2020
62020
Automatic Selection of Control Features for Electroencephalography-Based Brain–Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm
E Colamarino, F Pichiorri, J Toppi, D Mattia, F Cincotti
Brain Topography 35 (2), 182-190, 2022
52022
Towards a hybrid EEG-EMG feature for the classification of upper limb movements: comparison of different processing pipelines
V de Seta, J Toppi, F Pichiorri, M Masciullo, E Colamarino, D Mattia, ...
2021 10th International IEEE/EMBS Conference on Neural Engineering (NER …, 2021
52021
Adaptive learning in the detection of Movement Related Cortical Potentials improves usability of associative Brain-Computer Interfaces
E Colamarino, S Muceli, J Ibáñez, N Mrachacz-Kersting, D Mattia, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
52019
Bipolar Filters Improve Usability of Brain-Computer Interface Technology in Post-stroke Motor Rehabilitation
E Colamarino, F Pichiorri, D Mattia, F Cincotti
Converging Clinical and Engineering Research on Neurorehabilitation III …, 2019
52019
GUIDER: a GUI for semiautomatic, physiologically driven EEG feature selection for a rehabilitation BCI
E Colamarino, F Pichiorri, F Schettini, M Martinoia, D Mattia, F Cincotti
Proceedings of the 7th Graz Brain-Computer Interface Conference 2017. From …, 2017
52017
An All-in-One BCI-supported motor imagery training station: Validation in a real clinical setting with chronic stroke patients
F Pichiorri, E Colamarino, F Cincotti, D Mattia
Converging Clinical and Engineering Research on Neurorehabilitation III …, 2019
42019
The Promotoer: a successful story of translational research in BCI for motor rehabilitation
F Pichiorri, E Colamarino, F Cincotti, D Mattia
Proceedings of the 7th Graz Brain-Computer Interface Conference 2017. From …, 2017
32017
The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a statistical analysis plan for a randomized …
M Cipriani, F Pichiorri, E Colamarino, J Toppi, F Tamburella, M Lorusso, ...
Trials 24 (1), 736, 2023
22023
Spatial filters selection towards a rehabilitation BCI
E Colamarino, F Pichiorri, D Mattia, F Cincotti
Proceedings of the 7th Graz Brain-Computer Interface Conference 2017. From …, 2017
22017
Kinematic evaluation of upper limb impairment in stroke survivors through box and block test and IMUs
L Mattioli, I Mileti, D Mattia, F Cincotti, I Conforti, V de Seta, Z Del Prete, ...
2023 IEEE International Symposium on Medical Measurements and Applications …, 2023
12023
Distinctive physiological muscle synergy patterns define the Box and Block Task execution as revealed by electromyographic features
E Colamarino, V de Seta, J Toppi, F Pichiorri, I Conforti, I Mileti, E Palermo, ...
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
12022
Cortico-Muscular Coupling Allows to Discriminate Different Types of Hand Movements
V de Seta, E Colamarino, F Cincotti, D Mattia, E Mongiardini, F Pichiorri, ...
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
12022
Brain and Muscle derived features to discriminate simple hand motor tasks for a rehabilitative BCI: comparative study on healthy and post-stroke individuals
V de Seta, E Colamarino, F Pichiorri, G Savina, F Patarini, A Riccio, ...
Journal of Neural Engineering, 2024
2024
A Scoping Review of Technology-Based Approaches for Upper Limb Motor Rehabilitation after Stroke: Are We Really Targeting Severe Impairment?
E Colamarino, G Morone, J Toppi, A Riccio, F Cincotti, D Mattia, ...
Journal of Clinical Medicine 13 (18), 5414, 2024
2024
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