Emma Colamarino

According to our database, Emma Colamarino authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

EEG-Derived Markers to Improve Prognostic Evaluation of Disorders of Consciousness.

Jlenia Toppi, Ilaria Quattrociocchi, Angela Riccio, Mariagrazia D'Ippolito, Marta Aloisi, Emma Colamarino, Floriana Pichiorri, Febo Cincotti, Rita Formisano, Donatella Mattia

IEEE J. Biomed. Health Informatics, November, 2024

Advancing Visual Decoding in EEG: Enhancing Spatial Density in Surface EEG for Decoding Color Perception.

Leonhard Schreiner, Sebastian Sieghartsleitner, Matteo La Rosa, Slobodan Tanackovic, Harald Pretl, Emma Colamarino, Christoph Guger

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

Spectral graph theory to investigate topological and dynamic properties of EEG-based brain networks: an application to post-stroke patients.

Andrea Ranieri, Floriana Pichiorri, Elena Mongiardini, Emma Colamarino, Febo Cincotti, Donatella Mattia, Jlenia Toppi

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Characterization of Low Frequency Oscillations in Simple Hand Movements.

Elena Mongiardini, Emma Colamarino, Jlenia Toppi, Floriana Pichiorri, Donatella Mattia, Febo Cincotti

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Parallel Factorization to Implement Group Analysis in Brain Networks Estimation.

Andrea Ranieri, Floriana Pichiorri, Emma Colamarino, Valeria de Seta, Donatella Mattia, Jlenia Toppi

Sensors, February, 2023

Kinematic evaluation of upper limb impairment in stroke survivors through box and block test and IMUs.

Luca Mattioli, Ilaria Mileti, Donatella Mattia, Febo Cincotti, Ilaria Conforti, Valeria de Seta, Zaccaria Del Prete, Eduardo Palermo, Emma Colamarino, Floriana Pichiorri, Jlenia Toppi

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

2022

Low Frequency Brain Oscillations for Brain-Computer Interface applications: from the sources to the scalp domain.

Elena Mongiardini, Emma Colamarino, Jlenia Toppi, Valeria de Seta, Floriana Pichiorri, Donatella Mattia, Febo Cincotti

Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Cortico-Muscular Coupling Allows to Discriminate Different Types of Hand Movements.

Valeria de Seta, Emma Colamarino, Febo Cincotti, Donatella Mattia, Elena Mongiardini, Floriana Pichiorri, Jlenia Toppi

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Low Frequency Brain Oscillations during the execution and imagination of simple hand movements for Brain-Computer Interface applications.

Elena Mongiardini, Emma Colamarino, Jlenia Toppi, Valeria de Seta, Floriana Pichiorri, Donatella Mattia, Febo Cincotti

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Distinctive physiological muscle synergy patterns define the Box and Block Task execution as revealed by electromyographic features.

Emma Colamarino, Valeria de Seta, Jlenia Toppi, Floriana Pichiorri, Ilaria Conforti, Ilaria Mileti, Eduardo Palermo, Donatella Mattia, Febo Cincotti

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain-Computer Interface.

Emma Colamarino, Valeria de Seta, Marcella Masciullo, Febo Cincotti, Donatella Mattia, Floriana Pichiorri, Jlenia Toppi

Int. J. Neural Syst., 2021

Towards a hybrid EEG-EMG feature for the classification of upper limb movements: comparison of different processing pipelines.

Valeria de Seta, Jlenia Toppi, Floriana Pichiorri, Marcella Masciullo, Emma Colamarino, Donatella Mattia, Febo Cincotti

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Inter-muscular coherence features to classify upper limb simple tasks.

Emma Colamarino, Jlenia Toppi, Valeria de Seta, Febo Cincotti, Floriana Pichiorri, Marcella Masciullo, Donatella Mattia

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2019

Swlda Offers a Valuable Trade-off between interpretability and accuracy for rehabilitative BCIs.

Emma Colamarino, Tommaso Colombo, Floriana Pichiorri, Donatella Mattia, Laura Palagi, Febo Cincotti

Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019

Adaptive learning in the detection of Movement Related Cortical Potentials improves usability of associative Brain-Computer Interfaces.

Emma Colamarino, Silvia Muceli, Jaime Ibáñez, Natalie Mrachacz-Kersting, Donatella Mattia, Febo Cincotti, Dario Farina

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017

The ProMoTœR: a Successful Story of translational Research in BCI for motor Rehabilitation.

Floriana Pichiorri, Emma Colamarino, Febo Cincotti, Donatella Mattia

Proceedings of the From Vision to Reality, 2017

Guider: a GUI for Semiautomatic, Physiologically Driven EEG Feature Selection for a Rehabilitation BCI.

Emma Colamarino, Floriana Pichiorri, Francesca Schettini, Mara Martinoia, Donatella Mattia, Febo Cincotti

Proceedings of the From Vision to Reality, 2017

Spatial filters Selection towards a Rehabilitation BCI.

Emma Colamarino, Floriana Pichiorri, Donatella Mattia, Febo Cincotti

Proceedings of the From Vision to Reality, 2017