Emma Colamarino

Orcid: 0000-0002-5375-8339

According to our database1, Emma Colamarino authored at least 15 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
EEG-Derived Markers to Improve Prognostic Evaluation of Disorders of Consciousness.
IEEE J. Biomed. Health Informatics, November, 2024

2023
Parallel Factorization to Implement Group Analysis in Brain Networks Estimation.
Sensors, February, 2023

Kinematic evaluation of upper limb impairment in stroke survivors through box and block test and IMUs.
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.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Cortico-Muscular Coupling Allows to Discriminate Different Types of Hand Movements.
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.
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.
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.
Int. J. Neural Syst., 2021

Towards a hybrid EEG-EMG feature for the classification of upper limb movements: comparison of different processing pipelines.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Inter-muscular coherence features to classify upper limb simple tasks.
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.
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.
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.
Proceedings of the From Vision to Reality, 2017

Guider: a GUI for Semiautomatic, Physiologically Driven EEG Feature Selection for a Rehabilitation BCI.
Proceedings of the From Vision to Reality, 2017

Spatial filters Selection towards a Rehabilitation BCI.
Proceedings of the From Vision to Reality, 2017


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