Emma Colamarino

Pubblicazioni

Titolo Pubblicato in Anno
SWLDA offers a valuable trade-off between interpretability and accuracy for rehabilitative BCIs Proceedings of the 8th Graz Brain-Computer Interface Conference 2019 - Bridging Science and Application 2019
Adaptive learning in the detection of Movement Related Cortical Potentials improves usability of associative Brain-Computer Interfaces 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019
Semiautomatic physiologically-driven feature selection improves the usability of a brain computer interface system in post-stroke motor rehabilitation Abstract Book of the Seventh International Brain-Computer Interface Meeting 2018
Brain-computer interface technology for upper limb rehabilitation after stroke: a translational effort Abstracts of the 4th Congress of the European academy of neurologyEUROPEAN JOURNAL OF NEUROLOGY 2018
Spatial filters selection towards a rehabilitation BCI Proceedings of the 7th Graz Brain-Computer Interface Conference 2017. From Vision to Reality 2017
GUIDER: a GUI for semiautomatic, physiologically driven EEG feature selection for a rehabilitation BCI Proceedings of the 7th Graz Brain-Computer Interface Conference 2017. From Vision to Reality 2017
Neurophysiological constraints of control parameters for a brain computer interface system to support post-stroke motor rehabilitation 2017 School and Symposium on Advanced Neurorehabilitation (SSNR2017). Proceedings 2017
The Promotoer: a successful story of translational research in BCI for motor rehabilitation Proceedings of the 7th Graz Brain-Computer Interface Conference 2017. From Vision to Reality 2017
Concentric-ring electrodes reduce crosstalk in surface EMG Proceedings of the fifth conference of the national group of bioengineering 2016
Automatic features selection in BCI-supported motor imagery practice for stroke rehabilitation Proceedings of the fifth conference of the national group of bioengineering 2016

ERC

  • PE7_7
  • PE7_11

KET

  • Big data & computing
  • Life-science technologies & biotechnologies

Interessi di ricerca

  • Electroencephalographic (EEG) and Electromyographic (EMG) signal processing
  • Brain-Computer Interface (BCI)
  • Machine learning
  • Neurorehabilitation

Keywords

bioengineering
Physiological systems modeling - Multivariate signal processing
electroencephalography (EEG)
electromyography (emg)

Progetti di Ricerca

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