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emma.colamarino@uniroma1.it
Emma Colamarino
Ricercatore
Struttura:
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
E-mail:
emma.colamarino@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Inter-limb muscle synergy similarity as marker of post-stroke impairment in Box & Block Test
Gait & Posture - Abstracts of the 23rd National Congress of SIAMOC
2023
On the use of PARAFAC algorithm in group network analysis: a simulation study
Convegno Nazionale di Bioingegneria
2023
Automatic Selection of Control Features for Electroencephalography-Based Brain–Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm
BRAIN TOPOGRAPHY
2022
Cortico-Muscular Coupling Allows to Discriminate Different Types of Upper Limb Movements
2022 44th International Engineering in Medicine and Biology Conference -Conference Proceedings
2022
Distinctive physiological muscle synergy patterns define the Box and Block Task execution as revealed by electromyographic features
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2022
Low Frequency Brain Oscillations during the execution and imagination of simple hand movements for Brain-Computer Interface applications
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2022
Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients
FRONTIERS IN HUMAN NEUROSCIENCE
2022
Low Frequency Brain Oscillations for Brain-Computer Interface applications: from the sources to the scalp domain
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
2022
Muscle synergy patterns in the Box and Block Task execution
Proceedings XXII Congresso SIAMOC 2022
2022
Towards a hybrid EEG-EMG feature for the classification of upper limb movements: comparison of different processing pipelines
2021 10th International IEEE EMBS Conference on Neural Engineering-Conference Proceedings
2021
Hand movements classification for a hybrid rehabilitative BCI: study on corticomuscular and intermuscular coherence
Abstract Book of the 8th International Brain-Computer Interface Meeting
2021
BCI-assisted Motor Imagery training to promote functional recovery in cervical Spinal Cord Injury patients: preliminary data
Abstract Book of the 8th International Brain-Computer Interface Meeting
2021
Movement-Related Cortical Potential during post-stroke motor recovery: preliminary study for a novel hybrid BCI paradigm
Abstract Book of the 8th International Brain-Computer Interface Meeting
2021
Inter-muscular coherence features to classify upper limb simple tasks
10th International IEEE EMBS Conference on Neural Engineering-Conference Proceedings
2021
Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain-Computer Interface
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
2021
Towards A Novel Hybrid Brain-Computer Interface for Motor Rehabilitation: Study on Cortico-Muscular Coherence Patterns for Movement Classification
Nature Conferences-Technologies for Neuroengineering
2021
Brain-Computer Interface
2021
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 to test early and long-term efficacy and to identify determinants of response
BMC NEUROLOGY
2020
Movement-Related Cortical Potential changes following functional motor recovery in subacute stroke patients
FENS2020
2020
Bipolar filters improve usability of Brain-Computer Interface technology in post-stroke motor rehabilitation
Converging Clinical and Engineering Research on Neurorehabilitation III. Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018), October 16 – 20, 2018, Pisa, Italy
2019
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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
MoRe MuSyC: Post-stroke Motor Recovery Muscle Synergy quality Capture
PHYDBEC: Physiology-evidence based indices to describe movement in Box and Block test execution
Multimodal classification of upper limb movements during post-stroke rehabilitation
Synergies-based real-time monitoring to improve post-stroke rehabilitation
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