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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
Parallel Factorization to Implement Group Analysis in Brain Networks Estimation
SENSORS
2023
Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation
JOURNAL OF NEUROENGINEERING AND REHABILITATION
2023
Long-term effect on EEG sensorimotor responsiveness to motor imagery after a BCI training for stroke rehabilitation
10th International BCI Meeting
2023
Brain-Computer Interface assisted Motor Imagery training in post-stroke rehabilitation: longitudinal study of the EEG sensorimotor rhythms
VIII Congress of the National Group of Bioengineering (GNB)
2023
On the use of PARAFAC algorithm in group network analysis: a simulation study
VIII Congress of the National Group of Bioengineering (GNB)
2023
Re-Configuration of Resting state brain networks after BCI training in stroke patients
10th International BCI meeting - Abstract book
2023
Feature selection algorithms to optimize corticomuscular coherence-based BCI for hand motor rehabilitation
Abstract Book - 10th International BCI Meeting
2023
Identifying the best candidates for a rehabilitative BCI targeting upper limb motor recovery
Abstract Book - 10th International BCI Meeting
2023
Cortico-Muscular Coupling to control a hybrid Brain-Computer Interface for upper limb motor rehabilitation
Abstract Book of the 10th International Brain-Computer Interface Meeting
2023
The Promotoer, a brain-computer interface-assisted intervention to promote upper limb functional motor recovery after stroke: a statistical analysis plan for a randomized controlled trial
TRIALS
2023
DiSCIoser: unlocking recovery potential of arm sensorimotor functions after spinal cord injury by promoting activity-dependent brain plasticity by means of brain-computer interface technology: a randomized controlled trial to test efficacy
BMC NEUROLOGY
2023
Kinematic evaluation of upper limb impairment in stroke survivors through box and block test and IMUs
2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings
2023
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
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
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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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