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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
Brain–computer interfaces to promote upper limb functional motor recovery after stroke
Advances in Technology-Assisted Neurorehabilitation
2025
A Scoping Review of Technology-Based Approaches for Upper Limb Motor Rehabilitation after Stroke: Are We Really Targeting Severe Impairment?
JOURNAL OF CLINICAL MEDICINE
2024
EEG-derived markers to improve prognostic evaluation of Disorders of Consciousness
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
2024
Brain and Muscle derived features to discriminate simple hand motor tasks for a rehabilitative BCI: comparative study on healthy and post-stroke individuals
JOURNAL OF NEURAL ENGINEERING
2024
Evaluating the effect of a hybrid Brain-Computer Interface based rehabilitation training on post-stroke motor abnormalities
6th International Conference on NeuroRehabilitation Abstract Book
2024
Characterization of Low Frequency Oscillations in Simple Hand Movements
2024 46th International Engineering in Medicine and Biology Conference - Conference Proceedings
2024
Spectral graph theory to investigate topological and dynamic properties of EEG-based brain networks: an application to post-stroke patients
46th Annual IEEE EMBC conference proceedings
2024
SPectral graph theory And Random walK (SPARK) toolbox for static and dynamic characterization of (di)graphs: a tutorial
PLOS ONE
2024
P300-based Brain-Computer Interface for communication in assistive technology centers: influence of users’ profile on BCI access
JOURNAL OF NEURAL ENGINEERING
2024
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
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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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