COLAMARINO, EMMA
COLAMARINO, EMMA
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
Adaptive learning in the detection of Movement Related Cortical Potentials improves usability of associative Brain-Computer Interfaces
2019 Colamarino, E.; Muceli, S.; Ibanez, J.; Mrachacz-Kersting, N.; Mattia, D.; Cincotti, F.; Farina, D.
An All-in-One BCI-Supported Motor Imagery Training Station: Validation in a Real Clinical Setting with Chronic Stroke Patients
2019 Pichiorri, F.; Colamarino, E.; Cincotti, F.; Mattia, D.
Automatic features selection in BCI-supported motor imagery practice for stroke rehabilitation
2016 Schettini, Francesca; Martinoia, M.; Pichiorri, Floriana; Colamarino, Emma; Mattia, D; Cincotti, Febo
Automatic Selection of Control Features for Electroencephalography-Based Brain–Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm
2022 Colamarino, E.; Pichiorri, F.; Toppi, J.; Mattia, D.; Cincotti, F.
BCI-assisted Motor Imagery training to promote functional recovery in cervical Spinal Cord Injury patients: preliminary data
2021 Colamarino, Emma; Pichiorri, Floriana; Masciullo, Marcella; Tamburella, Federica; Pisotta, Iolanda; Scivoletto, Giorgio; Molinari, Marco; Cincotti, Febo; Mattia, Donatella
Bipolar filters improve usability of Brain-Computer Interface technology in post-stroke motor rehabilitation
2019 Colamarino, Emma; Pichiorri, Floriana; Mattia, Donatella; Cincotti, Febo
Brain-Computer Interface
2021 Pichiorri, Floriana; Colamarino, Emma; Mattia, Donatella
Brain-Computer Interface assisted Motor Imagery training in post-stroke rehabilitation: longitudinal study of the EEG sensorimotor rhythms
2023 Mongiardini, E.; Colamarino, E.; Pichiorri, F.; Ranieri, A.; Toppi, J.; Mattia, D.; Cincotti, F.
Brain-computer interface technology for upper limb rehabilitation after stroke: a translational effort
2018 Pichiorri, Floriana; Colamarino, Emma; Cincotti, Febo; Mattia, Donatella
Concentric-ring electrodes reduce crosstalk in surface EMG
2016 Colamarino, Emma; Merlo, Enrico; Boccia, Gennaro; Toppi, Jlenia; Mattia, Donatella; Cincotti, Febo
Cortico-Muscular Coupling Allows to Discriminate Different Types of Hand Movements
2022 de Seta, V.; Colamarino, E.; Cincotti, F.; Mattia, D.; Mongiardini, E.; Pichiorri, F.; Toppi, J.
Cortico-Muscular Coupling to control a hybrid Brain-Computer Interface for upper limb motor rehabilitation
2023 de Seta, V.; Pichiorri, F.; Colamarino, E.; Molle, R.; Castellani, F.; Cincotti, F.; Mattia, D.; Toppi, J.
Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients
2022 DE SETA, Valeria; Toppi, Jlenia; Colamarino, Emma; Molle, Rita; Castellani, Filippo; Cincotti, Febo; Mattia, Donatella; Pichiorri, Floriana
Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain-Computer Interface
2021 Colamarino, Emma; de Seta, Valeria; Masciullo, Marcella; Cincotti, Febo; Mattia, Donatella; Pichiorri, Floriana; Toppi, Jlenia
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
2023 Colamarino, Emma; Lorusso, Matteo; Pichiorri, Floriana; Toppi, Jlenia; Tamburella, Federica; Serratore, Giada; Riccio, Angela; Tomaiuolo, Francesco; Bigioni, Alessandra; Giove, Federico; Scivoletto, Giorgio; Cincotti, Febo; Mattia, Donatella
Distinctive physiological muscle synergy patterns define the Box and Block Task execution as revealed by electromyographic features
2022 Colamarino, E.; de Seta, V.; Toppi, J.; Pichiorri, F.; Conforti, I.; Mileti, I.; Palermo, E.; Mattia, D.; Cincotti, F.
Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation
2023 Pichiorri, Floriana; Toppi, Jlenia; de Seta, Valeria; Colamarino, Emma; Masciullo, Marcella; Tamburella, Federica; Lorusso, Matteo; Cincotti, Febo; Mattia, Donatella
Feature selection algorithms to optimize corticomuscular coherence-based BCI for hand motor rehabilitation
2023 Colamarino, Emma; DE SETA, Valeria; Pichiorri, Floriana; Toppi, Jlenia; Mattia, Donatella; Cincotti, Febo
GUIDER: a GUI for semiautomatic, physiologically driven EEG feature selection for a rehabilitation BCI
2017 Colamarino, Emma; Pichiorri, Floriana; Schettini, Francesca; Martinoia, M.; Mattia, D.; Cincotti, Febo
Hand movements classification for a hybrid rehabilitative BCI: study on corticomuscular and intermuscular coherence
2021 de Seta, V.; Colamarino, E.; Pichiorri, F.; Toppi, J.; Masciullo, M.; Cincotti, F.; Mattia, D.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Adaptive learning in the detection of Movement Related Cortical Potentials improves usability of associative Brain-Computer Interfaces | 2019 | Colamarino, E.; Muceli, S.; Ibanez, J.; Mrachacz-Kersting, N.; Mattia, D.; Cincotti, F.; Farina, D. | |
| An All-in-One BCI-Supported Motor Imagery Training Station: Validation in a Real Clinical Setting with Chronic Stroke Patients | 2019 | Pichiorri, F.; Colamarino, E.; Cincotti, F.; Mattia, D. | |
| Automatic features selection in BCI-supported motor imagery practice for stroke rehabilitation | 2016 | Schettini, Francesca; Martinoia, M.; Pichiorri, Floriana; Colamarino, Emma; Mattia, D; Cincotti, Febo | |
| Automatic Selection of Control Features for Electroencephalography-Based Brain–Computer Interface Assisted Motor Rehabilitation: The GUIDER Algorithm | 2022 | Colamarino, E.; Pichiorri, F.; Toppi, J.; Mattia, D.; Cincotti, F. | |
| BCI-assisted Motor Imagery training to promote functional recovery in cervical Spinal Cord Injury patients: preliminary data | 2021 | Colamarino, Emma; Pichiorri, Floriana; Masciullo, Marcella; Tamburella, Federica; Pisotta, Iolanda; Scivoletto, Giorgio; Molinari, Marco; Cincotti, Febo; Mattia, Donatella | |
| Bipolar filters improve usability of Brain-Computer Interface technology in post-stroke motor rehabilitation | 2019 | Colamarino, Emma; Pichiorri, Floriana; Mattia, Donatella; Cincotti, Febo | |
| Brain-Computer Interface | 2021 | Pichiorri, Floriana; Colamarino, Emma; Mattia, Donatella | |
| Brain-Computer Interface assisted Motor Imagery training in post-stroke rehabilitation: longitudinal study of the EEG sensorimotor rhythms | 2023 | Mongiardini, E.; Colamarino, E.; Pichiorri, F.; Ranieri, A.; Toppi, J.; Mattia, D.; Cincotti, F. | |
| Brain-computer interface technology for upper limb rehabilitation after stroke: a translational effort | 2018 | Pichiorri, Floriana; Colamarino, Emma; Cincotti, Febo; Mattia, Donatella | |
| Concentric-ring electrodes reduce crosstalk in surface EMG | 2016 | Colamarino, Emma; Merlo, Enrico; Boccia, Gennaro; Toppi, Jlenia; Mattia, Donatella; Cincotti, Febo | |
| Cortico-Muscular Coupling Allows to Discriminate Different Types of Hand Movements | 2022 | de Seta, V.; Colamarino, E.; Cincotti, F.; Mattia, D.; Mongiardini, E.; Pichiorri, F.; Toppi, J. | |
| Cortico-Muscular Coupling to control a hybrid Brain-Computer Interface for upper limb motor rehabilitation | 2023 | de Seta, V.; Pichiorri, F.; Colamarino, E.; Molle, R.; Castellani, F.; Cincotti, F.; Mattia, D.; Toppi, J. | |
| Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients | 2022 | DE SETA, Valeria; Toppi, Jlenia; Colamarino, Emma; Molle, Rita; Castellani, Filippo; Cincotti, Febo; Mattia, Donatella; Pichiorri, Floriana | |
| Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain-Computer Interface | 2021 | Colamarino, Emma; de Seta, Valeria; Masciullo, Marcella; Cincotti, Febo; Mattia, Donatella; Pichiorri, Floriana; Toppi, Jlenia | |
| 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 | 2023 | Colamarino, Emma; Lorusso, Matteo; Pichiorri, Floriana; Toppi, Jlenia; Tamburella, Federica; Serratore, Giada; Riccio, Angela; Tomaiuolo, Francesco; Bigioni, Alessandra; Giove, Federico; Scivoletto, Giorgio; Cincotti, Febo; Mattia, Donatella | |
| Distinctive physiological muscle synergy patterns define the Box and Block Task execution as revealed by electromyographic features | 2022 | Colamarino, E.; de Seta, V.; Toppi, J.; Pichiorri, F.; Conforti, I.; Mileti, I.; Palermo, E.; Mattia, D.; Cincotti, F. | |
| Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation | 2023 | Pichiorri, Floriana; Toppi, Jlenia; de Seta, Valeria; Colamarino, Emma; Masciullo, Marcella; Tamburella, Federica; Lorusso, Matteo; Cincotti, Febo; Mattia, Donatella | |
| Feature selection algorithms to optimize corticomuscular coherence-based BCI for hand motor rehabilitation | 2023 | Colamarino, Emma; DE SETA, Valeria; Pichiorri, Floriana; Toppi, Jlenia; Mattia, Donatella; Cincotti, Febo | |
| GUIDER: a GUI for semiautomatic, physiologically driven EEG feature selection for a rehabilitation BCI | 2017 | Colamarino, Emma; Pichiorri, Floriana; Schettini, Francesca; Martinoia, M.; Mattia, D.; Cincotti, Febo | |
| Hand movements classification for a hybrid rehabilitative BCI: study on corticomuscular and intermuscular coherence | 2021 | de Seta, V.; Colamarino, E.; Pichiorri, F.; Toppi, J.; Masciullo, M.; Cincotti, F.; Mattia, D. |