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valeria.deseta@uniroma1.it
Valeria De Seta
Assegnista di ricerca
Struttura:
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
E-mail:
valeria.deseta@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
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
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
On the use of PARAFAC algorithm in group network analysis: a simulation study
VIII Congress of the National Group of Bioengineering (GNB)
2023
Feature selection algorithms to optimize corticomuscular coherence-based BCI for hand motor rehabilitation
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
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
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
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
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Progetti di Ricerca
Towards a novel hybrid Brain-Computer Interface for post-stroke motor rehabilitation based on brain-muscles patterns
Characterization of Cortico-Muscular Coherence during the execution of simple motor tasks aimed at the development of a hybrid feature for the classification of upper-limb movements
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