Salta al contenuto principale
English
Italiano
Form di ricerca
Cerca
Dipartimento di Ingegneria informatica, automatica e gestionale
Toggle navigation
Dipartimento
Chi siamo
Dove siamo
Governo
Persone
Uffici
Bandi
Trasparenza
Strutture
Laboratori
Aule
Biblioteca
Didattica
Corsi di studio
Dottorati di ricerca
Laboratori didattici
Risorse multimediali
Ricerca
Aree di ricerca
Gruppi di ricerca
Eventi e seminari
Keyword search
Visiting professors
Rapporti annuali
Rapporti tecnici
Centri interdipartimentali
Spin-off
Frequentatori esterni
Terza missione
Notizie
DIAG sui Media
Seminars & talks
Home
»
Users
»
Valeria De Seta
Valeria de Seta
dottorando
stanza:
A223
telefono:
+39 0677274034
keywords
Methods and Techniques for Neuroengineering
Processing and analysis of bioelectrical signals
Membro di
Bioengineering and Bioinformatics
Ultime pubblicazioni
Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain-Computer Interface
on
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
2021
Hand movements classification for a hybrid rehabilitative BCI: study on corticomuscular and intermuscular coherence
on
Abstract Book of the 8th International Brain-Computer Interface Meeting
2021
Inter-muscular coherence features to classify upper limb simple tasks
on
10th International IEEE EMBS Conference on Neural Engineering-Conference Proceedings
2021
Movement-Related Cortical Potential during post-stroke motor recovery: preliminary study for a novel hybrid BCI paradigm
on
Abstract Book of the 8th International Brain-Computer Interface Meeting
2021
Towards a hybrid EEG-EMG feature for the classification of upper limb movements: comparison of different processing pipelines
on
2021 10th International IEEE EMBS Conference on Neural Engineering-Conference Proceedings
2021
Towards A Novel Hybrid Brain-Computer Interface for Motor Rehabilitation: Study on Cortico-Muscular Coherence Patterns for Movement Classification
on
Nature Conferences-Technologies for Neuroengineering
2021
Movement-Related Cortical Potential changes following functional motor recovery in subacute stroke patients
on
FENS2020
2020
© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma