de Seta V - Search Results

1

Brain and muscle derived features to discriminate simple hand motor tasks for a rehabilitative BCI: comparative study on healthy and post-stroke individuals.

de Seta V, Colamarino E, Pichiorri F, Savina G, Patarini F, Riccio A, Cincotti F, Mattia D, Toppi J. de Seta V, et al. J Neural Eng. 2024 Nov 28;21(6). doi: 10.1088/1741-2552/ad8838. J Neural Eng. 2024. PMID: 39419108

2

Parallel Factorization to Implement Group Analysis in Brain Networks Estimation.

Ranieri A, Pichiorri F, Colamarino E, de Seta V, Mattia D, Toppi J. Ranieri A, et al. Among authors: de seta v. Sensors (Basel). 2023 Feb 3;23(3):1693. doi: 10.3390/s23031693. Sensors (Basel). 2023. PMID: 36772731 Free PMC article.

3

Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation.

Pichiorri F, Toppi J, de Seta V, Colamarino E, Masciullo M, Tamburella F, Lorusso M, Cincotti F, Mattia D. Pichiorri F, et al. Among authors: de seta v. J Neuroeng Rehabil. 2023 Jan 14;20(1):5. doi: 10.1186/s12984-023-01127-6. J Neuroeng Rehabil. 2023. PMID: 36639665 Free PMC article.

4

Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients.

de Seta V, Toppi J, Colamarino E, Molle R, Castellani F, Cincotti F, Mattia D, Pichiorri F. de Seta V, et al. Front Hum Neurosci. 2022 Nov 22;16:1016862. doi: 10.3389/fnhum.2022.1016862. eCollection 2022. Front Hum Neurosci. 2022. PMID: 36483633 Free PMC article.

5

Distinctive physiological muscle synergy patterns define the Box and Block Task execution as revealed by electromyographic features.

Colamarino E, de Seta V, Toppi J, Pichiorri F, Conforti I, Mileti I, Palermo E, Mattia D, Cincotti F. Colamarino E, et al. Among authors: de seta v. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:5124-5127. doi: 10.1109/EMBC48229.2022.9871699. Annu Int Conf IEEE Eng Med Biol Soc. 2022. PMID: 36086602

6

Cortico-Muscular Coupling Allows to Discriminate Different Types of Hand Movements.

de Seta V, Colamarino E, Cincotti F, Mattia D, Mongiardini E, Pichiorri F, Toppi J. de Seta V, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:2324-2327. doi: 10.1109/EMBC48229.2022.9871383. Annu Int Conf IEEE Eng Med Biol Soc. 2022. PMID: 36086292

7

Low Frequency Brain Oscillations during the execution and imagination of simple hand movements for Brain-Computer Interface applications.

Mongiardini E, Colamarino E, Toppi J, de Seta V, Pichiorri F, Mattia D, Cincotti F. Mongiardini E, et al. Among authors: de seta v. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:226-229. doi: 10.1109/EMBC48229.2022.9871772. Annu Int Conf IEEE Eng Med Biol Soc. 2022. PMID: 36086248

8

Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain-Computer Interface.

Colamarino E, de Seta V, Masciullo M, Cincotti F, Mattia D, Pichiorri F, Toppi J. Colamarino E, et al. Among authors: de seta v. Int J Neural Syst. 2021 Nov;31(11):2150052. doi: 10.1142/S0129065721500520. Epub 2021 Sep 30. Int J Neural Syst. 2021. PMID: 34590990

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

8 results

Search Page

Filters