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

Autor: E. Mongiardini, E. Colamarino, J. Toppi, V. de Seta, F. Pichiorri, D. Mattia, F. Cincotti

Publikováno v: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022

Low Frequency Brain Oscillations (LFOs) are brief periods of oscillatory activity in delta and lower theta band that appear at motor cortical areas before and around movement onset. It has been shown that LFO power decreases in post-stroke patients a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::534915714dcb0a60ffe342363df8bf85
https://pubmed.ncbi.nlm.nih.gov/36086248

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

Autor: E. Colamarino, V. de Seta, J. Toppi, F. Pichiorri, I. Conforti, I. Mileti, E. Palermo, D. Mattia, F. Cincotti

Publikováno v: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022

Stroke survivors experience muscular pattern alterations of the upper limb that decrease their ability to perform daily-living activities. The Box and Block test (BBT) is widely used to assess the unilateral manual dexterity. Although BBT provides in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9350524be94ad6beba24be1838866834
https://pubmed.ncbi.nlm.nih.gov/36086602

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

Autor: V. de Seta, E. Colamarino, F. Cincotti, D. Mattia, E. Mongiardini, F. Pichiorri, J. Toppi

Publikováno v: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022

Cortico-muscular coupling (CMC) could be used as potential input of a novel hybrid Brain-Computer Interface (hBCI) for motor re-learning after stroke. Here, we aim of addressing the design of a hBCI able to classify different movement tasks taking in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8652a34531826e6ea1743f5537f530b
https://pubmed.ncbi.nlm.nih.gov/36086292

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Towards a hybrid EEG-EMG feature for the classification of upper limb movements: comparison of different processing pipelines

Autor: Donatella Mattia, Floriana Pichiorri, Marcella Masciullo, Jlenia Toppi, Emma Colamarino, V. de Seta, Febo Cincotti

Publikováno v: NER

The functional connectivity between cortex and muscle during motor tasks can change after stroke. Motor rehabilitation aims at restoring it, either by re-establishing “close-to-normal” connectivity or supporting the development of alternative pat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e9ba5ffa9174d63f9688e8344710311
https://doi.org/10.1109/ner49283.2021.9441390

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Inter-muscular coherence features to classify upper limb simple tasks

Autor: Febo Cincotti, Donatella Mattia, Marcella Masciullo, Jlenia Toppi, Emma Colamarino, V. de Seta, Floriana Pichiorri

Publikováno v: NER

The application of Hybrid Brain-Computer Interfaces (BCI) for post-stroke hand motor rehabilitation requires the investigation of new electromyographic (EMG) features, potentially able to identify pathological synergies to be discouraged. Inter-muscu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e471556c4d01cabdc84c77cf38d2418f
http://hdl.handle.net/11573/1553687

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