In BCI applications for stroke rehabilitation, BCI systems are used with the aim of providing patients with an instrument that is capable of monitoring and reinforcing EEG patterns generated by motor imagery (MI). In this study we proposed an offline analysis on data acquired from stroke patients subjected to a BCI-assisted MI training in order to define an index for the evaluation of MI-BCI training session which is independent from the settings adopted for the online control and which is able to describe the properties of neuroelectrical activations across sessions. Results suggest that such index can be adopted to sort the trails within a session according to the adherence to the task.

A new descriptor of neuroelectrical activity during BCI-assisted motor imagery-based training in stroke patients / Petti, Manuela; Mattia, D; Pichiorri, Floriana; Toppi, Jlenia; Salinari, Serenella; Babiloni, Fabio; Astolfi, Laura; Cincotti, Febo. - (2014), pp. 1267-1269. (Intervento presentato al convegno 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 tenutosi a Chicago; United States nel 2014-Aug) [10.1109/EMBC.2014.6943828].

A new descriptor of neuroelectrical activity during BCI-assisted motor imagery-based training in stroke patients

PETTI, MANUELA
;
PICHIORRI, FLORIANA;TOPPI, JLENIA;SALINARI, Serenella;BABILONI, Fabio;ASTOLFI, LAURA;CINCOTTI, FEBO
2014

Abstract

In BCI applications for stroke rehabilitation, BCI systems are used with the aim of providing patients with an instrument that is capable of monitoring and reinforcing EEG patterns generated by motor imagery (MI). In this study we proposed an offline analysis on data acquired from stroke patients subjected to a BCI-assisted MI training in order to define an index for the evaluation of MI-BCI training session which is independent from the settings adopted for the online control and which is able to describe the properties of neuroelectrical activations across sessions. Results suggest that such index can be adopted to sort the trails within a session according to the adherence to the task.
2014
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Modal analysis; Structural health monitoring; Output-only modal
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
A new descriptor of neuroelectrical activity during BCI-assisted motor imagery-based training in stroke patients / Petti, Manuela; Mattia, D; Pichiorri, Floriana; Toppi, Jlenia; Salinari, Serenella; Babiloni, Fabio; Astolfi, Laura; Cincotti, Febo. - (2014), pp. 1267-1269. (Intervento presentato al convegno 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 tenutosi a Chicago; United States nel 2014-Aug) [10.1109/EMBC.2014.6943828].
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