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

M. Petti, D. Mattia, F. Pichiorri, J. Toppi, S. Salinari, F. Babiloni, L. Astolfi, F. Cincotti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1267-1269
Number of pages3
ISBN (Print)9781424479290
DOIs
Publication statusPublished - Nov 2 2014
Event2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States
Duration: Aug 26 2014Aug 30 2014

Other

Other2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
CountryUnited States
CityChicago
Period8/26/148/30/14

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Biomedical Engineering

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    Petti, M., Mattia, D., Pichiorri, F., Toppi, J., Salinari, S., Babiloni, F., Astolfi, L., & Cincotti, F. (2014). A new descriptor of neuroelectrical activity during BCI-assisted motor imagery-based training in stroke patients. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 1267-1269). [6943828] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2014.6943828