A new descriptor of neuroelectrical activity during BCI-assisted Motor Imagery-based training in stroke patients

被引：0
|
作者：
Petti, M. [1 ,2 ]
Mattia, D. [3 ]
Pichiorri, F. [3 ]
Toppi, J. [1 ,2 ]
Salinari, S. [1 ]
Babiloni, F. [3 ,4 ]
Astolfi, L. [1 ,2 ]
Cincotti, F. [1 ,2 ]
机构：
[1] Univ Roma La Sapienza, Dept Comp Control & Management Engn, I-00185 Rome, Italy
[2] Fdn Santa Lucia Hosp, Rome, Italy
[3] Fdn Santa Lucia, Rome, Italy
[4] Univ Roma La Sapienza, Dept Physiol & Pharmacol, I-00185 Rome, Italy
来源：
2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2014年
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D O I：
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中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
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页码：1267 / 1269
页数：3
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