An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton

被引：4
|
作者：
Ortiz, Mario [1 ,2 ]
de la Ossa, Luis [1 ]
Juan, Javier [1 ,6 ]
Ianez, Eduardo [1 ,2 ]
Torricelli, Diego [3 ]
Tornero, Jesus [4 ]
Azorin, Jose M. [1 ,2 ,5 ]
机构：
[1] Miguel Hernandez Univ Elche, Brain Machine Interface Syst Lab, Elche 03202, Spain
[2] Miguel Hernandez Univ Elche, Inst Invest Ingn Elche I3E, Elche 03202, Spain
[3] CSIC, Inst Cajal, Madrid 28002, Spain
[4] Hosp Madronos, Ctr Clin Neurosci, Madrid 28690, Spain
[5] Valencian Grad Sch, Res Network Artificial Intelligence valgrAI, Valencia, Spain
[6] Hosp Madronos, Ctr Clin Neurosci, Madrid 28690, Spain
来源：
SCIENTIFIC DATA | 2023年 / 10卷 / 01期
关键词：
SINGLE-TRIAL EEG;
D O I：
10.1038/s41597-023-02243-7
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
One important point in the development of a brain-machine Interface (BMI) commanding an exoskeleton is the assessment of the cognitive engagement of the subject during the motor imagery tasks conducted. However, there are not many databases that provide electroencephalography (EEG) data during the use of a lower-limb exoskeleton. The current paper presents a database designed with an experimental protocol aiming to assess not only motor imagery during the control of the device, but also the attention to gait on flat and inclined surfaces. The research was conducted as an EUROBENCH subproject in the facilities sited in Hospital Los Madronos, Brunete (Madrid). The data validation reaches accuracies over 70% in the assessment of motor imagery and attention to gait, which marks the present database as a valuable resource for researches interested on developing and testing new EEG-based BMIs.
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收藏
页数：15
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