The use of EEG modifications due to motor imagery for brain-computer interfaces

被引：37
|
作者：
Cincotti, F [1 ]
Mattia, D
Babiloni, C
Carducci, F
Salinari, S
Bianchi, L
Marciani, MG
Babiloni, F
机构：
[1] Fdn Santa Lucia, Lab Neurofisiopatol, I-00174 Rome, Italy
[2] Univ Roma La Sapienza, Dipartimento Fisiol Umana & Farmacol, I-00185 Rome, Italy
[3] Univ Roma Tor Vergata, Dipartimento Neurosci, I-00133 Rome, Italy
[4] Univ Roma La Sapienza, Dipartimento Informat & Sistemist, I-00184 Rome, Italy
来源：
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | 2003年 / 11卷 / 02期
关键词：
brain-computer interface (BCI); event-related desynchronizations/synchronization (ERD/ERS); high-resolution electroencephalogram (EEG); motor imagery;
D O I：
10.1109/TNSRE.2003.814455
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
The opening of a communication channel between brain and computer [brain-computer interface (BCI)] is possible by using changes in electroencephalogram (EEG) power spectra related to the imagination of movements. In this paper, we present results obtained by recording EEG during an upper limb motor imagery task in a total of 18 subjects by using low-resolution surface Laplacian, different linear and quadratic classifiers, as well as a variable number of scalp electrodes, from 2 to 26. The results (variable correct classification rate of mental imagery between 75% and 95%) suggest that it is possible to recognize quite reliably ongoing mental movement imagery for BCI applications.
引用
收藏
页码：131 / 133
页数：3
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