A clinical evaluation of non-invasive motor imagery-based brain-computer interface in stroke

被引：19

作者：

Ang, Kai Keng ^{[1
]}

Guan, Cuntai ^{[1
]}

Chua, Karen Sui Geok ^{[2
]}

Ang, Beng Ti ^{[3
]}

Kuah, Christopher Wee Keong ^{[2
]}

Wang, Chuanchu ^{[1
]}

Phua, Kok Soon ^{[1
]}

Chin, Zheng Yang ^{[1
]}

Zhang, Haihong ^{[1
]}

机构：

[1] ASTAR, Inst Infocomm Res, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore

[2] Tan Tock Seng Hosp, Rehabil Ctr, Singapore 569766, Singapore

[3] Natl Neurosci Inst, Singapore 308433, Singapore

来源：

2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8 | 2008年

关键词：

D O I：

10.1109/IEMBS.2008.4650130

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This clinical study investigates whether the performance of hemiparetic stroke patients operating a non-invasive Motor Imagery-based Brain-Computer Interface (MI-BCI) is comparable to healthy subjects. The study is performed on 8 healthy subjects and 35 BCI-nave hemiparetic stroke patients. This study also investigates whether the performance of the stroke patients in operating MI-BCI correlates with the extent of neurological disability. The performance is objectively computed from the 10x10-fold cross-validation accuracy of employing the Filter Bank Common Spatial Pattern (FBCSP) algorithm on their EEG measurements. The neurological disability is subjectively estimated using the Fugl-Meyer Assessment (FMA) of the upper extremity. The results show that the performance of BCI-naive hemiparetic stroke patients is comparable to healthy subjects, and no correlation is found between the accuracy of their performance and their motor impairment in terms of FMA.

引用

页码：4178 / +

页数：2

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