Time-frequency features differentiate direction of finger movement in cued and self-paced tasks

被引：0

作者：

Ranaweera, RD ^{[1
]}

Talavage, TM ^{[1
]}

Krishnan, A ^{[1
]}

机构：

[1] Purdue Univ, Weldon Sch Biomed Engn, W Lafayette, IN 47907 USA

来源：

2005 2ND INTERNATINOAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING | 2005年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the intended goal of non-invasive control of prosthetic movement in quadriplegic patients, time-frequency distributions of scalp-recorded event-related potentials (ERPs) of movement of digits on the right hand of healthy subjects were obtained using continuous electroencephalography (EEG) and analyzed to differentiate between motor tasks. Robust, statistically significant differences were observed in the time-frequency features which may be useful in non-invasive identification of the intended direction during cued and self-paced pronation and supination of the right index finger and thumb.

引用

页码：551 / 554

页数：4