Discreet Discrete Commands for Assistive and Neuroprosthetic Devices

被引:12
作者
Foldes, Stephen T. [1 ]
Taylor, Dawn M. [2 ]
机构
[1] Case Western Reserve Univ, Dept Biomed Engn, Cleveland, OH 44106 USA
[2] Louis Stokes Vet Affairs Med Ctr, FES Ctr Excellence, Cleveland, OH 44106 USA
基金
美国国家卫生研究院;
关键词
Brain-computer interface (BCI); classification; electroencephalography (EEG); electromyography (EMG); functional electrical stimulation (FES); COMPUTER-INTERFACE; EEG; ARTIFACTS;
D O I
10.1109/TNSRE.2009.2033428
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Many new assistive devices are available for individuals paralyzed below the neck due to spinal cord injury. Severely paralyzed individuals must be able to command their complex assistive devices using remaining activity from the neck up. Electromyographic (EMG) sensors enable people to use contractions of head and neck muscles to generate multiple proportional command signals. Electroencephalographic (EEG) signals can also be used to generate commands for assistive device control by conveying information about imagined or attempted movements. Fully-implanted wireless biopotential detection systems are now being developed to reliably detect EMGs, EEGs, or a mixture of the two from recording electrodes implanted just under the skin or scalp thus eliminating the need for externally worn hardware on the head or face. This present study shows how novel patterns of jaw muscle contractions, detected via biopotential sensors on the scalp surface or implanted just under the scalp, can be used to generate reliable discrete EMG commands, which can be differentiated from patterns generated during normal activities, such as chewing. These jaw contractions can be detected with sensors already in place to detect other muscle-or brain-based command signals thus adding to the functionality of current device control systems.
引用
收藏
页码:236 / 244
页数:9
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