Designing Closed-Loop Brain-Machine Interfaces Using Model Predictive Control
نویسندگان
چکیده
منابع مشابه
Designing Closed-Loop Brain-Machine Interfaces Using Model Predictive Control
Brain-machine interfaces (BMIs) are broadly defined as systems that establish direct communications between living brain tissue and external devices, such as artificial arms. By sensing and interpreting neuronal activities to actuate an external device, BMI-based neuroprostheses hold great promise in rehabilitating motor disabled subjects, such as amputees. In this paper, we develop a control-t...
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Neural prosthetic systems seek to improve the lives of severely disabled people by decoding neural activity into useful behavioral commands. These systems and their decoding algorithms are typically developed "offline," using neural activity previously gathered from a healthy animal, and the decoded movement is then compared with the true movement that accompanied the recorded neural activity. ...
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ژورنال
عنوان ژورنال: Technologies
سال: 2016
ISSN: 2227-7080
DOI: 10.3390/technologies4020018