Applications of Brain–Machine Interface Systems in Stroke Recovery and Rehabilitation

被引：0
作者：
Venkatakrishnan A. [1 ]
Francisco G.E. [2 ,3 ]
L. Contreras-Vidal J. [1 ]
机构：
[1] Laboratory for Non-invasive Brain–Machine Interface Systems, Department of Electrical and Computer Engineering, University of Houston, Houston, TX
[2] Department of Physical Medicine and Rehabilitation, University of Texas Health Science Center, Houston, TX
[3] NeuroRecovery Research Center, TIRR Memorial Hermann Houston, Houston, TX
来源：
Current Physical Medicine and Rehabilitation Reports | 2014年 / 2卷 / 2期
基金：
美国国家科学基金会; 美国国家卫生研究院;
关键词：
Brain–machine interfaces; Clinical trials; Functional recovery; Neuroplasticity; Neurorehabilitation; Robotic exoskeletons; Robotic-assisted rehabilitation; Stroke;
D O I：
10.1007/s40141-014-0051-4
中图分类号：
学科分类号：
摘要：
Stroke is a leading cause of disability, significantly impacting the quality of life (QOL) in survivors, and rehabilitation remains the mainstay of treatment in these patients. Recent engineering and technological advances such as brain–machine interfaces (BMI) and robotic rehabilitative devices are promising to enhance stroke neurorehabilitation, to accelerate functional recovery and improve QOL. This review discusses the recent applications of BMI and robotic-assisted rehabilitation in stroke patients. We present the framework for integrated BMI and robotic-assisted therapies, and discuss their potential therapeutic, assistive and diagnostic functions in stroke rehabilitation. Finally, we conclude with an outlook on the potential challenges and future directions of these neurotechnologies, and their impact on clinical rehabilitation. © 2014, Springer Science + Business Media New York.
引用
收藏
页码：93 / 105
页数：12
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