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Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application.
Computers in Biology and Medicine ( IF 7.7 ) Pub Date : 2020-06-07 , DOI: 10.1016/j.compbiomed.2020.103843
Muhammad Ahmed Khan 1 , Rig Das 1 , Helle K Iversen 2 , Sadasivan Puthusserypady 1
Affiliation  

Strokes are a growing cause of mortality and many stroke survivors suffer from motor impairment as well as other types of disabilities in their daily life activities. To treat these sequelae, motor imagery (MI) based brain-computer interface (BCI) systems have shown potential to serve as an effective neurorehabilitation tool for post-stroke rehabilitation therapy. In this review, different MI-BCI based strategies, including “Functional Electric Stimulation, Robotics Assistance and Hybrid Virtual Reality based Models,” have been comprehensively reported for upper-limb neurorehabilitation. Each of these approaches have been presented to illustrate the in-depth advantages and challenges of the respective BCI systems. Additionally, the current state-of-the-art and main concerns regarding BCI based post-stroke neurorehabilitation devices have also been discussed. Finally, recommendations for future developments have been proposed while discussing the BCI neurorehabilitation systems.



中文翻译:

基于运动图像的BCI系统用于上肢中风后神经康复的综述:从设计到应用。

中风是导致死亡的一个越来越大的原因,许多中风幸存者在日常生活中遭受运动障碍以及其他类型的残疾。为了治疗这些后遗症,基于运动图像(MI)的脑机接口(BCI)系统已显示出潜力,可作为中风后康复治疗的有效神经康复工具。在这篇综述中,针对上肢神经康复的各种不同的基于MI-BCI的策略,包括“功能性电刺激,机器人辅助和基于混合虚拟现实的模型”已得到了全面报道。已经提出了每种方法来说明各个BCI系统的深入优势和挑战。另外,目前还讨论了有关基于BCI的中风后神经康复设备的最新技术和主要关注点。最后,在讨论BCI神经康复系统时提出了对未来发展的建议。

更新日期:2020-07-15
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