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基于脑电图的脑机接口用于运动障碍患者的交流与康复:.

EEG-Based Brain-Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: .

作者信息

Lazarou Ioulietta, Nikolopoulos Spiros, Petrantonakis Panagiotis C, Kompatsiaris Ioannis, Tsolaki Magda

机构信息

Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece.

1st Department of Neurology, University Hospital "AHEPA", School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.

出版信息

Front Hum Neurosci. 2018 Jan 31;12:14. doi: 10.3389/fnhum.2018.00014. eCollection 2018.

Abstract

People with severe neurological impairments face many challenges in sensorimotor functions and communication with the environment; therefore they have increased demand for advanced, adaptive and personalized rehabilitation. During the last several decades, numerous studies have developed brain-computer interfaces (BCIs) with the goals ranging from providing means of communication to functional rehabilitation. Here we review the research on non-invasive, electroencephalography (EEG)-based BCI systems for communication and rehabilitation. We focus on the approaches intended to help severely paralyzed and locked-in patients regain communication using three different BCI modalities: slow cortical potentials, sensorimotor rhythms and P300 potentials, as operational mechanisms. We also review BCI systems for restoration of motor function in patients with spinal cord injury and chronic stroke. We discuss the advantages and limitations of these approaches and the challenges that need to be addressed in the future.

摘要

患有严重神经功能障碍的人在感觉运动功能以及与环境的交流方面面临诸多挑战;因此,他们对先进的、适应性强的个性化康复的需求日益增加。在过去几十年里,众多研究开发了脑机接口(BCI),其目标从提供交流手段到功能康复不等。在此,我们回顾基于非侵入性脑电图(EEG)的用于交流和康复的脑机接口系统的研究。我们重点关注旨在帮助严重瘫痪和闭锁综合征患者通过三种不同的脑机接口模式恢复交流的方法:慢皮层电位、感觉运动节律和P300电位,作为操作机制。我们还回顾了用于脊髓损伤和慢性中风患者运动功能恢复的脑机接口系统。我们讨论了这些方法的优点和局限性以及未来需要解决的挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b4a/5810272/1715c065d3fc/fnhum-12-00014-g001.jpg

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