Classification of upper limb center-out reaching tasks by means of EEG-based continuous decoding techniques

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• 作者：Andrés Úbeda ; José M. Azorín…
• 关键词：Brain ; computer interface ; Electroencephalography ; Linear decoding ; Upper limb movements ; Center ; out reaching tasks
• 刊名：Journal of NeuroEngineering and Rehabilitation
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：14
• 期：1
• 全文大小：2636KB
• 刊物主题：Neurosciences; Neurology; Rehabilitation Medicine; Biomedical Engineering;
• 出版者：BioMed Central
• ISSN：1743-0003
• 卷排序：14

文摘

BackgroundOne of the current challenges in brain-machine interfacing is to characterize and decode upper limb kinematics from brain signals, e.g. to control a prosthetic device. Recent research work states that it is possible to do so based on low frequency EEG components. However, the validity of these results is still a matter of discussion. In this paper, we assess the feasibility of decoding upper limb kinematics from EEG signals in center-out reaching tasks during passive and active movements.