当前位置: X-MOL 学术J. Neural Eng. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Perturbation-evoked potentials can be classified from single-trial EEG.
Journal of Neural Engineering ( IF 3.7 ) Pub Date : 2020-06-01 , DOI: 10.1088/1741-2552/ab89fb
Jonas C Ditz 1 , Andreas Schwarz , Gernot R Müller-Putz
Affiliation  

Objective. Loss of balance control can have serious consequences on interaction between humans and machines as well as the general well-being of humans. Perceived balance perturbations are always accompanied by a specific cortical activation, the so-called perturbation-evoked potential (PEP). In this study, we investigate the possibility to classify PEPs from ongoing EEG. Approach. Fifteen healthy subjects were exposed to seated whole-body perturbations. Each participant performed 120 trials; they were rapidly tilted to the right and left, 60 times respectively. Main results. We achieved classification accuracies of more than 85% between PEPs and rest EEG using a window-based classification approach. Different window lengths and electrode layouts were compared. We were able to achieve excellent classification performance (87.6 ± 8.0% accuracy) by using a short window length of 200 ms and a minimal electrode layout consisting of only the Cz electrode. The pe...

中文翻译:

摄动诱发电位可从单次试验脑电图分类。

目的。失去平衡控制可能对人与机器之间的交互以及人的整体福祉产生严重影响。感知到的平衡扰动总是伴随着特定的皮层激活,即所谓的扰动诱发电位(PEP)。在这项研究中,我们调查了从进行中的脑电图对PEP进行分类的可能性。方法。15名健康受试者暴露在坐着的全身扰动下。每个参与者进行了120次试验;它们分别迅速向左右倾斜60次。主要结果。使用基于窗口的分类方法,我们在PEP和其余EEG之间实现了超过85%的分类精度。比较了不同的窗口长度和电极布局。我们能够实现出色的分类性能(87.6±8)。通过使用200毫秒的短窗口长度和仅由Cz电极组成的最小电极布局来实现0%的精度)。体育...
更新日期:2020-06-01
down
wechat
bug