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A coloring and timing brain-computer interface for the nursing bed robot
Computers & Electrical Engineering ( IF 4.3 ) Pub Date : 2021-09-09 , DOI: 10.1016/j.compeleceng.2021.107415
Yuancheng Li 1 , Tianwei Zheng 1 , Mei Wang 1 , Lihong Dong 1 , Pai Wang 1 , Xuebin Qin 1
Affiliation  

The patient with a severely spinal injury needs an intention-controlled nursing bed (NB) robot to help the body actions. To recognize human intentions, the brain–computer interface (BCI) of the steady-state visual evoked potentials (SSVEPs) is usually used. For the BCI of the SSVEPs, the visual fatigue should be alleviated, and the intention recognition accuracy should be improved. Therefor this paper proposed a coloring and timing BCI (CT-BCI) to alleviate the visual fatigue, and find the optimal Wavelet vanishing moment parameter to improve the intention recognition accuracy. In addition, the intention coding and decoding are designed and implemented. Furthermore, the wireless communications are used among the CT-BCI and the robots in the internet of things. Experiments show that the proposed CT-BCI decreases the average evocation time for each intention by 0.8 s, and prolongs the eye non-fatigue duration by 5.45 s, and improves the intention recognition accuracy by 6.7% compared with the traditional BCI.



中文翻译:

一种用于护理床机器人的着色和计时脑机接口

严重脊柱损伤的患者需要一个意图控制的护理床(NB)机器人来帮助身体动作。为了识别人类意图,通常使用稳态视觉诱发电位 (SSVEP) 的脑机接口 (BCI)。对于SSVEPs的BCI,应减轻视觉疲劳,提高意图识别准确率。为此本文提出了一种着色和定时BCI(CT-BCI)来缓解视觉疲劳,并寻找最优的小波消失矩参数来提高意图识别的准确性。此外,设计并实现了意图编码和解码。此外,CT-BCI与物联网中的机器人之间使用无线通信。

更新日期:2021-09-09
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