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基于闪烁动作视频的稳态视觉诱发电位触发脑机接口-功能性电刺激的康复动作观察游戏。

Development of a flickering action video based steady state visual evoked potential triggered brain computer interface-functional electrical stimulation for a rehabilitative action observation game.

机构信息

Department of Bioscience, College of Natural Science, Keimyung University, Daegu, Korea.

Department of Rehabilitation Medicine, Eulji Hospital, Eulji University School of Medicine, Seoul, Korea.

出版信息

Technol Health Care. 2020;28(S1):509-519. doi: 10.3233/THC-209051.

DOI:10.3233/THC-209051
PMID:32364183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7369077/
Abstract

BACKGROUND

This study focused on developing an upper limb rehabilitation program. In this regard, a steady state visual evoked potential (SSVEP) triggered brain computer interface (BCI)-functional electrical stimulation (FES) based action observation game featuring a flickering action video was designed.

OBJECTIVE

In particular, the synergetic effect of the game was investigated by combining the action observation paradigm with BCI based FES.

METHODS

The BCI-FES system was contrasted under two conditions: with flickering action video and flickering noise video. In this regard, 11 right-handed subjects aged between 22-27 years were recruited. The differences in brain activation in response to the two conditions were examined.

RESULTS

The results indicate that T3 and P3 channels exhibited greater Mu suppression in 8-13 Hz for the action video than the noise video. Furthermore, T4, C4, and P4 channels indicated augmented high beta (21-30 Hz) for the action in contrast to the noise video. Finally, T4 indicated suppressed low beta (14-20 Hz) for the action video in contrast to the noise video.

CONCLUSION

The flickering action video based BCI-FES system induced a more synergetic effect on cortical activation than the flickering noise based system.

摘要

背景

本研究旨在开发一种上肢康复方案。为此,设计了一种基于稳态视觉诱发电位(SSVEP)触发脑机接口(BCI)-功能性电刺激(FES)的动作观察游戏,该游戏具有闪烁动作视频。

目的

特别是通过将动作观察范式与基于 BCI 的 FES 相结合,研究了游戏的协同效应。

方法

在两种条件下对比了 BCI-FES 系统:带有闪烁动作视频和闪烁噪声视频。为此,招募了 11 名年龄在 22-27 岁之间的右利手受试者。检查了两种条件下大脑激活的差异。

结果

结果表明,与噪声视频相比,T3 和 P3 通道在 8-13 Hz 频段的 Mu 抑制更大。此外,与噪声视频相比,T4、C4 和 P4 通道的高 beta(21-30 Hz)增加。最后,与噪声视频相比,T4 通道的低 beta(14-20 Hz)受到抑制。

结论

与基于闪烁噪声的系统相比,基于闪烁动作视频的 BCI-FES 系统对皮层激活产生了更协同的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ff1/7369077/5ed2b61e907d/thc-28-thc209051-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ff1/7369077/2762a617608e/thc-28-thc209051-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ff1/7369077/03e9c4c00912/thc-28-thc209051-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ff1/7369077/baa6d6121a90/thc-28-thc209051-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ff1/7369077/5ed2b61e907d/thc-28-thc209051-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ff1/7369077/2762a617608e/thc-28-thc209051-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ff1/7369077/03e9c4c00912/thc-28-thc209051-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ff1/7369077/baa6d6121a90/thc-28-thc209051-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ff1/7369077/5ed2b61e907d/thc-28-thc209051-g004.jpg

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