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本文引用的文献

1
Expanding the (kaleido)scope: exploring current literature trends for translating electroencephalography (EEG) based brain-computer interfaces for motor rehabilitation in children.拓展(千变万化的)视野:探索当前将基于脑电图(EEG)的脑机接口用于儿童运动康复的文献趋势。
J Neural Eng. 2016 Dec;13(6):061002. doi: 10.1088/1741-2560/13/6/061002. Epub 2016 Oct 20.
2
Evaluate the Feasibility of Using Frontal SSVEP to Implement an SSVEP-Based BCI in Young, Elderly and ALS Groups.评估在年轻组、老年组和肌萎缩性侧索硬化症(ALS)组中使用额部稳态视觉诱发电位(SSVEP)实现基于 SSVEP 的脑-机接口(BCI)的可行性。
IEEE Trans Neural Syst Rehabil Eng. 2016 May;24(5):603-15. doi: 10.1109/TNSRE.2015.2496184. Epub 2015 Nov 23.
3
An SSVEP-Based Brain-Computer Interface for Text Spelling With Adaptive Queries That Maximize Information Gain Rates.一种基于稳态视觉诱发电位的脑机接口,用于文本拼写,采用自适应查询以最大化信息增益率。
IEEE Trans Neural Syst Rehabil Eng. 2015 Sep;23(5):857-66. doi: 10.1109/TNSRE.2014.2373338. Epub 2014 Dec 2.
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An independent SSVEP-based brain-computer interface in locked-in syndrome.一种用于闭锁综合征的基于独立稳态视觉诱发电位的脑机接口。
J Neural Eng. 2014 Jun;11(3):035002. doi: 10.1088/1741-2560/11/3/035002. Epub 2014 May 19.
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Age-specific mechanisms in an SSVEP-based BCI scenario: evidences from spontaneous rhythms and neuronal oscillators.基于 SSVEP 的脑-机接口场景中的年龄特异性机制:自发节律和神经元振荡器的证据。
Comput Intell Neurosci. 2012;2012:967305. doi: 10.1155/2012/967305. Epub 2012 Dec 6.
6
How Many People Could Use an SSVEP BCI?有多少人可以使用 SSVEP BCI?
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7
Continuous three-dimensional control of a virtual helicopter using a motor imagery based brain-computer interface.使用基于运动想象的脑机接口连续三维控制虚拟直升机。
PLoS One. 2011;6(10):e26322. doi: 10.1371/journal.pone.0026322. Epub 2011 Oct 26.
8
A survey on self-assessed well-being in a cohort of chronic locked-in syndrome patients: happy majority, miserable minority.一项对慢性闭锁综合征患者队列的自我幸福感评估调查:多数患者感到幸福,少数患者感到痛苦。
BMJ Open. 2011 Feb 23;1(1):e000039. doi: 10.1136/bmjopen-2010-000039.
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A Novel 9-Class Auditory ERP Paradigm Driving a Predictive Text Entry System.一种新型的 9 类听觉 ERP 范式驱动预测文本输入系统。
Front Neurosci. 2011 Aug 22;5:99. doi: 10.3389/fnins.2011.00099. eCollection 2011.
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Acquired control of ventral premotor cortex activity by feedback training: an exploratory real-time FMRI and TMS study.经反馈训练获得腹侧运动前皮层活动的控制:一项探索性实时 fMRI 和 TMS 研究。
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9-11 岁儿童使用基于 SSVEP 的脑机接口进行目标选择的性能。

The performance of 9-11-year-old children using an SSVEP-based BCI for target selection.

机构信息

National Center for Adaptive Neurotechnologies, Wadsworth Center, New York State Department of Health, PO Box 22002, Albany, NY 12201, United States of America. Department of Neurology, Stratton VA Medical Center, 113 Holland Ave, Albany, NY 12208, United States of America. Department of Electrical and Computer Engineering, University of Illinois, 306 N Wright St, Urbana, IL 61801, United States of America.

出版信息

J Neural Eng. 2018 Oct;15(5):056012. doi: 10.1088/1741-2552/aacfdd. Epub 2018 Jun 28.

DOI:10.1088/1741-2552/aacfdd
PMID:29952751
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6309895/
Abstract

OBJECTIVE

In this paper, we report the performance of 9-11-year-old children using a steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) and provide control data collected from adults for comparison. Children in our study achieved a much higher performance (79% accuracy; average age 9.64 years old) than the only previous investigation of children using an SSVEP-based BCI (∼50% accuracy; average age 9.86 years old).

APPROACH

Experiments were conducted in two phases, a short calibration phase and a longer experimental phase. An offline analysis of the data collected during the calibration phase was used to set two parameters for a classifier and to screen participants who did not achieve a minimum accuracy of 85%.

MAIN RESULTS

Eleven of the 14 children and all 11 of the adults who completed the calibration phase met the minimum accuracy requirement. During the experimental phase, children selected targets with a similar accuracy (79% for children versus 78% for adults), latency (2.1 s for children versus 1.9 s for adults), and bitrate (0.50 bits s for children and 0.56 bits s for adults) as adults.

SIGNIFICANCE

This study shows that children can use an SSVEP-based BCI with higher performance than previously believed and is the first to report the performance of children using an SSVEP-based BCI in terms of latency and bitrate. The results of this study imply that children with severe motor disabilities (such as locked-in syndrome) may use an SSVEP-based BCI to restore/replace the ability to communicate.

摘要

目的

本研究报告了使用稳态视觉诱发电位(SSVEP)脑-机接口(BCI)的 9-11 岁儿童的表现,并提供了成人的对照数据。与之前仅对使用 SSVEP-BCI 的儿童进行的研究(约 50%的准确率;平均年龄 9.86 岁)相比,我们研究中的儿童表现出更高的性能(准确率 79%;平均年龄 9.64 岁)。

方法

实验分为两个阶段进行,一个是短期校准阶段,另一个是较长的实验阶段。通过对校准阶段收集的数据进行离线分析,为分类器设置了两个参数,并筛选出准确率未达到 85%的参与者。

主要结果

在完成校准阶段的 14 名儿童中有 11 名,以及所有 11 名成人都达到了最低准确率要求。在实验阶段,儿童的目标选择准确率与成人相似(儿童为 79%,成人为 78%),潜伏期(儿童为 2.1 秒,成人为 1.9 秒)和比特率(儿童为 0.50 比特/秒,成人为 0.56 比特/秒)也相似。

意义

这项研究表明,儿童可以使用 SSVEP-BCI 获得比之前认为的更高的性能,并且是第一个报告使用 SSVEP-BCI 的儿童在潜伏期和比特率方面的表现的研究。这项研究的结果表明,患有严重运动障碍(如闭锁综合征)的儿童可能会使用 SSVEP-BCI 来恢复/替代交流能力。