|本期目录/Table of Contents|

基于体感电刺激的脑-机接口实验范式初探(PDF)

《纳米技术与精密工程》[ISSN:1672-6030/CN:12-1351/O3]

期数:
2015年5期
页码:
376-382
栏目:
神经工程学中的精密测量、计算与控制技术
出版日期:
2015-09-15

文章信息/Info

Title:
A Preliminary Study of Brain-Computer Interface Paradigm Based

on Electrical Somatosensory Modality

作者:
蒲江波1# 安兴伟2# 李杰威3 崔红岩1 明东2 胡勇13
(1. 中国医学科学院北京协和医学院生物医学工程研究所,天津 300192;

2.天津大学精密仪器与光电子工程学院,天津300072;

3.香港大学李嘉诚医学院矫形与创伤外科学系,香港 999077)

Author(s):
Pu Jiangbo1# An Xingwei2# Li Jiewei3 Cui Hongyan1 Ming Dong2 Hu Yong13
?

(1.Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China;

2.School of Precision Instrument and OptoElectronics Engineering, Tianjin University, Tianjin 300072, China;

3.Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The Universitty of Hong Kong,

Hong Kong 999077, China)

关键词:
脑-机接口 事件相关电位 电刺激 听觉刺激 视觉刺激
Keywords:
brain-computer interface eventrelated potential electrical stimuli auditory stimuli visual stimuli
分类号:
R318
DOI:
10.13494/j.npe.20150025
文献标识码:
A
摘要:
大脑对各类感觉输入(视、听模态)会产生不同的响应信号,脑-机接口正是利用这一响应信号实现大脑与外部设备间直接的通讯.然而以电刺激作为脑-机接口的输入模态还未有

报道.本研究尝试通过使用体感电刺激作为脑机接口的输入,从而诱发事件相关电位(ERP).在整个实验中,分别使用视觉、听觉以及电刺激作为诱发因素,针对每种条件下的事件相关电

位及其分类准确率开展对比分析.结果显示电刺激所诱发的事件相关电位幅值较高且具有相对稳定的潜伏期,其分类准确率高于听觉刺激范式.也就表明了以不同刺激强度作为参数的电刺激

范式作为脑机接口应用的可行性,这将进一步拓展脑-机接口的应用领域

Abstract:
Brain-computer interfaces (BCIs) usually apply the brain signals in responding to various sensory inputs in visual or auditory modalities to provide

direct communication pathways to external devices. No early study shows the possibility of using electrical stimuli as BCI input. In this study, we adopted the

electrical somatosensory stimuli as the BCI input to elicit eventrelated potential (ERP). Threecondition experiment was conducted using visual, auditory and

electrical stimuli individually in each condition. We compared the ERP components of each condition as well as the classification accuracy of these three conditions.

Results show that electrical stimuli could provide relatively high amplitude and stable latencies of ERP components. It also enjoys higher classdiscriminative

information and classification accuracy than auditory paradigms. Thus, electrical paradigms with different stimuli intensities could be a good choice for BCI

applications, which will enlarge the options for BCI purpose.

参考文献/References

-

备注/Memo

备注/Memo:
收稿日期: 2015-06-01.
基金项目: 国家自然科学基金资助项目(81271685);中央高校基本科研业务费专项资金资助项目;协和青年基金资助项目(3332015119).
作者简介: 蒲江波(1985—),男,博士,助理研究员;安兴伟(1986—),女,博士. #并列第一作者.
通讯作者: 胡勇,教授,yhud@hku.hk; 明东,教授,richardming@tju.edu.cn.
更新日期/Last Update: 2015-11-27