.png){kind=icon}
返回
Brain-computer interface using water-based electrodes
.png){kind=icon}
PRE
AI
DOI：10.1088/1741-2560/7/6/066007.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Current brain-computer interfaces (BCIs) that make use of EEG acquisition techniques require unpleasant electrode gel causing skin abrasion during the standard preparation procedure Electrodes that require tap water instead of electrolytic electrode gel would make both daily setup and clean up much faster, easier and comfortable This paper presents the results from ten subjects that controlled an SSVEP-based BCI speller system using two EEG sensor modalities water-based and gel-based surface electrodes Subjects performed in copy spelling mode using conventional gel-based electrodes and water-based electrodes with a mean information transfer rate (ITR) of 29 68 +/- 14 088 bit min(-1) and of 26 56 +/- 9 224 bit min(-1), respectively A paired t-test failed to reveal significant differences in the information transfer rates and accuracies of using gel- or water-based electrodes for EEG acquisition This promising result confirms the operational readiness of water-based electrodes for BCI applications
Keyword:
HIGH-RESOLUTION EEG
DRY ELECTRODE
SYSTEM
SENSOR
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.8
论文数:
4.0K
被引数:
1.4W
机构
引用论文
Effects of structure, composition, and carbon support properties on the electrocatalytic activity of Pt-Ni-graphene nanocatalysts for the methanol oxidation结构、组成和碳载体性质对pt-ni-石墨烯纳米催化剂对甲醇氧化的电催化活性的影响
.png){kind=icon}
PREAI
分享收藏Thermophysical and mechanical characterization of clay bricks reinforced by alfa or straw fibers
OAAI
OAAI分享收藏分享收藏
查看更多内容