Applying dynamic data collection to improve dry electrode system performance for a P300-based brain–computer interface-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Applying dynamic data collection to improve dry electrode system performance for a P300-based brain–computer interface

Published:2016-11-07 Issue:6 Volume:13 Page:066018
ISSN:1741-2560
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Clements J M,Sellers E W,Ryan D B,Caves K,Collins L M,Throckmorton C S

Funder

National Science Foundation

National Institute on Deafness and Other Communication Disorders

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

http://stacks.iop.org/1741-2552/13/i=6/a=066018/pdf

Reference35 articles.

1. A brain-computer interface for long-term independent home use

2. Brain Computer Interfaces, a Review

3. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials

4. ERPs evoked by different matrix sizes: implications for a brain computer interface (BCI) system

5. What would brain-computer interface users want? Opinions and priorities of potential users with amyotrophic lateral sclerosis

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effects of the presentation order of stimulations in sequential ERP/SSVEP Hybrid Brain-Computer Interface;Biomedical Physics & Engineering Express;2024-03-13

2. Flexible electrodes for non-invasive brain–computer interfaces: A perspective;APL Materials;2022-09-01

3. A systematic review of research on augmentative and alternative communication brain-computer interface systems for individuals with disabilities;Frontiers in Human Neuroscience;2022-07-27

4. Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications;Scientific Reports;2020-03-23

5. A Novel P300 Classification Algorithm Based on a Principal Component Analysis-Convolutional Neural Network;Applied Sciences;2020-02-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3