Characterization of phase space trajectories for Brain-Computer Interface-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Characterization of phase space trajectories for Brain-Computer Interface

Published:2017-09 Issue: Volume:38 Page:55-66
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Sayed Khaled,Kamel Mahmoud,Alhaddad Mohammed,Malibary Hussein M.,Kadah Yasser M.

Funder

Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference47 articles.

1. Brain-computer interface technology: a review of the first international meeting;Wolpaw;IEEE Trans. Rehabil. Eng.,2000

2. Brain–computer interfaces for communication and control;Wolpaw;Clin. Neurophysiol.,2002

3. Motor imagery and direct brain-computer communication;Pfurtscheller;Proc. IEEE,2001

4. Breaking the silence: brain-computer interfaces (BCI) for communication and motor control;Birbaumer;Psychophysiology,2006

5. Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI);Weiskopf;IEEE Trans. Biomed. Eng.,2004

Cited by 15 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. Quantification of event related brain patterns for the motor imagery tasks using inter-trial variance technique;Engineering Applications of Artificial Intelligence;2023-11

2. Data-driven motor imagery EEG classifier using difference subspace method;Biomedical Signal Processing and Control;2023-09

3. What can phone attractors in RPS tell us? A study of dynamic information in speech signals for phone classification purposes;Applied Acoustics;2023-08

4. Investigation of the dynamical behavior of brain activities during rest and motor imagery movements;Biomedical Signal Processing and Control;2023-01

5. CSP-Ph-PS: Learning CSP-phase space and Poincare sections based on evolutionary algorithm for EEG signals recognition;Expert Systems with Applications;2023-01

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