[HTML][HTML] Study of electroencephalographic signal processing and classification techniques towards the use of brain-computer interfaces in virtual reality applications
F Lotte - 2008 - hal.science
A Brain-Computer Interface (BCI) is a communication system which enables its users to
send commands to a computer by using brain activity only, this brain activity being …
send commands to a computer by using brain activity only, this brain activity being …
Single trial prediction of self-paced reaching directions from EEG signals
EYL Lew, R Chavarriaga, S Silvoni… - Frontiers in …, 2014 - frontiersin.org
Early detection of movement intention could possibly minimize the delays in the activation of
neuroprosthetic devices. As yet, single trial analysis using non-invasive approaches for …
neuroprosthetic devices. As yet, single trial analysis using non-invasive approaches for …
[图书][B] Data Mining in der Medizin und Medizintechnik
R Mikut - 2008 - books.google.com
Dieses Buch systematisiert Ziele, Einsatzszenarien, Vorgehensweisen, Methoden und
Anwendungsfelder für eine automatisierte Datenanalyse in der Medizin und Medizintechnik …
Anwendungsfelder für eine automatisierte Datenanalyse in der Medizin und Medizintechnik …
EEG classification with a sequential decision-making method in motor imagery BCI
R Liu, Y Wang, GI Newman, NV Thakor… - International journal of …, 2017 - World Scientific
To develop subject-specific classifier to recognize mental states fast and reliably is an
important issue in brain–computer interfaces (BCI), particularly in practical real-time …
important issue in brain–computer interfaces (BCI), particularly in practical real-time …
Ensemble of classifiers applied to motor imagery task classification for BCI applications
Brain Computer Interfaces allow the interaction between a person and their environment
using signals extracted directly from the brain. One of the most common non-invasive …
using signals extracted directly from the brain. One of the most common non-invasive …
A real-time BCI with a small number of channels based on CSP
Y Li, Y Koike - Neural Computing and Applications, 2011 - Springer
For implementations of electroencephalography (EEG)-based brain computer interfaces
(BCIs), common spatial pattern (CSP) is one of the most popular methods. Although many …
(BCIs), common spatial pattern (CSP) is one of the most popular methods. Although many …
基于信号投影能量特征的脑电意识动态分类
邱天爽， 王永轩， 刘蓉， 李春月， 马征 - 信号处理, 2012 - signal.ejournal.org.cn
针对脑电意识任务动态分类问题, 本文提出了一种基于投影能量的特征提取方法来提取反映不同
思维状态的脑电特征, 并结合信息累积后验贝叶斯方法进行分类以提高脑 …
思维状态的脑电特征, 并结合信息累积后验贝叶斯方法进行分类以提高脑 …
[PDF][PDF] Multiple Classifier System for Motor Imagery Task Classification
AC Ramos - 2017 - maxwell.vrac.puc-rio.br
Imaginação Motora. Rio de Janeiro, 2017. 177p. Dissertação de Mestrado–Departamento
de Engenharia Elétrica, Pontifícia Universidade Católica de Rio de Janeiro. Interfaces …
de Engenharia Elétrica, Pontifícia Universidade Católica de Rio de Janeiro. Interfaces …
Adaptive power projection method for accumulative EEG classification
C Li, R Liu, Y Wang, Y Wang, X Li - 2013 35th Annual …, 2013 - ieeexplore.ieee.org
For the dynamic classification of motor imagery mind states in the brain-computer interface
(BCI), we propose a power projection based feature extraction method to classify the …
(BCI), we propose a power projection based feature extraction method to classify the …
Sequential Probability Ratio Testing with Power Projective Base Method Improves Decision‐Making for BCI
Obtaining a fast and reliable decision is an important issue in brain‐computer interfaces
(BCI), particularly in practical real‐time applications such as wheelchair or neuroprosthetic …
(BCI), particularly in practical real‐time applications such as wheelchair or neuroprosthetic …