Such an EEG-based brain-computer interface (BCI) can provide a new communication channel to replace an impaired motor function. Recently, we have proposed the detection method of Error Potential in order to add the fail safe function to BCI system. In this paper, feature extraction method ...
Feature extraction of EEG spectrum for Steady-State Visual Evoked Potentials detection 来自 学术范 喜欢 0 阅读量: 64 作者:A Itai,A Funase 摘要: Recent years, a Steady-State Visual Evoked Potential (SSVEP) is adopted as a basis for Brain Computer Interface (BCI)[1]. Various feature ...
Shanshan ChenSpringer, Berlin, HeidelbergThe feature extraction method of EEG signals based on degree distribution of complex networks from nonlinear time series. Fenglin Wang,Qingfang Meng,Weidong Zhou. Lecture Notes in Computer Science . 2013
Feature extraction in brain-computer interface (BCI) work is an important task that significantly affects the success of brain signal classification. In this paper, a feature extraction method of electroencephalographic (EEG) signals based on wavelet packet decomposition (WPD) is used. The coefficient...
For both spike sets evaluated, the clusters obtained by the algorithms had high accordance with the result of the neurophysiologist.doi:10.1006/cbmr.1996.0028Patrik WahlbergG?ran SalomonssonComputers & Biomedical ResearchPatrik;Wahlberg;G?ran;Salomonsson.Feature Extraction and Clustering of EEG Epileptic...
85. Feature extraction of EEG waveforms by directed information analysis during mis-operation of the brain-computer interface systemCLINICAL NEUROPHYSIOLOGY -SHANNON-InoueK.TaniguchiM.YamaguchiT.K. Inoue, M. Taniguchi and T. Yamaguchi, Feature extraction of EEG waveforms by directed information analysis...
Motor imagery EEG (MI-EEG), which reflects one's active movement intention, has attracted increasing attention in rehabilitation therapy, and accurate and fast feature extraction is the key problem to successful applications. Based on wavelet packet decomposition (WPD) and SE-isomap, an adaptive fea...
Feature Extraction and Clustering of EEG Epileptic Spikes 1996, Computers and Biomedical Research more Patrik Wahlberg, Göran Salomonsson Feature Extraction and Clustering of EEG Epileptic Spikes Computers and Biomedical Research, Volume 29, Issue 5, October 1996, Pages 382–394 Original Research Artic...
This project presents the usage of temporal statistics, and spectral features including spectral centroid , coefficient of variation and the spectral skew of the IMFs for feature extraction from EEG signals. These features extraction is relevant to find out the normal and pathological EEG signal. ...
Electrodes,Sleep,Support vector machine classification,Feature extraction,Brain modeling,Electroencephalography,Time-domain analysisInsomnia is one of the most ubiquitous sleep disorders. It appears frequently in those who suffer from depression, stress, and anxiety. The objective of the study is to ...