Review of brain–computer interface based on steady‐state visual evoked potential
S Liu, D Zhang, Z Liu, M Liu, Z Ming… - Brain Science …, 2022 - journals.sagepub.com
The brain–computer interface (BCI) technology has received lots of attention in the field of
scientific research because it can help disabled people improve their quality of life. Steady …
scientific research because it can help disabled people improve their quality of life. Steady …
Multiscale image fusion using complex extensions of EMD
Empirical mode decomposition (EMD) is a fully data driven technique for decomposing
signals into their natural scale components. However the problem of uniqueness, caused by …
signals into their natural scale components. However the problem of uniqueness, caused by …
Comparison of EMD, DWT and WPD for the localization of epileptogenic foci using random forest classifier
Localization of epileptogenic foci is an essential phase in surgical treatment planning using
the earliest time detection of the seizure onset in the recordings of electroencephalogram …
the earliest time detection of the seizure onset in the recordings of electroencephalogram …
[PDF][PDF] Non-negative matrix factorization, a new tool for feature extraction: theory and applications
I Buciu - … Journal of Computers, Communications and Control, 2008 - Citeseer
Despite its relative novelty, non-negative matrix factorization (NMF) method knew a huge
interest from the scientific community, due to its simplicity and intuitive decomposition. Plenty …
interest from the scientific community, due to its simplicity and intuitive decomposition. Plenty …
Source-space ICA for EEG source separation, localization, and time-course reconstruction
We propose source-space independent component analysis (ICA) for separation,
tomography, and time-course reconstruction of EEG and MEG source signals. Source-space …
tomography, and time-course reconstruction of EEG and MEG source signals. Source-space …
Identifying metastatic ability of prostate cancer cell lines using native fluorescence spectroscopy and machine learning methods
Metastasis is the leading cause of mortalities in cancer patients due to the spreading of
cancer cells to various organs. Detecting cancer and identifying its metastatic potential at the …
cancer cells to various organs. Detecting cancer and identifying its metastatic potential at the …
Epileptic seizure detection using empirical mode decomposition
AK Tafreshi, AM Nasrabadi… - 2008 IEEE International …, 2008 - ieeexplore.ieee.org
In this paper, we attempt to analyze the performance of the Empirical Mode Decomposition
(EMD) for discriminating epileptic seizure data from the normal data. The Empirical Mode …
(EMD) for discriminating epileptic seizure data from the normal data. The Empirical Mode …
Selection of an efficient feature space for EEG-based mental task discrimination
S Noshadi, V Abootalebi, MT Sadeghi… - Biocybernetics and …, 2014 - Elsevier
The aim of this paper is to contribute toward exploring an optimal feature space for
discriminating mental tasks. Empirical mode decomposition (EMD) algorithm seems useful …
discriminating mental tasks. Empirical mode decomposition (EMD) algorithm seems useful …
Feature selection algorithm for evoked EEG signal due to RGB colors
ET Alharbi, S Rasheed… - 2016 9th International …, 2016 - ieeexplore.ieee.org
In this paper, a single trial classification is introduced for the Electroencephalography (EEG)
signals evoked by RGB colors. The effectiveness of a single trial classification is an …
signals evoked by RGB colors. The effectiveness of a single trial classification is an …
Measuring phase synchrony using complex extensions of EMD
A framework for the robust assessment of phase synchrony between multichannel
observations is introduced. This is achieved by using empirical mode decomposition (EMD) …
observations is introduced. This is achieved by using empirical mode decomposition (EMD) …