Related references
Note: Only part of the references are listed.Multiset task related component analysis (M-TRCA) for SSVEP frequency recognition in BCI
A. Mary Judith et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)
An efficientpriority-basedconvolutionalauto-encoderapproach for electrocardiogram signal compression in Internet of Things based healthcare system
Rakesh Kumar Mahendran et al.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES (2021)
SVD update methods for large matrices and applications
Juan Manuel Pena et al.
LINEAR ALGEBRA AND ITS APPLICATIONS (2019)
Removal of Eye Blink Artifacts From EEG Signals Using Sparsity
S. R. Sreeja et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2018)
Generalized Stockwell transform and SVD-based epileptic seizure detection in EEG using random forest
Tao Zhang et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2018)
Trends in biomedical signal feature extraction
Sridhar Krishnan et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2018)
Exploring the origins of EEG motion artefacts during simultaneous fMRI acquisition: Implications for motion artefact correction
Glyn S. Spencer et al.
NEUROIMAGE (2018)
Bayesian tensor factorization for multi-way analysis of multi-dimensional EEG
Yunbo Tang et al.
NEUROCOMPUTING (2018)
Harmonic separation from grid voltage using ensemble empirical-mode decomposition and independent component analysis
Kewei Cai et al.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (2017)
Real-time ocular artifacts removal of EEG data using a hybrid ICA-ANC approach
Aysa Jafarifarmand et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2017)
Removing Muscle Artifacts From EEG Data: Multichannel or Single-Channel Techniques?
Xun Chen et al.
IEEE SENSORS JOURNAL (2016)
Single-Channel EMG Classification With Ensemble-Empirical-Mode-Decomposition-Based ICA for Diagnosing Neuromuscular Disorders
Ganesh R. Naik et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2016)
Comparative study of FIR and IIR filters for the removal of 50 Hz noise from EEG signal
Vivek Singh et al.
INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY (2016)
A new music-empirical wavelet transform methodology for time-frequency analysis of noisy nonlinear and non-stationary signals
Juan P. Amezquita-Sanchez et al.
DIGITAL SIGNAL PROCESSING (2015)
Tensor Based Singular Spectrum Analysis for Automatic Scoring of Sleep EEG
Samaneh Kouchaki et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2015)
Edge Effect Elimination in Single-Mixture Blind Source Separation
Yina Guo et al.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING (2013)
Source Separation From Single-Channel Recordings by Combining Empirical-Mode Decomposition and Independent Component Analysis
Bogdan Mijovic et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2010)
Automatic correction of artifact from single-trial event-related potentials by blind source separation using second order statistics only
K. H. Ting et al.
MEDICAL ENGINEERING & PHYSICS (2006)
PhysioBank, PhysioToolkit, and PhysioNet - Components of a new research resource for complex physiologic signals
AL Goldberger et al.
CIRCULATION (2000)
Independent component approach to the analysis of EEG and MEG recordings
R Vigário et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2000)