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EEG Artifact Removal Using Canonical Correlation Analysis and EMD-DFA based Hybrid Denoising Approach
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-981-15-5341-7_110openalex-snapshot
A Review on Automatic Epilepsy Detection from EEG Signals
inferredcites →https://doi.org/10.1007/bf02345968openalex-snapshot
Removal of eye blinking artifact from the electro-encephalogram, incorporating a new constrained blind source separation algorithm
inferredcites →https://doi.org/10.1016/0301-0511(83)90059-5openalex-snapshot
The removal of the eye-movement artifact from the EEG by regression analysis in the frequency domain
inferredcites →https://doi.org/10.1016/j.bspc.2011.11.003openalex-snapshot
Denoising of ECG signals based on noise reduction algorithms in EMD and wavelet domains
inferredcites →https://doi.org/10.1016/j.bspc.2013.05.001openalex-snapshot
Empirical mode decomposition based filtering techniques for power line interference reduction in electrocardiogram using various adaptive structures and subtraction methods
inferredcites →https://doi.org/10.1016/j.clinph.2006.10.019openalex-snapshot
EMG and EOG artifacts in brain computer interface systems: A survey
inferredcites →https://doi.org/10.1016/j.dsp.2014.06.006openalex-snapshot
Detrended fluctuation thresholding for empirical mode decomposition based denoising
inferredcites →https://doi.org/10.1016/j.jneumeth.2007.06.003openalex-snapshot
Denoising based on time-shift PCA
inferredcites →https://doi.org/10.1016/j.medengphy.2008.04.011openalex-snapshot
Human heart beat analysis using a modified algorithm of detrended fluctuation analysis based on empirical mode decomposition
inferredcites →https://doi.org/10.1016/j.neucom.2020.04.029openalex-snapshot
A novel end-to-end 1D-ResCNN model to remove artifact from EEG signals
inferredcites →https://doi.org/10.1016/j.physa.2011.07.008openalex-snapshot
Modified detrended fluctuation analysis based on empirical mode decomposition for the characterization of anti-persistent processes
inferredcites →https://doi.org/10.1016/s1388-2457(00)00541-1openalex-snapshot
The effects of ocular artifacts on (lateralized) broadband power in the EEG
inferredcites →https://doi.org/10.1049/cp:20040520openalex-snapshot
A novel wavelet based technique for detection and de-noising of ocular artifact in normal and epileptic electroencephalogram
inferredcites →https://doi.org/10.1088/1741-2560/12/3/031001openalex-snapshot
EEG artifact removal—state-of-the-art and guidelines
inferredcites →https://doi.org/10.1098/rspa.1998.0193openalex-snapshot
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
inferredcites →https://doi.org/10.1108/ijius-10-2021-0115openalex-snapshot
Tertiary wavelet model based automatic epilepsy classification system
inferredcites →https://doi.org/10.1109/icisce.2016.270openalex-snapshot
An Innovation Based DFA and EMD Method for Denoising Fiber Optic Gyroscope Drift Signal
inferredcites →https://doi.org/10.1109/icjece.2021.3075373openalex-snapshot
Empirical Mode Decomposition for Analysis and Filtering of Speech Signals
inferredcites →https://doi.org/10.1109/lsp.2017.2696359openalex-snapshot
Efficient Stepsize Selection Strategy for Givens Parametrized ICA Applied to EEG Denoising
inferredcites →https://doi.org/10.1109/tbme.2006.879459openalex-snapshot
Canonical Correlation Analysis Applied to Remove Muscle Artifacts From the Electroencephalogram
inferredcites →https://doi.org/10.1111/1469-8986.3720163openalex-snapshot
Removing electroencephalographic artifacts by blind source separation
inferredcites →https://doi.org/10.1111/1469-8986.3740523openalex-snapshot
Statistical control of artifacts in dense array EEG/MEG studies
inferredcites →https://doi.org/10.1111/exsy.12897openalex-snapshot
ESIMD : Epileptic seizure identification using metaheuristic deep learning technique
inferredcites →https://doi.org/10.1504/ijcat.2021.119766openalex-snapshot
Impact of feature extraction techniques on cardiac arrhythmia classification: experimental approach
inferredcites →https://doi.org/10.32598/bcn.2021.1388.2openalex-snapshot
EEG Artifact Removal System for Depression Using a Hybrid Denoising Approach
inferredcites →https://doi.org/10.3390/s17061326openalex-snapshot
Automatic Artifact Removal in EEG of Normal and Demented Individuals Using ICA–WT during Working Memory Tasks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4640539openalex-extracted
MCN-4 Invariants And Homomorphisms Implicit In, And The Irrelevance Of The Mean-Variance Framework: A Multi-Fractal Perspective.
inferred← citeshttps://doi.org/10.1007/978-3-031-42508-0_24openalex-snapshot
Impact of the Pre-processing and Balancing of EEG Data on the Performance of Graph Neural Network for Epileptic Seizure Classification
inferred← citeshttps://doi.org/10.1007/s11227-025-07932-1openalex-snapshot
Multiple artifacts detection based on channel masking and multi-feature domain semi-supervised network
inferred← citeshttps://doi.org/10.1016/j.bbe.2024.12.003openalex-snapshot
Spatio-temporal matched filter adjustment for enhanced accuracy in brain responses classification
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106475openalex-snapshot
EMD-BSS: A hybrid methodology combining Empirical Mode Decomposition and Blind Source Separation to eliminate the ocular artifacts from EEG recordings
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128526openalex-snapshot
Denoising method for EEG-based expert system in fractional wavelet domain using adaptive residual-incorporating chirp-based model
inferred← citeshttps://doi.org/10.1080/23311916.2025.2514941openalex-snapshot
A hybrid framework for muscle artifact removal in EEG: combining variational mode decomposition, stationary wavelet transform, and canonical correlation analysis
inferred← citeshttps://doi.org/10.1109/bibm66473.2025.11356487openalex-snapshot
De-Noising of EEG Signals with Non-Physiological Noise
inferred← citeshttps://doi.org/10.1109/tnsre.2024.3452315openalex-snapshot
A Learnable and Explainable Wavelet Neural Network for EEG Artifacts Detection and Classification
inferred← citeshttps://doi.org/10.17485/ijst/v17i23.3openalex-snapshot
Analysis and Comparison of Artifact Removal Techniques for Epilepsy EEG Signal
inferred← citeshttps://doi.org/10.2139/ssrn.5069579openalex-snapshot
An End-to-End Approach for Epilepsy Detection and Prediction in Eeg Recordings Using Explainable Graph Neural Networks
inferred← citeshttps://doi.org/10.37917/ijeee.22.1.1openalex-snapshot
Denoising Techniques to Enhance P300 Signal Application of Lie Detection Technology Based-on EEG
inferred← citeshttps://doi.org/10.37934/araset.40.2.96116openalex-snapshot
Applications of Brain Computer Interface for Motor Imagery Using Deep Learning: Review on Recent Trends
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