EEG denoising through a wide and deep echo state network optimized by UPSO algorithm

EEG mobility artifact removal for ambulatory epileptic seizure prediction applications

(2019) Md Shafiqul Islam et al.   Biomedical Signal Processing and Control

The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts From Few-Channel EEG Recordings

(2018) Xun Chen et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A generic EEG artifact removal algorithm based on the multi-channel Wiener filter

(2018) Ben Somers et al.   Journal of Neural Engineering

Local Lyapunov exponents of deep echo state networks

(2018) Claudio Gallicchio et al.   NEUROCOMPUTING

Deep reservoir computing: A critical experimental analysis

(2017) Claudio Gallicchio et al.   NEUROCOMPUTING

Echo State Property of Deep Reservoir Computing Networks

(2017) Claudio Gallicchio et al.   Cognitive Computation

Removing Muscle Artifacts From EEG Data: Multichannel or Single-Channel Techniques?

(2016) Xun Chen et al.   IEEE SENSORS JOURNAL

Wearable, Wireless EEG Solutions in Daily Life Applications: What are we Missing?

(2015) Vojkan Mihajlovic et al.   IEEE Journal of Biomedical and Health Informatics

Automatic Identification and Removal of Ocular Artifacts in EEG—Improved Adaptive Predictor Filtering for Portable Applications

(2014) Qinglin Zhao et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

t-tests, non-parametric tests, and large studies—a paradox of statistical practice?

(2012) Morten W Fagerland   BMC Medical Research Methodology

The Use of Ensemble Empirical Mode Decomposition With Canonical Correlation Analysis as a Novel Artifact Removal Technique

(2012) Kevin T. Sweeney et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

EOG artifact removal using a wavelet neural network

(2012) Hoang-Anh T. Nguyen et al.   NEUROCOMPUTING

Artifacts removal in EEG signal using a new neural network enhanced adaptive filter

(2012) Aysa Jafarifarmand et al.   NEUROCOMPUTING

REG-ICA: A hybrid methodology combining Blind Source Separation and regression techniques for the rejection of ocular artifacts

(2011) Manousos A. Klados et al.   Biomedical Signal Processing and Control

PCA and ICA processing methods for removal of artifacts and noise in electrocardiograms: A survey and comparison

(2010) M.P.S. Chawla   APPLIED SOFT COMPUTING