4.6 Article

SSA with CWT and k-Means for Eye-Blink Artifact Removal from Single-Channel EEG Signals

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

Research on removal algorithm of EOG artifacts in single-channel EEG signals based on CEEMDAN-BD

Quanyu Wu et al.

Summary: This paper proposes a method utilizing the CEEMDAN-BD algorithm to separate EEG signals and EOG artifacts, successfully achieving separation through iterative construction of cost function. The results demonstrate better separation effectiveness on EOG artifacts than previous studies, with a correlation coefficient of 0.81 in real-life data, solving the modal aliasing problem and retaining most of the original EEG signal components.

COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING (2021)

Article Chemistry, Analytical

Tracking of Mental Workload with a Mobile EEG Sensor

Ekaterina Kutafina et al.

Summary: The study used a mobile EEG setup to track mental workload and found that it can effectively detect changes in cognitive load. Different levels of cognitive load could be accurately discriminated through analyzing alterations across lobes in different frequency bands and utilizing machine learning models.

SENSORS (2021)

Article Multidisciplinary Sciences

Eye-blink artifact removal from single channel EEG with k-means and SSA

Ajay Kumar Maddirala et al.

Summary: In this study, a new framework combining unsupervised machine learning algorithm and singular spectrum analysis technique was proposed to remove eye-blink artifact from single channel EEG signal without modifying the original EEG signal. The results showed that the proposed method outperformed existing techniques in removing eye-blink artifact while keeping the uncontaminated regions of the EEG signal intact.

SCIENTIFIC REPORTS (2021)

Article Engineering, Biomedical

VME-DWT: An Efficient Algorithm for Detection and Elimination of Eye Blink From Short Segments of Single EEG Channel

Mohammad Shahbakhti et al.

Summary: This study introduces an algorithm called VME-DWT, which can effectively remove eye blink artifacts in single-channel EEG. The algorithm demonstrates superior performance compared to other methods, making it a promising approach for eye blink removal in low-cost single-channel EEG systems.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2021)

Article Computer Science, Interdisciplinary Applications

A singular spectrum analysis-based model-free electrocardiogram denoising technique

Sourav Kumar Mukhopadhyay et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)

Article Engineering, Biomedical

Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-Channel EEG Recordings

Chi-Yuan Chang et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2020)

Article Engineering, Biomedical

How Sensitive Are EEG Results to Preprocessing Methods: A Benchmarking Study

Kay A. Robbins et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2020)

Article Clinical Neurology

Low-Frequency Oscillations Are a Biomarker of Injury and Recovery After Stroke

Jessica M. Cassidy et al.

STROKE (2020)

Article Engineering, Biomedical

Removal of EOG artifacts from single channel EEG - An efficient model combining overlap segmented ASSA and ANC

Sayedu Khasim Noorbasha et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)

Article Multidisciplinary Sciences

Predicting stroke severity with a 3-min recording from the Muse portable EEG system for rapid diagnosis of stroke

Cassandra M. Wilkinson et al.

SCIENTIFIC REPORTS (2020)

Article Chemistry, Analytical

Quality Assessment of Single-Channel EEG for Wearable Devices

Fanny Grosselin et al.

SENSORS (2019)

Article Engineering, Biomedical

Research on fatigue driving detection using forehead EEG based on adaptive multi-scale entropy

Haowen Luo et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2019)

Article Neurosciences

Analysis of Prefrontal Single-Channel EEG Data for Portable Auditory ERP-Based Brain-Computer Interfaces

Mikito Ogino et al.

FRONTIERS IN HUMAN NEUROSCIENCE (2019)

Article Neurosciences

Improved EOG Artifact Removal Using Wavelet Enhanced Independent Component Analysis

Mohamed F. Issa et al.

BRAIN SCIENCES (2019)

Article Engineering, Electrical & Electronic

Separation of Sources From Single-Channel EEG Signals Using Independent Component Analysis

Ajay Kumar Maddirala et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2018)

Article Computer Science, Hardware & Architecture

Detection of Driver Vigilance Level Using EEG Signals and Driving Contexts

Zizheng Guo et al.

IEEE TRANSACTIONS ON RELIABILITY (2018)

Review Engineering, Industrial

A survey on health monitoring systems for health smart homes

Haider Mshali et al.

INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS (2018)

Article Multidisciplinary Sciences

Upper limb movements can be decoded from the time-domain of low-frequency EEG

Patrick Ofner et al.

PLOS ONE (2017)

Article Multidisciplinary Sciences

Acute single channel EEG predictors of cognitive function after stroke

Anna Aminov et al.

PLOS ONE (2017)

Article Engineering, Biomedical

Motion artifact removal from single channel electroencephalogram signals using singular spectrum analysis

Ajay Kumar Maddirala et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2016)

Article Engineering, Electrical & Electronic

Removal of EOG Artifacts From Single Channel EEG Signals Using Combined Singular Spectrum Analysis and Adaptive Noise Canceler

Ajay Kumar Maddirala et al.

IEEE SENSORS JOURNAL (2016)

Article Psychology, Biological

Test-retest reliability of a single-channel, wireless EEG system

Jeffrey M. Rogers et al.

INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY (2016)

Article Computer Science, Information Systems

The Removal of EOG Artifacts From EEG Signals Using Independent Component Analysis and Multivariate Empirical Mode Decomposition

Gang Wang et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2016)

Article Engineering, Biomedical

An EEG/EOG-based hybrid brain-neural computer interaction (BNCI) system to control an exoskeleton for the paralyzed hand

Surjo R. Soekadar et al.

BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK (2015)

Article Engineering, Biomedical

An EEG/EOG-based hybrid brain-neural computer interaction (BNCI) system to control an exoskeleton for the paralyzed hand

Surjo R. Soekadar et al.

BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK (2015)

Article Engineering, Biomedical

Enhancing brain-machine interface (BMI) control of a hand exoskeleton using electrooculography (EOG)

Matthias Witkowski et al.

JOURNAL OF NEUROENGINEERING AND REHABILITATION (2014)

Article Computer Science, Information Systems

Removal of Ocular Artifacts in EEG-An Improved Approach Combining DWT and ANC for Portable Applications

Hong Peng et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2013)

Article Biology

An ensemble system for automatic sleep stage classification using single channel EEG signal

B. Koley et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2012)

Article Engineering, Biomedical

A New Adaptive Line Enhancer Based on Singular Spectrum Analysis

Saeid Sanei et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2012)

Article Clinical Neurology

Online Removal of Muscle Artifact from Electroencephalogram Signals Based on Canonical Correlation Analysis

Junfeng Gao et al.

CLINICAL EEG AND NEUROSCIENCE (2010)

Review Behavioral Sciences

The role of EEG in epilepsy: A critical review

Soheyl Noachtar et al.

EPILEPSY & BEHAVIOR (2009)

Article Computer Science, Artificial Intelligence

Using EEG spectral components to assess algorithms for detecting fatigue

Budi Thomas Jap et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Clinical Neurology

A fully automated correction method of EOG artifacts in EEG recordings

A. Schloegl et al.

CLINICAL NEUROPHYSIOLOGY (2007)

Article Biochemical Research Methods

Recovering EEG brain signals: Artifact suppression with wavelet enhanced independent component analysis

Nazareth P. Castellanos et al.

JOURNAL OF NEUROSCIENCE METHODS (2006)

Article Engineering, Biomedical

Canonical correlation analysis applied to remove muscle artifacts from the electroencephalogram

Wim De Clercq et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2006)

Article Computer Science, Interdisciplinary Applications

Automatic removal of high-amplitude artefacts from single-channel electroencephalograms

A. R. Teixeira et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2006)

Article Computer Science, Interdisciplinary Applications

Removal of ocular artifacts from electro-encephalogram by adaptive filtering

P He et al.

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2004)

Article Engineering, Biomedical

BCI2000: A general-purpose, brain-computer interface (BCI) system

G Schalk et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2004)

Article Clinical Neurology

The effects of ocular artifacts on (lateralized) broadband power in the EEG

D Hagemann et al.

CLINICAL NEUROPHYSIOLOGY (2001)

Article Engineering, Biomedical

Independent component approach to the analysis of EEG and MEG recordings

R Vigário et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2000)