Keyword

EEG preprocessing

Description: EEG preprocessing is the preparation of electroencephalographic recordings through operations such as artifact handling and signal transformation before analysis.

Primary topic: EEG and Brain-Computer Interfaces (80%)

OpenAlex ID: keywords/eeg-preprocessing

EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

2004 · Arnaud Delorme, Scott Makeig · Journal of Neuroscience Methods · 24,317

Optimizing Spatial filters for Robust EEG Single-Trial Analysis

2008 · Benjamin Blankertz, Ryota Tomioka, et al. · IEEE Signal Processing Magazine · 2,078

Deep learning for electroencephalogram (EEG) classification tasks: a review

2019 · Alexander Craik, Yongtian He, et al. · Journal of Neural Engineering · 1,748

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Deep learning-based electroencephalography analysis: a systematic review

2019 · Yannick Roy, Hubert Banville, et al. · Journal of Neural Engineering · 1,515

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The PREP pipeline: standardized preprocessing for large-scale EEG analysis

2015 · Nima Bigdely-Shamlo, Tim Mullen, et al. · Frontiers in Neuroinformatics · 1,355

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A practical guide to the selection of independent components of the electroencephalogram for artifact correction

2015 · Maximilien Chaumon, Dorothy V.M. Bishop, et al. · Journal of Neuroscience Methods · 833

Evaluation of event-related desynchronization (ERD) preceding and following voluntary self-paced movement

1979 · G Pfurtscheller, A Aranibar · Electroencephalography and Clinical Neurophysiology · 756

Digital filter design for electrophysiological data – a practical approach

2014 · Andreas Widmann, Erich Schröger, et al. · Journal of Neuroscience Methods · 717

Autoreject: Automated artifact rejection for MEG and EEG data

2017 · Mainak Jas, Denis A. Engemann, et al. · NeuroImage · 601

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Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review

2021 · Hamdi Altaheri, Ghulam Muhammad, et al. · Neural Computing and Applications · 598

Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach

2019 · He He, Dongrui Wu · IEEE Transactions on Biomedical Engineering · 524

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Machine learning for real-time single-trial EEG-analysis: From brain–computer interfacing to mental state monitoring

2007 · Klaus-Robert Müller, Michael Tangermann, et al. · Journal of Neuroscience Methods · 476

Methods for artifact detection and removal from scalp EEG: A review

2016 · Md Kafiul Islam, Amir Rastegarnia, et al. · Neurophysiologie Clinique · 457

Deep learning for motor imagery EEG-based classification: A review

2020 · Ali Al-Saegh, Shefa A. Dawwd, et al. · Biomedical Signal Processing and Control · 439

Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network

2018 · Yilong Yang, Qingfeng Wu, et al. · 357

Classification of EEG signals using the wavelet transform

1997 · Neep Hazarika, Jean Zhu Chen, et al. · Signal Processing · 330

Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques

2023 · Ahmad Chaddad, Yihang Wu, et al. · Sensors · 307

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Seperability of four-class motor imagery data using independent components analysis

2006 · M Naeem, C Brunner, et al. · Journal of Neural Engineering · 295

Automagic: Standardized preprocessing of big EEG data

2019 · Andreas Pedroni, Amirreza Bahreini, et al. · NeuroImage · 292

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Acquiring simultaneous EEG and functional MRI

2000 · Robin I Goldman, John M Stern, et al. · Clinical Neurophysiology · 284

Identifying key factors for improving ICA‐based decomposition of EEG data in mobile and stationary experiments

2020 · Marius Klug, Klaus Gramann · European Journal of Neuroscience · 270

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A comparative analysis of signal processing and classification methods for different applications based on EEG signals

2020 · Ashima Khosla, Padmavati Khandnor, et al. · Journal of Applied Biomedicine · 268

Signal processing techniques applied to human sleep EEG signals—A review

2014 · Shayan Motamedi-Fakhr, Mohamed Moshrefi-Torbati, et al. · Biomedical Signal Processing and Control · 264

EEG is better left alone

2023 · Arnaud Delorme · Scientific Reports · 261

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Neural Decoding of EEG Signals with Machine Learning: A Systematic Review

2021 · Maham Saeidi, Waldemar Karwowski, et al. · Brain Sciences · 261

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Works count: 2,285

Citation count: 59,390