ReviewSensors (Basel, Switzerland)2023
Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques.
Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
80 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Decoding Upper-Limb Motor Imagery from EEG Signals: A Systematic Review of Methods and Applications.Annals of biomedical engineering · 2026Pooled it
- MountPat: investigations on the EEG signals.Cognitive neurodynamics · 2026Article
- Deep learning based depth of anaesthesia monitoring using EEG: a 4-layer CNN model with PSD and BSR correlation features.Physical and engineering sciences in medicine · 2026Article
- Changes in emotional response towards different facial application gestures following skincare application: An electroencephalogram approach.International journal of cosmetic science · 2026Article
- Adaptive frequency band attention-guided CNN-BiLSTM for Spatial-Spectral-Temporal EEG emotion recognition.Brain informatics · 2026Article
- EEG-based assessment of sustained attention in geriatric inpatients: a feasibility study.GeroScience · 2026Article
- Charge based boundary element method with residual driven adaptive mesh refinement for high resolution electrical stimulation modeling.Scientific reports · 2026Article
- Association between resting-state alpha oscillations and postoperative pain following endodontic treatment.Odontology · 2026Article
- Multimodal EEG-EMG and FEM-Based Adaptive Control of Passive Upper-Limb Exoskeletons.Sensors (Basel, Switzerland) · 2026Article
- SSDLabeler: realistic semi-synthetic data generation for multi-label artifact classification in EEG.Scientific reports · 2026Article
- A cross-modal framework for evaluating the mental health benefits of urban and natural landscapes in sustainable cities: an empirical study based on undergraduate students.BMC psychology · 2026Article
- Different pattern: a new EEG-based method for mental performance detection.BMC medical informatics and decision making · 2026Article
- Research on depression diagnosis method based on multi-scale analysis of frontal lead EEG.BMC medical informatics and decision making · 2026Article
- Enhancing biomedical signals through genetic algorithm optimized Exponentiated transmuted weibull denoising techniques.Scientific reports · 2026Article
- Missing Data Gap Imputation Methods in Electroencephalogram (EEG) Signals: A Systematic Scoping Review.Sensors (Basel, Switzerland) · 2026Article
- Charge Based Boundary Element Method with Residual Driven Adaptive Mesh Refinement for High Resolution Electrical Stimulation Modeling.bioRxiv : the preprint server for biology · 2026Article
- Functional Brain Network Abnormalities and Aripiprazole's Modulatory Effects in Pediatric Tic Disorder.Brain and behavior · 2026Article
- EEG imagined speech neuro-signal preprocessing and deep learning classification.Scientific reports · 2026Article
- Objective assessment of familiarity in music using imagery and EEG-based machine learning.Scientific reports · 2026Article
- Depression Detection from Three-Channel Resting-State EEG Using a Hybrid Conv1D and Spectral-Statistical Fusion Model.Sensors (Basel, Switzerland) · 2026Article
20 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The electroencephalography (EEG) signal is a noninvasive and complex signal that has numerous applications in biomedical fields, including sleep and the brain-computer interface. Given its complexity, researchers have proposed several advanced preprocessing and feature extraction methods to analyze EEG signals. In this study, we analyze a comprehensive review of numerous articles related to EEG signal processing. We searched the major scientific and engineering databases and summarized the results of our findings. Our survey encompassed the entire process of EEG signal processing, from acquisition and pretreatment (denoising) to feature extraction, classification, and application. We present a detailed discussion and comparison of various methods and techniques used for EEG signal processing. Additionally, we identify the current limitations of these techniques and analyze their future development trends. We conclude by offering some suggestions for future research in the field of EEG signal processing.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.