ArticleSensors (Basel, Switzerland)2020
Comparison of Smoothing Filters in Analysis of EEG Data for the Medical Diagnostics Purposes.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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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
27 citing papers in PubMed.
- NeuroNetFusion: enhanced EEG abnormality classification via multi-network TF-IDF feature selection.Scientific reports · 2026Article
- Identification of Comorbidities in Obstructive Sleep Apnea Using Diverse Data and a One-Dimensional Convolutional Neural Network.Sensors (Basel, Switzerland) · 2026Observational
- ArEEG: an Open-Access Arabic Inner Speech EEG Dataset.Scientific data · 2025Article
- Photoplethysmography based non-invasive blood glucose estimation using systolic-diastolic framing MFCC features and machine learning regression.BioImpacts : BI · 2025Article
- Dynamics of gas exchange and heart rate signal entropy in standard cardiopulmonary exercise testing during critical periods of growth and development.Physiological reports · 2024Article
- A Review of Patient Bed Sensors for Monitoring of Vital Signs.Sensors (Basel, Switzerland) · 2024Review
- Feasibility Analysis of ECG-Based pH Estimation for Asphyxia Detection in Neonates.Sensors (Basel, Switzerland) · 2024Article
- An electroencephalography-based sleep index and supervised machine learning as a suitable tool for automated sleep classification in children.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Study on the Psychological States of Olfactory Stimuli Using Electroencephalography and Heart Rate Variability.Sensors (Basel, Switzerland) · 2023Article
- Advanced Modeling and Signal Processing Methods in Brain-Computer Interfaces Based on a Vector of Cyclic Rhythmically Connected Random Processes.Sensors (Basel, Switzerland) · 2023Article
- Initial study on quantitative electroencephalographic analysis of bioelectrical activity of the brain of children with fetal alcohol spectrum disorders (FASD) without epilepsy.Scientific reports · 2023Article
- Investigating brain cortical activity in patients with post-COVID-19 brain fog.Frontiers in neuroscience · 2023Article
- Machine Learning Approach to Predict the Performance of a Stratified Thermal Energy Storage Tank at a District Cooling Plant Using Sensor Data.Sensors (Basel, Switzerland) · 2022Article
- EEG correlates of quality of life and associations with seizure without awareness and depression in patients with epilepsy.Neuropsychopharmacology reports · 2022Article
- Impact of EEG Frequency Bands and Data Separation on the Performance of Person Verification Employing Neural Networks.Sensors (Basel, Switzerland) · 2022Article
- SchizoGoogLeNet: The GoogLeNet-Based Deep Feature Extraction Design for Automatic Detection of Schizophrenia.Computational intelligence and neuroscience · 2022Article
- Implementation of a Convolutional Neural Network for Eye Blink Artifacts Removal From the Electroencephalography Signal.Frontiers in neuroscience · 2022Article
- The Influence of Filters on EEG-ERP Testing: Analysis of Motor Cortex in Healthy Subjects.Sensors (Basel, Switzerland) · 2021Article
- Advanced Bioelectrical Signal Processing Methods: Past, Present and Future Approach-Part II: Brain Signals.Sensors (Basel, Switzerland) · 2021Review
- Advanced Bioelectrical Signal Processing Methods: Past, Present, and Future Approach-Part III: Other Biosignals.Sensors (Basel, Switzerland) · 2021Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
This paper covers a brief review of both the advantages and disadvantages of the implementation of various smoothing filters in the analysis of electroencephalography (EEG) data for the purpose of potential medical diagnostics. The EEG data are very prone to the occurrence of various internal and external artifacts and signal distortions. In this paper, three types of smoothing filters were compared: smooth filter, median filter and Savitzky-Golay filter. The authors of this paper compared those filters and proved their usefulness, as they made the analyzed data more legible for diagnostic purposes. The obtained results were promising, however, the studies on finding perfect filtering methods are still in progress.
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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.