Anomaly Detection in EEG Signals: A Case Study on Similarity Measure.

Guangyuan Chen, Guoliang Lu, Zhaohong Xie, Wei Shang

Abstract read

In one paragraph

Article in Computational intelligence and neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it

0cells of the map it votes in

3citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

NeuroNetFusion: enhanced EEG abnormality classification via multi-network TF-IDF feature selection.Scientific reports · 2026
Article
E2SGAN: EEG-to-SEEG translation with generative adversarial networks.Frontiers in neuroscience · 2022
Article
Identifying Individuals With Mild Cognitive Impairment Using Working Memory-Induced Intra-Subject Variability of Resting-State EEGs.Frontiers in computational neuroscience · 2021
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Guangyuan ChenKey Laboratory of High-Efficiency and Clean Mechanical Manufacture of MOE, National Demonstration Center for Experimental Mechanical Engineering Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China.ORCID https://orcid.org/0000-0002-9099-9027

Guoliang LuKey Laboratory of High-Efficiency and Clean Mechanical Manufacture of MOE, National Demonstration Center for Experimental Mechanical Engineering Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China.ORCID https://orcid.org/0000-0003-4843-2841

Zhaohong XieInstitute of Neurology, Shandong University, Jinan, China.ORCID https://orcid.org/0000-0001-6384-5893

Wei ShangInstitute of Neurology, Shandong University, Jinan, China.ORCID https://orcid.org/0000-0002-8200-291X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AlgorithmsElectroencephalographySignal Processing, Computer-AssistedBrainData MiningHumans

Identifiers

PMID32405297

DOI10.1155/2020/6925107

PMCPMC7199628

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.