Evidence map›Paper›PMID 36854544›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2023

[Resting-state electroencephalogram relevance state recognition of Parkinson's disease based on dynamic weighted symbolic mutual information and

Hao Ding, Jinhui Wu, Xudong Tang, Jiangnan Yu, Xuanheng Chen, Zhanxiong Wu

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Hao DingSchool of Electronic Information, Hangzhou Dianzi University, Hangzhou 310018, P. R. China.
Jinhui WuSchool of Electronic Information, Hangzhou Dianzi University, Hangzhou 310018, P. R. China.
Xudong TangSchool of Electronic Information, Hangzhou Dianzi University, Hangzhou 310018, P. R. China.
Jiangnan YuSchool of Electronic Information, Hangzhou Dianzi University, Hangzhou 310018, P. R. China.
Xuanheng ChenSchool of Electronic Information, Hangzhou Dianzi University, Hangzhou 310018, P. R. China.
Zhanxiong WuSchool of Electronic Information, Hangzhou Dianzi University, Hangzhou 310018, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, the incidence of Parkinson's disease (PD) is gradually increasing. This seriously affects the quality of life of patients, and the burden of diagnosis and treatment is increasing. However, the disease is difficult to intervene in early stage as early monitoring means are limited. Aiming to find an effective biomarker of PD, this work extracted correlation between each pair of electroencephalogram (EEG) channels for each frequency band using weighted symbolic mutual information and

Indexed as

Parkinson DiseaseCluster AnalysisElectroencephalographyHealthy VolunteersHumansQuality of LifeElectroencephalogramk-means clusteringParkinson’s diseaseWeighted symbolic mutual information

Identifiers

PMID36854544
PMCPMC9989746

What OpenQuestion holds

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Registered trials

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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.