Evidence map›Paper›PMID 30137873›Full record

ArticleCognitive neurodynamics2018

A novel real-time driving fatigue detection system based on wireless dry EEG.

Hongtao Wang, Andrei Dragomir, Nida Itrat Abbasi, Junhua Li, Nitish V Thakor, Anastasios Bezerianos

Open access · bronzeAbstract read
In one paragraph

Article in Cognitive neurodynamics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
11.1field-weighted citation impact, top 1% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
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  5. Driving fatigue detection based on brain source activity and ARMA model.Medical & biological engineering & computing · 2024
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  16. Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace-A Pilot Study.International journal of environmental research and public health · 2021
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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

6 authors at 1 institution in 1 country.

Hongtao Wang1Singapore Institute for Neurotechnology(SINAPSE), Centre for Life Sciences, National University of Singapore, Singapore, 117456 Singapore.
Andrei Dragomir1Singapore Institute for Neurotechnology(SINAPSE), Centre for Life Sciences, National University of Singapore, Singapore, 117456 Singapore.
Nida Itrat Abbasi1Singapore Institute for Neurotechnology(SINAPSE), Centre for Life Sciences, National University of Singapore, Singapore, 117456 Singapore.
Junhua Li1Singapore Institute for Neurotechnology(SINAPSE), Centre for Life Sciences, National University of Singapore, Singapore, 117456 Singapore.
Nitish V Thakor1Singapore Institute for Neurotechnology(SINAPSE), Centre for Life Sciences, National University of Singapore, Singapore, 117456 Singapore.
Anastasios Bezerianos1Singapore Institute for Neurotechnology(SINAPSE), Centre for Life Sciences, National University of Singapore, Singapore, 117456 Singapore.
National University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of techniques for detection of mental fatigue has varied applications in areas where sustaining attention is of critical importance like security and transportation. The objective of this study is to develop a novel real-time driving fatigue detection methodology based on dry Electroencephalographic (EEG) signals. The study has employed two methods in the online detection of mental fatigue: power spectrum density (

Indexed as

Channel selectionDriving fatigueDry electrodesElectroencephalogramPSD and entropy

Identifiers

PMID30137873
PMCPMC6048011
OpenAlexW2789220724

What OpenQuestion holds

Textmetadata
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.