Evidence map›Paper›PMID 31581619›Full record

ArticleSensors (Basel, Switzerland)2019

Cost-efficient and Custom Electrode-holder Assembly Infrastructure for EEG Recordings.

Yuan-Pin Lin, Ting-Yu Chen, Wei-Jen Chen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Smart Sensors for Healthcare and Medical Applications.Sensors (Basel, Switzerland) · 2021
    Article
  4. Review
  5. 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

3 authors.

Yuan-Pin LinLaboratory for Neuroergonomics, Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 80424, Taiwan. yplin@mail.nsysu.edu.tw.ORCID 0000-0002-3434-9118
Ting-Yu ChenLaboratory for Neuroergonomics, Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 80424, Taiwan. tychen@imst.nsysu.edu.tw.
Wei-Jen ChenLaboratory for Neuroergonomics, Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 80424, Taiwan. wjc@imst.nsysu.edu.tw.ORCID 0000-0002-6034-8944

Funding

National Sun Yat-sen University, Taiwan CMRPG8I0371
6 · The paper itself

Abstract

Mobile electroencephalogram (EEG)-sensing technologies have rapidly progressed and made the access of neuroelectrical brain activity outside the laboratory in everyday life more realistic. However, most existing EEG headsets exhibit a fixed design, whereby its immobile montage in terms of electrode density and coverage inevitably poses a great challenge with applicability and generalizability to the fundamental study and application of the brain-computer interface (BCI). In this study, a cost-efficient, custom EEG-electrode holder infrastructure was designed through the assembly of primary components, including the sensor-positioning ring, inter-ring bridge, and bridge shield. It allows a user to (re)assemble a compact holder grid to accommodate a desired number of electrodes only to the regions of interest of the brain and iteratively adapt it to a given head size for optimal electrode-scalp contact and signal quality. This study empirically demonstrated its easy-to-fabricate nature by a low-end fused deposition modeling (FDM) 3D printer and proved its practicability of capturing event-related potential (ERP) and steady-state visual-evoked potential (SSVEP) signatures over 15 subjects. This paper highlights the possibilities for a cost-efficient electrode-holder assembly infrastructure with replaceable montage, flexibly retrofitted in an unlimited fashion, for an individual for distinctive fundamental EEG studies and BCI applications.

Indexed as

AdultBrainBrain-Computer InterfacesElectrodesElectroencephalographyEvoked PotentialsEvoked Potentials, VisualFemaleHumansMaleScalpYoung AdultBCImobile EEG recordingsmontage-replaceable headsets

Identifiers

PMID31581619
PMCPMC6806080

What OpenQuestion holds

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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.