Evidence map›Paper›PMID 36298430›Full record

ArticleSensors (Basel, Switzerland)2022

Multi-Center Evaluation of Gel-Based and Dry Multipin EEG Caps.

Chuen Rue Ng, Patrique Fiedler, Levin Kuhlmann, David Liley, Beatriz Vasconcelos, Carlos Fonseca, Gabriella Tamburro, Silvia Comani, Troby Ka-Yan Lui, Chun-Yu Tse and 3 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

13 authors.

Chuen Rue NgInstitute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, 98693 Ilmenau, Germany.ORCID 0000-0003-0532-391X
Patrique FiedlerInstitute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, 98693 Ilmenau, Germany.ORCID 0000-0001-9196-0717
Levin KuhlmannFaculty of Information Technology, Monash University, Building 63, 25 Exhibition Walk, Clayton, VIC 3800, Australia.
David LileyBrain and Psychological Sciences Research Centre, Swinburne University of Technology, P.O. Box 218, Hawthorn, VIC 3122, Australia.
Beatriz VasconcelosFaculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal.ORCID 0000-0002-1206-3354
Carlos FonsecaFaculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal.ORCID 0000-0002-2759-0384
Gabriella TamburroBIND-Behavioral Imaging and Neural Dynamics Center, University "G. d'Annunzio" of Chieti-Pescara, Via Luigi Polacchi, 11, 66100 Chieti, Italy.ORCID 0000-0002-8706-7966
Silvia ComaniBIND-Behavioral Imaging and Neural Dynamics Center, University "G. d'Annunzio" of Chieti-Pescara, Via Luigi Polacchi, 11, 66100 Chieti, Italy.ORCID 0000-0001-8100-457X
Troby Ka-Yan LuiDepartment of Psychology, University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany.
Chun-Yu TseDepartment of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, China.ORCID 0000-0002-6120-2971
Indhika Fauzhan WarsitoInstitute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, 98693 Ilmenau, Germany.ORCID 0000-0003-0498-9867
Eko SupriyantoIJN-UTM Cardiovascular Engineering Centre, School of Biomedical Engineering & Health Sciences, Universiti Teknologi Malaysia, Johor Bahru 81300, Malaysia.
Jens HaueisenInstitute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, 98693 Ilmenau, Germany.ORCID 0000-0003-3871-2890

Funding

European Union 101007521European Union 813483Free State of Thuringia 2018 IZN 004German Academic Exchange Service 57452734
6 · The paper itself

Abstract

Dry electrodes for electroencephalography (EEG) allow new fields of application, including telemedicine, mobile EEG, emergency EEG, and long-term repetitive measurements for research, neurofeedback, or brain-computer interfaces. Different dry electrode technologies have been proposed and validated in comparison to conventional gel-based electrodes. Most previous studies have been performed at a single center and by single operators. We conducted a multi-center and multi-operator study validating multipin dry electrodes to study the reproducibility and generalizability of their performance in different environments and for different operators. Moreover, we aimed to study the interrelation of operator experience, preparation time, and wearing comfort on the EEG signal quality. EEG acquisitions using dry and gel-based EEG caps were carried out in 6 different countries with 115 volunteers, recording electrode-skin impedances, resting state EEG and evoked activity. The dry cap showed average channel reliability of 81% but higher average impedances than the gel-based cap. However, the dry EEG caps required 62% less preparation time. No statistical differences were observed between the gel-based and dry EEG signal characteristics in all signal metrics. We conclude that the performance of the dry multipin electrodes is highly reproducible, whereas the primary influences on channel reliability and signal quality are operator skill and experience.

Indexed as

Brain-Computer InterfacesElectroencephalographyElectric ImpedanceElectrodesHumansReproducibility of Resultsbrain imagingdry electrodeselectroencephalographyevoked activitymulti-centermulti-operatorresting statevalidation

Identifiers

PMID36298430
PMCPMC9612204

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.