Literature DB >> 26737936

Comparison of foam-based and spring-loaded dry EEG electrodes with wet electrodes in resting and moving conditions.

Arnold Yeung, Harinath Garudadri, Carolyn Van Toen, Patrick Mercier, Ozgur Balkan, Scott Makeig, Naznin Virji-Babul.   

Abstract

The introduction of dry electrodes for EEG measurements has opened up possibilities of recording EEG outside of standard clinical environments by reducing required preparation and maintenance. However, the signal quality of dry electrodes in comparison with wet electrodes has not yet been evaluated under activities of daily life (ADL) or high motion tasks. In this study, we compared the performances of foam-based and spring-loaded dry electrodes with wet electrodes under three different task conditions: resting state, walking, and cycling. Our analysis showed that signals obtained by the 2 types of dry electrodes and obtained by wet electrodes displayed high correlation for all conditions, while being prone to similar environmental and electrode-based artifacts. Overall, our results suggest that dry electrodes have a similar signal quality in comparison to wet electrodes during motion and may be more practical for use in mobile and real-time motion applications due to their convenience. In addition, we conclude that as with wet electrodes, post-processing can mitigate motion artifacts in ambulatory EEG acquisition.

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Mesh:

Year:  2015        PMID: 26737936      PMCID: PMC5978408          DOI: 10.1109/EMBC.2015.7320036

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  10 in total

1.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

Authors:  Arnaud Delorme; Scott Makeig
Journal:  J Neurosci Methods       Date:  2004-03-15       Impact factor: 2.390

2.  Measuring brain electrical activity to track recovery from sport-related concussion.

Authors:  William B Barr; Leslie S Prichep; Robert Chabot; Matthew R Powell; Michael McCrea
Journal:  Brain Inj       Date:  2011-11-22       Impact factor: 2.311

3.  Removal of movement artifact from high-density EEG recorded during walking and running.

Authors:  Joseph T Gwin; Klaus Gramann; Scott Makeig; Daniel P Ferris
Journal:  J Neurophysiol       Date:  2010-04-21       Impact factor: 2.714

4.  Novel dry polymer foam electrodes for long-term EEG measurement.

Authors:  Chin-Teng Lin; Lun-De Liao; Yu-Hang Liu; I-Jan Wang; Bor-Shyh Lin; Jyh-Yeong Chang
Journal:  IEEE Trans Biomed Eng       Date:  2010-12-30       Impact factor: 4.538

5.  Towards brain first-aid: a diagnostic device for conscious awareness.

Authors:  Ryan C N D'Arcy; Sujoy Ghosh Hajra; Careesa Liu; Lauren D Sculthorpe; Donald F Weaver
Journal:  IEEE Trans Biomed Eng       Date:  2010-11-11       Impact factor: 4.538

Review 6.  EEG applications for sport and performance.

Authors:  Trevor Thompson; Tony Steffert; Tomas Ros; Joseph Leach; John Gruzelier
Journal:  Methods       Date:  2008-08-03       Impact factor: 3.608

7.  Artifact and recording concepts in EEG.

Authors:  William O Tatum; Barbara A Dworetzky; Donald L Schomer
Journal:  J Clin Neurophysiol       Date:  2011-06       Impact factor: 2.177

8.  Bristle-sensors--low-cost flexible passive dry EEG electrodes for neurofeedback and BCI applications.

Authors:  Cristian Grozea; Catalin D Voinescu; Siamac Fazli
Journal:  J Neural Eng       Date:  2011-03-24       Impact factor: 5.379

9.  Methodological aspects of EEG and body dynamics measurements during motion.

Authors:  Pedro M R Reis; Felix Hebenstreit; Florian Gabsteiger; Vinzenz von Tscharner; Matthias Lochmann
Journal:  Front Hum Neurosci       Date:  2014-03-24       Impact factor: 3.169

10.  Design, fabrication and experimental validation of a novel dry-contact sensor for measuring electroencephalography signals without skin preparation.

Authors:  Lun-De Liao; I-Jan Wang; Sheng-Fu Chen; Jyh-Yeong Chang; Chin-Teng Lin
Journal:  Sensors (Basel)       Date:  2011-05-30       Impact factor: 3.576

  10 in total
  3 in total

1.  3D Printed Dry EEG Electrodes.

Authors:  Sammy Krachunov; Alexander J Casson
Journal:  Sensors (Basel)       Date:  2016-10-02       Impact factor: 3.576

2.  Systems, Subjects, Sessions: To What Extent Do These Factors Influence EEG Data?

Authors:  Andrew Melnik; Petr Legkov; Krzysztof Izdebski; Silke M Kärcher; W David Hairston; Daniel P Ferris; Peter König
Journal:  Front Hum Neurosci       Date:  2017-03-30       Impact factor: 3.169

3.  Deployment of Mobile EEG Technology in an Art Museum Setting: Evaluation of Signal Quality and Usability.

Authors:  Jesus G Cruz-Garza; Justin A Brantley; Sho Nakagome; Kimberly Kontson; Murad Megjhani; Dario Robleto; Jose L Contreras-Vidal
Journal:  Front Hum Neurosci       Date:  2017-11-10       Impact factor: 3.169

  3 in total

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