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A Protocol for Comparing Dry and Wet EEG Electrodes During Sleep.

Sven Leach1, Ku-Young Chung2, Laura Tüshaus2

  • 1Child Development Center and Pediatric Sleep Disorders Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland.

Frontiers in Neuroscience
|July 7, 2020
PubMed
Summary

Novel dry electrodes show comparable performance to traditional gelled electrodes for sleep EEG, despite increased sweat artifacts. This validates a new protocol for assessing wearable sleep technology in home environments.

Keywords:
dry electrodesmobile EEGnatural settingssignal qualitysleep slow wavessleep spindlessleep stagingtesting protocol

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Sleep Medicine

Background:

  • Sleep assessment traditionally relies on electroencephalogram (EEG) in lab settings, which is inconvenient.
  • Development of user-friendly, mobile devices for sleep EEG recording is highly desirable.
  • Flat-type dry electrodes offer a reusable, low-cost, and easily applicable solution for mobile sleep monitoring.

Purpose of the Study:

  • To develop and validate a testing protocol for novel flat-type dry electrodes.
  • To assess the performance of dry electrodes for sleep EEG recordings in free-living (at-home) conditions.
  • To compare dry electrodes against traditional pre-gelled electrodes for sleep monitoring.

Main Methods:

  • Overnight sleep EEG, electrooculogram, and electromyogram were recorded in four healthy participants at home.
  • Two ambulatory devices simultaneously recorded sleep EEG using novel flat-type dry electrodes and self-adhesive pre-gelled electrodes.
  • Comparison included signal quality, artifact incidence, sleep staging accuracy (sensitivity, specificity, Cohen's kappa), and EEG microstructure features (slow waves, sleep spindles).

Main Results:

  • The testing protocol effectively compared electrode types on macro- and microstructure sleep levels.
  • Both dry and pre-gelled electrodes demonstrated comparable signal quality, enabling feasible sleep staging.
  • Similarities were observed in slow-wave and sleep spindle characteristics, though dry electrodes showed higher prevalence of sweat artifacts.

Conclusions:

  • A reliable testing protocol allows objective assessment and comparison of dry electrodes against reference technologies.
  • Flat-type dry electrodes show promise for user-friendly, at-home sleep EEG monitoring.
  • Further refinement may be needed to mitigate sweat artifacts in dry electrode technology for sleep studies.