Dry-Contact Electrode Ear-EEG

@article{Kappel2019DryContactEE,
  title={Dry-Contact Electrode Ear-EEG},
  author={Simon Lind Kappel and Mike Lind Rank and Hans Olaf Toft and Mikael Andersen and Preben Kidmose},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2019},
  volume={66},
  pages={150-158}
}
Objective: Ear-EEG is a recording method in which EEG signals are acquired from electrodes placed on an earpiece inserted into the ear. [...] Key Result Conclusion: The study demonstrated that dry-contact electrode ear-EEG is a feasible technology for EEG recording. Significance: The prototyped dry-contact ear-EEG platform represents an important technological advancement of the method in terms of user-friendliness, because it eliminates the need for gel in the electrode-skin interface.Expand
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54 Citations
Highly Influential Citations
4
Background Citations
14
Methods Citations
8
Results Citations
2

54 Citations

Citation Type

Citation Type

Real-Life Dry-Contact Ear-EEG
  • S. L. Kappel, P. Kidmose
  • Computer Science, Medicine
    2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  • 2018
TLDR
The results demonstrates that electrical brain activity can be recorded from dry-contact electrode ear-EEG in real-life.
A Wireless, Multielectrode, User-generic Ear EEG Recording System
TLDR
A wireless neural recording platform for recording EEG from the ear canal with dry multielectrode, user-generic earpieces, outperforming the state-of-the-art.
Wireless User-Generic Ear EEG
TLDR
This work presents a practical in-ear EEG device based on multiple dry electrodes, a user-generic design, and a lightweight wireless interface for streaming data and device programming, which outperforms the state-of-the-art in dry electrode in- ear EEG systems.
Generic Dry-Contact Ear-EEG
TLDR
A new generic earpiece design with larger internal ear electrode distances is introduced, resulting in an increased spatial coverage compared to previousGeneric dry-contact ear-EEG designs, which attained statistically significant ASSRs with ear-Fpz, within-ear and cross-ear electrode configurations.
Development and Characterization of Ear-EEG for Real-Life Brain-Monitoring
TLDR
The Ph.D. project showed that ear-EEG measurements can be performed in real-life, with dry-contact electrodes, and the brain processes studied, were established with comparable clarity on recordings from temporal lobe scalp and ear electrodes.
Ear-EEG Forward Models: Improved Head-Models for Ear-EEG
TLDR
An extension to existing computational models is presented, by incorporating an improved description of the external ear anatomy based on 3D scanned impressions of the ears, to compute an ear-EEG forward model, which enables mapping of sources in the brain to potentials in the ear.
Highly Porous Platinum Electrodes for Dry Ear-EEG Measurements
TLDR
P porous platinum electrodes could be used to measure the Berger effect in a dry state using just one ear of a test person and their signal-to-noise ratio and the frequency transfer function is comparable to gel-based silver/silver chloride electrodes.
Auditory Steady-State Responses Across Chirp Repetition Rates For Ear-EEG And Scalp EEG
TLDR
In this study, ASSRs were recorded using both scalp and ear-EEG in response to broadband chirp stimuli with repetition rates from 20 to 95 Hz and the results showed that use of relatively high repetition rates may be beneficial in earEEG applications.
Error Correction Regression Framework for Enhancing the Decoding Accuracies of Ear-EEG Brain–Computer Interfaces
TLDR
It is demonstrated that SSVEP BCI based on ear-EEG can achieve reliable performance with the proposed error correction regression (ECR) framework.
Ear‐EEG‐based sleep scoring in epilepsy: A comparison with scalp‐EEG
TLDR
This study is the first to examine the use of ear‐EEG recordings for sleep staging in patients with epilepsy, comparing it with standard recordings from scalp‐EEGs, and it was discovered that sleep stage transition frequency could be contributing to the kappa variation.
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References

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TLDR
Ear-EEG yields similar performance as conventional EEG for spectrogram-based analysis, similar timing of ERP components, and equal signal strength for sources close to the ear, and the auditory mismatch response was difficult to monitor with the ear- EEG.
High-density ear-EEG
  • S. L. Kappel, P. Kidmose
  • Engineering, Medicine
    2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  • 2017
TLDR
High-density ear-EEG can be used to investigate how different cortical sources maps to the ear, and provides a way to select optimal electrode positions for given brain phenomena.
Ear-EEG-Based Objective Hearing Threshold Estimation Evaluated on Normal Hearing Subjects
TLDR
It is demonstrated that hearing threshold levels can be estimated from ear-EEG recordings made from electrodes placed in one ear, thereby allowing hearing assessment to be performed by the hearing instrument on a regular basis.
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TLDR
Ear-EEG was more prone to jaw related artifacts and less prone to eye-blinking artifacts compared to state-of-the-art scalp based systems, and spontaneous activity, in terms of alpha band oscillations, could be recorded from the ear- EEG platform.
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TLDR
The outcomes of this study demonstrate conclusively that the ear-EEG signals, in terms of the signal-to-noise ratio, are on par with conventional EEG recorded from electrodes placed over the temporal region.
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TLDR
An ear-EEG acquisition system with dry-contact active electrodes for future wearable applications with ability to record EEG was reported, and an auditory stead-state response was measured, showing same SNR with wet electrodes and a commercial EEG amplifier.
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TLDR
A small, user friendly, biocompatible electrode with a good appearance for inconspicuous EEG monitoring is developed, which could be used to monitor EEG clinically, in ubiquitous health care and in brain-computer interfaces.
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TLDR
Dry multipin electrodes integrated in a textile EEG cap overcome the principle limitations of wet electrodes, allow rapid application of EEG multichannel caps by non-trained persons, and thus enable new fields of application for multich channel EEG acquisition.
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  • Engineering, Computer Science
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TLDR
The proposed in-the-ear (ITE) recording platform promises a number of advantages including ease of implementation, minimally intrusive electrodes and enhanced accuracy (fixed electrode positions), which facilitates a crucial step towards the design of brain computer interfaces that integrate naturally with daily life.
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TLDR
The results of these experiments show that both dry and noncontact electrodes, with further development, may become a viable tool for both future mobile BCI and general EEG applications.
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