Ear-EEG from generic earpieces: A feasibility study

@article{Kidmose2013EarEEGFG,
  title={Ear-EEG from generic earpieces: A feasibility study},
  author={Preben Kidmose and David Looney and L. Jochumsen and Danilo P. Mandic},
  journal={2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2013},
  pages={543-546}
}
  • P. Kidmose, D. Looney, +1 author D. Mandic
  • Published 3 July 2013
  • Engineering, Computer Science, Medicine
  • 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
The use of brain monitoring based on EEG, in natural environments and over long time periods, is hindered by the limited portability of current wearable systems, and the invasiveness of implanted systems. [...] Key Result Its feasibility is validated in a comprehensive comparative study with our established prototype, based on a personalized earpiece, for a key EEG paradigm.Expand
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26 Citations
Highly Influential Citations
1
Background Citations
15
Methods Citations
4
Results Citations
2

26 Citations

Citation Type

Citation Type

Development of Low-Cost in-the-Ear EEG Prototype
TLDR
The in-the-ear prototype in this study was built from earphone rubber as an earpiece and silver-adhesive fabric as electrodes, which cost 3 dollar per piece and impedance measurement is comparable to those of commercial electrodes.
Ear-EEG: User-Centered and Wearable BCI
TLDR
It is shown that Ear-EEG bitrate performances are comparable with those of on-scalp electrodes, thus promising a quantum step forward for wearable BCI.
In-Ear EEG From Viscoelastic Generic Earpieces: Robust and Unobtrusive 24/7 Monitoring
We introduce a novel in-ear sensor which satisfies key design requirements for wearable electroencephalography (EEG)-it is discreet, unobtrusive, and capable of capturing high-quality brain activity…
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.
Wearable ear EEG for brain interfacing
TLDR
In this work, an ear-EEG device is created with a novel system for artifact removal and signal interpretation and is demonstrated against existing consumer electronics in this space for its signal quality, comfort, and usability.
Wearable in-ear electroencephalography for real world applications : sleep monitoring and person authentication
TLDR
A readily deployable EEG biometrics system based on in-ear EEG is proposed, that is user-friendly and discreet in nature and does not require supervision by skilled personnel or the use of cumbersome equipment.
Effects of Different Re-referencing Methods on Spontaneously Generated Ear-EEG
TLDR
Overall patterns of changes in alpha power and ERD/ERS were similar among the five re-referencing methods, but the contralateral-mean method showed statistically higher SNRs than did the other methods for both ear-EEG datasets, except in the contRALateral-bipolar method for the two mental tasks.
Classifying mental gestures with in-ear EEG
TLDR
This paper investigates the efficacy of a support vector classifier (SVC) in distinguishing between mental tasks, or gestures, recorded by a modified, consumer headset, and finds that an SVC reaches acceptable BCI accuracy for nine of the subjects in the authors' pool, and distinguishes at least one pair of gestures better than chance for all subjects.
EEG Recorded from the Ear: Characterizing the Ear-EEG Method
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.
Wearable In-Ear Encephalography Sensor for Monitoring Sleep. Preliminary Observations from Nap Studies.
TLDR
Substantial agreement was observed between recordings derived from a new ear-EEG sensor and conventional scalp electrodes on four healthy volunteers during daytime naps, and the agreement between scalp- and ear-recordings was assessed.
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