Literature DB >> 30441575

Real-Life Dry-Contact Ear-EEG.

Simon L Kappel, Preben Kidmose.   

Abstract

Our brain state is affected by and adapted to our surroundings. Therefore, to study natural states of the brain, it is desirable to measure brain responses in natural environments outside the lab. Among functional brain scanning methods, electroencephalography (EEG) is the most promising method for non-invasive brain monitoring in real-life environments. To enable long-term recordings in real-life, EEG devices must be wearable, user-friendly, and discreet. Ear-EEG is a method where EEG signals are recorded from electrodes placed on an earpiece inserted into the ear. The compact and discreet nature of an ear-EEG device makes it suitable for long-term real-life recordings. In this study, 6 subjects were recorded with conventional scalp EEG and ear-EEG. All recordings were performed with the same instrumentation and paradigms in both a lab setting and a real-life setting. The ear-EEG recordings were performed with a previously developed drycontact ear-EEG platform. Signals from the scalp electrodes and ear-electrodes were recorded by the same biosignal recorder, enabling re-referencing in the post-processing and analysis. The study comprised four paradigms: auditory steady-state response (ASSR), steady-state visual evoked potential (SSVEP), auditory onset response, and alpha band modulation. When the data were analyzed with a scalp reference (Cz), all the investigated responses were statistically significant in recordings from both settings. Statistically significant ASSR and SSVEP were measured in the lab by ear-electrodes referenced to an electrode within the same ear. In real-life, only the ASSR was statistically significant for a reference within the same ear. The results demonstrates that electrical brain activity can be recorded from dry-contact electrode ear-EEG in real-life.

Mesh:

Year:  2018        PMID: 30441575     DOI: 10.1109/EMBC.2018.8513532

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  3 in total

1.  Comparing In-ear EOG for Eye-Movement Estimation With Eye-Tracking: Accuracy, Calibration, and Speech Comprehension.

Authors:  Martin A Skoglund; Martin Andersen; Martha M Shiell; Gitte Keidser; Mike Lind Rank; Sergi Rotger-Griful
Journal:  Front Neurosci       Date:  2022-06-30       Impact factor: 5.152

Review 2.  Miniaturization for wearable EEG systems: recording hardware and data processing.

Authors:  Minjae Kim; Seungjae Yoo; Chul Kim
Journal:  Biomed Eng Lett       Date:  2022-06-06

3.  Absolute Eye Gaze Estimation With Biosensors in Hearing Aids.

Authors:  Antoine Favre-Félix; Carina Graversen; Tanveer A Bhuiyan; Martin A Skoglund; Sergi Rotger-Griful; Mike Lind Rank; Torsten Dau; Thomas Lunner
Journal:  Front Neurosci       Date:  2019-12-05       Impact factor: 4.677

  3 in total

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