Literature DB >> 23365960

Auditory evoked responses from Ear-EEG recordings.

P Kidmose1, D Looney, D P Mandic.   

Abstract

A method for brain monitoring based on measuring electroencephalographic (EEG) signals from electrodes placed in-the-ear (Ear-EEG) was recently proposed. The Ear-EEG recording methodology provides a non-invasive, discreet and unobtrusive way of measuring electrical brain signals and has great potential as an enabling method for brain monitoring in everyday life. This work aims at further establishing the Ear-EEG recording methodology by considering auditory evoked potentials, and by comparing Ear-EEG responses with conventional on-scalp recordings and with well established results from the literature. It is shown that both steady state and transient responses can be obtained from Ear-EEG, and that these responses have similar characteristics and quality compared to EEG obtained from conventional on-scalp recordings.

Mesh:

Year:  2012        PMID: 23365960     DOI: 10.1109/EMBC.2012.6345999

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


  10 in total

1.  Exploring miniaturized EEG electrodes for brain-computer interfaces. An EEG you do not see?

Authors:  Martin G Bleichner; Micha Lundbeck; Matthias Selisky; Falk Minow; Manuela Jäger; Reiner Emkes; Stefan Debener; Maarten De Vos
Journal:  Physiol Rep       Date:  2015-04

2.  On the Keyhole Hypothesis: High Mutual Information between Ear and Scalp EEG.

Authors:  Kaare B Mikkelsen; Preben Kidmose; Lars K Hansen
Journal:  Front Hum Neurosci       Date:  2017-06-30       Impact factor: 3.169

3.  On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface.

Authors:  Soo-In Choi; Chang-Hee Han; Ga-Young Choi; Jaeyoung Shin; Kwang Soup Song; Chang-Hwan Im; Han-Jeong Hwang
Journal:  Sensors (Basel)       Date:  2018-08-29       Impact factor: 3.576

4.  Effects of Different Re-referencing Methods on Spontaneously Generated Ear-EEG.

Authors:  Soo-In Choi; Han-Jeong Hwang
Journal:  Front Neurosci       Date:  2019-08-07       Impact factor: 4.677

5.  Evaluation of Real-Time Endogenous Brain-Computer Interface Developed Using Ear-Electroencephalography.

Authors:  Soo-In Choi; Ji-Yoon Lee; Ki Moo Lim; Han-Jeong Hwang
Journal:  Front Neurosci       Date:  2022-03-24       Impact factor: 4.677

6.  Synchronization of ear-EEG and audio streams in a portable research hearing device.

Authors:  Steffen Dasenbrock; Sarah Blum; Paul Maanen; Stefan Debener; Volker Hohmann; Hendrik Kayser
Journal:  Front Neurosci       Date:  2022-09-01       Impact factor: 5.152

7.  Unobtrusive ambulatory EEG using a smartphone and flexible printed electrodes around the ear.

Authors:  Stefan Debener; Reiner Emkes; Maarten De Vos; Martin Bleichner
Journal:  Sci Rep       Date:  2015-11-17       Impact factor: 4.379

8.  EEG Recorded from the Ear: Characterizing the Ear-EEG Method.

Authors:  Kaare B Mikkelsen; Simon L Kappel; Danilo P Mandic; Preben Kidmose
Journal:  Front Neurosci       Date:  2015-11-18       Impact factor: 4.677

9.  Automatic sleep staging using ear-EEG.

Authors:  Kaare B Mikkelsen; David Bové Villadsen; Marit Otto; Preben Kidmose
Journal:  Biomed Eng Online       Date:  2017-09-19       Impact factor: 2.819

10.  The Sensitivity of Ear-EEG: Evaluating the Source-Sensor Relationship Using Forward Modeling.

Authors:  Arnd Meiser; Francois Tadel; Stefan Debener; Martin G Bleichner
Journal:  Brain Topogr       Date:  2020-08-24       Impact factor: 3.020

  10 in total

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