Literature DB >> 22255920

An in-the-ear platform for recording electroencephalogram.

D Looney1, C Park, P Kidmose, M L Rank, M Ungstrup, K Rosenkranz, D P Mandic.   

Abstract

We introduce a novel approach to brain monitoring based on electroencephalogram (EEG) recordings from within the ear canal. While existing clinical and wearable systems are limited in terms of portability and ease of use, 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). It thus facilitates a crucial step towards the design of brain computer interfaces that integrate naturally with daily life. The feasibility of the ITE concept is demonstrated with recordings made from electrodes embedded on an earplug which are benchmarked against conventional scalp electrodes for a classic EEG paradigm.

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Year:  2011        PMID: 22255920     DOI: 10.1109/IEMBS.2011.6091733

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


  10 in total

1.  A CNN-Based Deep Learning Approach for SSVEP Detection Targeting Binaural Ear-EEG.

Authors:  Pasin Israsena; Setha Pan-Ngum
Journal:  Front Comput Neurosci       Date:  2022-05-19       Impact factor: 3.387

2.  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

3.  Comparison between Scalp EEG and Behind-the-Ear EEG for Development of a Wearable Seizure Detection System for Patients with Focal Epilepsy.

Authors:  Ying Gu; Evy Cleeren; Jonathan Dan; Kasper Claes; Wim Van Paesschen; Sabine Van Huffel; Borbála Hunyadi
Journal:  Sensors (Basel)       Date:  2017-12-23       Impact factor: 3.576

4.  A Multifunctional Brain-Computer Interface Intended for Home Use: An Evaluation with Healthy Participants and Potential End Users with Dry and Gel-Based Electrodes.

Authors:  Ivo Käthner; Sebastian Halder; Christoph Hintermüller; Arnau Espinosa; Christoph Guger; Felip Miralles; Eloisa Vargiu; Stefan Dauwalder; Xavier Rafael-Palou; Marc Solà; Jean M Daly; Elaine Armstrong; Suzanne Martin; Andrea Kübler
Journal:  Front Neurosci       Date:  2017-05-22       Impact factor: 4.677

5.  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

6.  Super-Resolution for Improving EEG Spatial Resolution using Deep Convolutional Neural Network-Feasibility Study.

Authors:  Moonyoung Kwon; Sangjun Han; Kiwoong Kim; Sung Chan Jun
Journal:  Sensors (Basel)       Date:  2019-12-03       Impact factor: 3.576

7.  Advancing towards Ubiquitous EEG, Correlation of In-Ear EEG with Forehead EEG.

Authors:  Swati Mandekar; Abigail Holland; Moritz Thielen; Mehdi Behbahani; Mark Melnykowycz
Journal:  Sensors (Basel)       Date:  2022-02-17       Impact factor: 3.576

8.  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

9.  Signal Quality Investigation of a New Wearable Frontal Lobe EEG Device.

Authors:  Zhilin Gao; Xingran Cui; Wang Wan; Zeguang Qin; Zhongze Gu
Journal:  Sensors (Basel)       Date:  2022-02-28       Impact factor: 3.576

10.  Mobile ear-EEG to study auditory attention in everyday life : Auditory attention in everyday life.

Authors:  Daniel Hölle; Joost Meekes; Martin G Bleichner
Journal:  Behav Res Methods       Date:  2021-03-15
  10 in total

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