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In-Ear EEG From Viscoelastic Generic Earpieces: Robust and Unobtrusive 24/7 Monitoring

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Title: In-Ear EEG From Viscoelastic Generic Earpieces: Robust and Unobtrusive 24/7 Monitoring
Authors: Goverdovsky, V
Looney, D
Kidmose, P
Mandic, DP
Item Type: Journal Article
Abstract: 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 from the ear canal. Unlike our initial designs, which utilize custom earpieces and require a costly and time-consuming manufacturing process, we here introduce the generic earpieces to make ear-EEG suitable for immediate and widespread use. Our approach represents a departure from silicone earmoulds to provide a sensor based on a viscoelastic substrate and conductive cloth electrodes, both of which are shown to possess a number of desirable mechanical and electrical properties. Owing to its viscoelastic nature, such an earpiece exhibits good conformance to the shape of the ear canal, thus providing stable electrode–skin interface, while cloth electrodes require only saline solution to establish low impedance contact. The analysis highlights the distinguishing advantages compared with the current state-of-the-art in ear-EEG. We demonstrate that such a device can be readily used for the measurement of various EEG responses.
Issue Date: 21-Aug-2015
Date of Acceptance: 19-Aug-2015
URI: http://hdl.handle.net/10044/1/43182
DOI: https://dx.doi.org/10.1109/JSEN.2015.2471183
ISSN: 1558-1748
Publisher: IEEE
Start Page: 271
End Page: 277
Journal / Book Title: IEEE Sensors Journal
Volume: 16
Issue: 1
Copyright Statement: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Science & Technology
Technology
Physical Sciences
Engineering, Electrical & Electronic
Instruments & Instrumentation
Physics, Applied
Engineering
Physics
Electroencephalography
wearable sensors
biomedical engineering
materials
WEARABLE HEALTH
POTENTIALS
Analytical Chemistry
0906 Electrical And Electronic Engineering
0913 Mechanical Engineering
Publication Status: Published
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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