NDLI: Wearable in-the-ear EEG system for SSVEP-based brain

Content Provider	IET Digital Library
Author	Ahn, J. W. Ku, Y. Kim, D. Y. Sohn, J. Kim, J. H. Kim, H. C.
Abstract	Steady-state visual evoked potential (SSVEP) has been widely used in electroencephalogram (EEG)-based brain–computer interfaces (BCIs) due to its high information transfer rate (ITR) and short training time. Current methods usually measure SSVEP from electrodes on the scalp, which is an uncomfortable and time-consuming method. Furthermore, most research relies on expensive and non-portable EEG devices. To utilise BCIs in daily life, however, these are critical issues to address. Hence, a wearable EEG device for in-ear SSVEP detection is proposed. The system is 40 × 21 × 10.5 mm3 and weighs 14.2 g, thus being light weight and wearable. Moreover, the system has a noise level of 0.11 µVrms, which is comparable with commercial EEG systems. Six subjects participated in an offline BCI experiment that consisted of six visual targets using the developed in-the-ear EEG system. The results showed a highest ITR of 11.03 ± 4.18 bits/min with an accuracy of 79.9 ± 13.1%, and the experiments demonstrated that the system can be utilised for unobtrusive monitoring of SSVEP in BCI applications.
Starting Page	413
Ending Page	414
Page Count	2
ISSN	00135194
Volume Number	54
e-ISSN	1350911X
Issue Number	Issue 7, Apr (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/54/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2017.3970
Journal	Electronics Letters
Publisher Date	2018-02-23
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Auditory Effects of Noise BCI Application Bioelectric Signal Biology And Medical Computing Biomedical Electrodes Body Sensor Network Brain-computer Interfaces Digital Signal Processing Ear Electrical Activity in Neurophysiological Processes Electrode Electrodiagnostics And Other Electrical Measurement Technique Electroencephalogram-based Brain-computer Interfaces Electroencephalography High Information Transfer Rate Medical Signal Processing Nerve Structure And Function Noise Level Offline BCI Experiment Patient Monitoring Physiology of The Eye Sensing Device And Transducers Short Training Time Signal Denoising Signal Processing And Detection SSVEP-based Brain-computer Interface Steady-state Visual Evoked Potential Unobtrusive Monitoring User InterFace Visual Evoked Potential Visual Targets Wearable In-the-ear EEG System Wireless Sensor Network
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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