NDLI: Design of the multi-channel electroencephalography-based brain-computer interface with novel dry sensors

Content Provider	IEEE Xplore Digital Library
Author	Shang-Lin Wu Lun-De Liao Chang-Hong Liou Shi-An Chen Li-Wei Ko Bo-Wei Chen Po-Sheng Wang Sheng-Fu Chen Chin-Teng Lin
Copyright Year	2012
Description	Author affiliation: Dept. of Biol. Sci. & Technol., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Li-Wei Ko) \|\| Nat. Health Res. Inst., Miaoli, Taiwan (Sheng-Fu Chen) \|\| Dept. of Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Chin-Teng Lin) \|\| Inst. of Electr. Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Shang-Lin Wu; Chang-Hong Liou; Shi-An Chen; Bo-Wei Chen; Po-Sheng Wang) \|\| Brain Res. Center, Nat. Chiao Tung Univ., Hsinchu, Taiwan (Lun-De Liao)
Abstract	The traditional brain-computer interface (BCI) system measures the electroencephalography (EEG) signals by the wet sensors with the conductive gel and skin preparation processes. To overcome the limitations of traditional BCI system with conventional wet sensors, a wireless and wearable multi-channel EEG-based BCI system is proposed in this study, including the wireless EEG data acquisition device, dry spring-loaded sensors, a size-adjustable soft cap. The dry spring-loaded sensors are made of metal conductors, which can measure the EEG signals without skin preparation and conductive gel. In addition, the proposed system provides a size-adjustable soft cap that can be used to fit user's head properly. Indeed, the results are shown that the proposed system can properly and effectively measure the EEG signals with the developed cap and sensors, even under movement. In words, the developed wireless and wearable BCI system is able to be used in cognitive neuroscience applications.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	1793
Ending Page	1797
File Size	1091772
Page Count	5
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6346298
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Sensor systems Wireless sensor networks Wireless communication Probes Scalp Size-adjustable soft cap Electroencephalography (EEG) Brain-computer interface (BCI) Dry sensor Data acquisition device
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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