NDLI: Rehabilitation with Brain-Computer Interface Systems

Content Provider	IEEE Xplore Digital Library
Author	Pfurtscheller, G. Muller-Putz, G.R. Scherer, R. Neuper, C.
Copyright Year	1970
Abstract	BCI systems let users convert thoughts into actions that do not involve voluntary muscle movement. The systems offer a new means of communication for those with paralysis or severe neuromuscular disorders. BCI technology is a relatively new, fast-growing field of research and applications with the potential to improve the quality of life in severely disabled people. To date, several BCI prototypes exist, but most work only in a laboratory environment. Before a BCI can be used for communication and control at home, research must solve several problems. An important next step is to establish protocols for easily setting up and using BCI systems in a practical environment. Many features, such as electrode positions and frequency components, must be automatically selectable for particular motor imagery. The system must use the fewest number of recording electrodes possible, striving for the optimal single EEG channel. Finally, training time must decrease, perhaps through game-like feedback and automatic detection of artifacts, such as uncontrolled muscle activity. With these improvements, which are on the horizon, we expect to see practical BCI systems for a wide range of users and applications.
Sponsorship	IEEE Computer Society
File Size	1604388
File Format	PDF
ISSN	00189162
Volume Number	41
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brain computer interfaces Muscles Electrodes Neuromuscular Prototypes Automatic control Communication system control Protocols Frequency Electroencephalography prosthetic devices brain-computer interfaces rehabilitation engineering
Content Type	Text
Resource Type	Article
Subject	Computer Science

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

Brain-Computer Interface Operation of Robotic and Prosthetic Devices

Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects

On the building of binary spelling interfaces for augmentative communication

Asynchronous P300-Based Brain--Computer Interfaces: A Computational Approach With Statistical Models

Visual spatial attention control in an independent brain-computer interface

An SSVEP-Based Brain–Computer Interface for the Control of Functional Electrical Stimulation

VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier]

A $mu $-Rhythm Matched Filter for Continuous Control of a Brain-Computer Interface

Toward a direct brain interface based on human subdural recordings and wavelet-packet analysis

Rehabilitation with Brain-Computer Interface Systems

Similar Documents

Brain-Computer Interface Operation of Robotic and Prosthetic Devices

Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects

On the building of binary spelling interfaces for augmentative communication

Asynchronous P300-Based Brain--Computer Interfaces: A Computational Approach With Statistical Models

Visual spatial attention control in an independent brain-computer interface

An SSVEP-Based Brain–Computer Interface for the Control of Functional Electrical Stimulation

VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier]

A $mu $-Rhythm Matched Filter for Continuous Control of a Brain-Computer Interface

Toward a direct brain interface based on human subdural recordings and wavelet-packet analysis

Rehabilitation with Brain-Computer Interface Systems