NDLI: Brain-Computer Interfacing [In the Spotlight]

Content Provider	IEEE Xplore Digital Library
Author	Rao, R. Scherer, R.
Copyright Year	1991
Description	Recently, CNN reported on the future of brain-computer interfaces (BCIs). BCIs are devices that process a user's brain signals to allow direct communication and interaction with the environment. BCIs bypass the normal neuromuscular output pathways and rely on digital signal processing and machine learning to translate brain signals to action (Figure 1). Historically, BCIs were developed with biomedical applications in mind, such as restoring communication in completely paralyzed individuals and replacing lost motor function. More recent applications have targeted nondisabled individuals by exploring the use of BCIs as a novel input device for entertainment and gaming. The task of the BCI is to identify and predict behaviorally induced changes or "cognitive states" in a user's brain signals. Brain signals are recorded either noninvasively from electrodes placed on the scalp [electroencephalogram (EEG)] or invasively from electrodes placed on the surface of or inside the brain. BCIs based on these recording techniques have allowed healthy and disabled individuals to control a variety of devices. In this article, we will describe different challenges and proposed solutions for noninvasive brain-computer interfacing.
File Size	1272262
Starting Page	152
Ending Page	150
File Format	PDF
ISSN	10535888
Volume Number	27
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing Electrodes Cellular neural networks Brain computer interfaces Neuromuscular Digital signal processing Machine learning Signal restoration Scalp Electroencephalography
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Signal Processing 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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Toward noninvasive brain-computer interfaces

Spatiotemporal Linear Decoding of Brain State

Hemodynamics for Brain-Computer Interfaces

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Minimal Invasive Headband for Brain Computer Interfacing and Analysis

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Composite Common Spatial Pattern for Subject-to-Subject Transfer

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Brain-Computer Interfacing [In the Spotlight]

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Toward noninvasive brain-computer interfaces

Spatiotemporal Linear Decoding of Brain State

Hemodynamics for Brain-Computer Interfaces

Neural network classification of spatio-temporal EEG readiness potentials

Minimal Invasive Headband for Brain Computer Interfacing and Analysis

Evolving Signal Processing for Brain–Computer Interfaces

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Brain-Computer Interfacing [In the Spotlight]