This Special Issueon brainYcomputer interfacing is dedicated to this growing and diversifying research enterprise, and features important review articles as well as some important current examples of research in this area.
Piscataway, NJ (PRWEB) November 05, 2015
To date, most brain-computer interface (BCI) demonstrations have occurred in animals or healthy human users, but there are an increasing number of studies showing that BCI systems can also be used by people with disabilities. The latest issue of Proceedings of the IEEE, the most highly cited general interest journal in electrical engineering and computer science, looks at the growing and diversifying research in this area, including some real-life examples.
This field developed about 25 years ago and has quickly grown in - popularity in the scientific community, the funding agencies and the public. The BCI research for people with disabilities has focused primarily on communication and control applications, but new research aims to evaluate BCI techniques in the context of brain rehabilitation.
Under the guidance of guest editors, Gernot Müller-Putz, José Del R. Millán, Gerwin Schalk and Klaus-Robert Müller, this issue looks at new advanced signal and machine learning methods, the use of hybrid BCIs (hBCIs) for people with disabilities in the context of communication, control of a neuroprosthesis and remote-controlled robot, as well as the application of BCI technology to brain rehabilitation in people with chronic stroke.
Some of the papers in this issue of Proceedings of the IEEE are as follows:
“Noninvasive Brain-Computer Interfaces Based on Sensorimotor Rhythms” He et al. There are different principles and approaches to developing a sensorimotor rhythm-based BCI. This paper explores methods such as developing BCI systems to incorporate the control of physical devices to increase user engagement, improving BCI systems by inversely mapping scalp-recorded electroencephalogram (EEG) signals to certain parts of the brain, and incorporating mind-body awareness training to enhance BCI learning and performance.
“Brain–Computer Interface for Neurorehabilitation of Upper Limb After Stroke” Ang and Guan. Two strategies of using BCI for brain rehabilitation after a stroke are reviewed in this paper. This paper looks at detecting imagined movements to trigger a feedback, and detecting a with a robot to provide concomitant motor imagery and proprioceptive feedback. The authors conducted three randomized control trials using these two strategies for upper limb rehabilitation.
“Towards Independence: A BCI Telepresence Robot for People With Severe Motor Disabilities” Leeb et al. People with severe motor disabilities may achieve greater independence with BCIs. This paper introduces the concept of shared control, which interprets the user commands in context. Shared control lets users perform complex tasks and the paper shows users successfully completed navigation tasks with a remote-controlled (telepresence) robot.
To learn about all of these concepts, or see the list of upcoming issues, visit the Proceedings of the IEEE website.
About the Proceedings of the IEEE
Founded in 1912 and first published in early 1913, (originally as Proceedings of the IRE), Proceedings of the IEEE is the most highly cited general interest journal in electrical engineering and computer science. This journal provides the most in-depth tutorial and review coverage of the technical developments that shape our world, enlisting the help of guest editors and authors from the best research facilities, leading edge corporations and universities around the world. For more information on Proceedings of the IEEE and the latest ideas and innovative technologies, visit http://www.ieee.org/proceedings.
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