Biosensor technologies for augmented brain-computer interfaces in the next decades

Liao, LD; Lin, CT; McDowell, K; Wickenden, AE; Gramann, K; Jung, TP; Ko, LW; Chang, JY

Biosensor technologies for augmented brain-computer interfaces in the next decades

Liao, LD Lin, CT

McDowell, K Wickenden, AE Gramann, K

Jung, TP Ko, LW Chang, JY

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Publication Type:: Journal Article
Citation:: Proceedings of the IEEE, 2012, 100 (SPL CONTENT), pp. 1553 - 1566
Issue Date:: 2012-05-13

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Field	Value	Language
dc.contributor.author	Liao, LD	en_US
dc.contributor.author	Lin, CT https://orcid.org/0000-0001-8371-8197	en_US
dc.contributor.author	McDowell, K	en_US
dc.contributor.author	Wickenden, AE	en_US
dc.contributor.author	Gramann, K https://orcid.org/0000-0003-2673-1832	en_US
dc.contributor.author	Jung, TP	en_US
dc.contributor.author	Ko, LW	en_US
dc.contributor.author	Chang, JY	en_US
dc.date.issued	2012-05-13	en_US
dc.identifier.citation	Proceedings of the IEEE, 2012, 100 (SPL CONTENT), pp. 1553 - 1566	en_US
dc.identifier.issn	0018-9219	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120958
dc.description.abstract	The study of brain-computer interfaces (BCIs) has undergone 30 years of intense development and has grown into a rich and diverse field. BCIs are technologies that enable direct communication between the human brain and external devices. Conventionally, wet electrodes have been employed to obtain unprecedented sensitivity to high-temporal-resolution brain activity; recently, the growing availability of various sensors that can be used to detect high-quality brain signals in a wide range of clinical and everyday environments is being exploited. This development of biosensing neurotechnologies and the desire to implement them in real-world applications have led to the opportunity to develop augmented BCIs (ABCIs) in the upcoming decades. An ABCI is similar to a BCI in that it relies on biosensors that record signals from the brain in everyday environments; the signals are then processed in real time to monitor the behavior of the human. To use an ABCI as a mobile brain imaging technique for everyday, real-life applications, the sensors and the corresponding device must be lightweight and the equipment response time must be short. This study presents an overview of the wide range of biosensor approaches currently being applied to ABCIs, from their use in the laboratory to their application in clinical and everyday use. The basic principles of each technique are described along with examples of current applications of cutting-edge neuroscience research. In summary, we show that ABCI techniques continue to grow and evolve, incorporating new technologies and advances to address ever more complex and important neuroscience issues, with advancements that are envisioned to lead to a wide range of real-life applications. © 2012 IEEE.	en_US
dc.relation.ispartof	Proceedings of the IEEE	en_US
dc.relation.isbasedon	10.1109/JPROC.2012.2184829	en_US
dc.title	Biosensor technologies for augmented brain-computer interfaces in the next decades	en_US
dc.type	Journal Article
utslib.citation.volume	SPL CONTENT	en_US
utslib.citation.volume	100	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0903 Biomedical Engineering	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	SPL CONTENT	en_US
pubs.publication-status	Published	en_US
pubs.volume	100	en_US

Abstract:

The study of brain-computer interfaces (BCIs) has undergone 30 years of intense development and has grown into a rich and diverse field. BCIs are technologies that enable direct communication between the human brain and external devices. Conventionally, wet electrodes have been employed to obtain unprecedented sensitivity to high-temporal-resolution brain activity; recently, the growing availability of various sensors that can be used to detect high-quality brain signals in a wide range of clinical and everyday environments is being exploited. This development of biosensing neurotechnologies and the desire to implement them in real-world applications have led to the opportunity to develop augmented BCIs (ABCIs) in the upcoming decades. An ABCI is similar to a BCI in that it relies on biosensors that record signals from the brain in everyday environments; the signals are then processed in real time to monitor the behavior of the human. To use an ABCI as a mobile brain imaging technique for everyday, real-life applications, the sensors and the corresponding device must be lightweight and the equipment response time must be short. This study presents an overview of the wide range of biosensor approaches currently being applied to ABCIs, from their use in the laboratory to their application in clinical and everyday use. The basic principles of each technique are described along with examples of current applications of cutting-edge neuroscience research. In summary, we show that ABCI techniques continue to grow and evolve, incorporating new technologies and advances to address ever more complex and important neuroscience issues, with advancements that are envisioned to lead to a wide range of real-life applications. © 2012 IEEE.

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http://hdl.handle.net/10453/120958