Literature DB >> 18003213

Development of an optical brain-machine interface.

Kei Utsugi1, Akiko Obata, Hiroki Sato, Takusige Katsura, Kazuhiko Sagara, Atsushi Maki, Hideaki Koizumi.   

Abstract

We have developed a brain-machine interface (BMI) by using a method based on near-infrared spectroscopy. We call our interface "Optical-BMI". It functions as a practical, unrestrictive, non-invasive brain-switch without the need for large equipment. During an experiment with the prototype system, an operator manipulated external electrically controlled equipment while we measured the corresponding spatiotemporal changes in the hemoglobin concentration in the blood flowing through his or her pre-frontal cortex by using a probe cap with 22 measurement points.

Mesh:

Year:  2007        PMID: 18003213     DOI: 10.1109/IEMBS.2007.4353547

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  11 in total

1.  Complementary activation of the ipsilateral primary motor cortex during a sustained handgrip task.

Authors:  Kenichi Shibuya; Naomi Kuboyama; Seigo Yamada
Journal:  Eur J Appl Physiol       Date:  2015-09-16       Impact factor: 3.078

2.  Online binary decision decoding using functional near-infrared spectroscopy for the development of brain-computer interface.

Authors:  Noman Naseer; Melissa Jiyoun Hong; Keum-Shik Hong
Journal:  Exp Brain Res       Date:  2013-11-21       Impact factor: 1.972

3.  Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics.

Authors:  Xu Cui; Signe Bray; Allan L Reiss
Journal:  Neuroimage       Date:  2009-11-26       Impact factor: 6.556

4.  Usability and performance-informed selection of personalized mental tasks for an online near-infrared spectroscopy brain-computer interface.

Authors:  Sabine Weyand; Larissa Schudlo; Kaori Takehara-Nishiuchi; Tom Chau
Journal:  Neurophotonics       Date:  2015-05-12       Impact factor: 3.593

5.  Neuroengineering tools/applications for bidirectional interfaces, brain-computer interfaces, and neuroprosthetic implants - a review of recent progress.

Authors:  Ryan Mark Rothschild
Journal:  Front Neuroeng       Date:  2010-10-15

6.  Speeded near infrared spectroscopy (NIRS) response detection.

Authors:  Xu Cui; Signe Bray; Allan L Reiss
Journal:  PLoS One       Date:  2010-11-11       Impact factor: 3.240

7.  Automatic single-trial discrimination of mental arithmetic, mental singing and the no-control state from prefrontal activity: toward a three-state NIRS-BCI.

Authors:  Sarah D Power; Azadeh Kushki; Tom Chau
Journal:  BMC Res Notes       Date:  2012-03-13

8.  Real-time state estimation in a flight simulator using fNIRS.

Authors:  Thibault Gateau; Gautier Durantin; Francois Lancelot; Sebastien Scannella; Frederic Dehais
Journal:  PLoS One       Date:  2015-03-27       Impact factor: 3.240

9.  Correlates of Near-Infrared Spectroscopy Brain-Computer Interface Accuracy in a Multi-Class Personalization Framework.

Authors:  Sabine Weyand; Tom Chau
Journal:  Front Hum Neurosci       Date:  2015-09-30       Impact factor: 3.169

10.  Detection of motor execution using a hybrid fNIRS-biosignal BCI: a feasibility study.

Authors:  Raphael Zimmermann; Laura Marchal-Crespo; Janis Edelmann; Olivier Lambercy; Marie-Christine Fluet; Robert Riener; Martin Wolf; Roger Gassert
Journal:  J Neuroeng Rehabil       Date:  2013-01-21       Impact factor: 4.262

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