Literature DB >> 19964231

A NIRS-based brain-computer interface system during motor imagery: system development and online feedback training.

Shin'ichiro Kanoh1, Yu-Mi Murayama, Ko-Ichiro Miyamoto, Tatsuo Yoshinobu, Ryuta Kawashima.   

Abstract

A brain-computer interface (BCI) to detect motor imagery from cerebrum hemodynamic data measured by NIRS (near-infrared spectroscopy) was constructed and the effect of the online feedback training for subjects was evaluated. Concentrations of Oxy- and deOxy-hemoglobin in the motor cortex during motor imagery of subject's right hand was measured by 52-channel NIRS system, and the mean magnitude of measured signal near C3 in the International 10-20 System was visually fed back online to the subject. On two out of three subjects, it was shown that the ratio between the averaged value and the standard deviation over trials (S/N ratio) of Oxy-hemoglobin signal elicited by the imagery of subject's right hand was increased by the 5-day online feedback training. Detailed investigation of the effect of the online feedback training on brain activities was left for further study.

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Year:  2009        PMID: 19964231     DOI: 10.1109/IEMBS.2009.5333710

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


  19 in total

1.  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
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2.  fNIRS exhibits weak tuning to hand movement direction.

Authors:  Stephan Waldert; Laura Tüshaus; Christoph P Kaller; Ad Aertsen; Carsten Mehring
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3.  Testing the potential of a virtual reality neurorehabilitation system during performance of observation, imagery and imitation of motor actions recorded by wireless functional near-infrared spectroscopy (fNIRS).

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Journal:  J Neuroeng Rehabil       Date:  2010-12-02       Impact factor: 4.262

Review 4.  Non-invasive control interfaces for intention detection in active movement-assistive devices.

Authors:  Joan Lobo-Prat; Peter N Kooren; Arno H A Stienen; Just L Herder; Bart F J M Koopman; Peter H Veltink
Journal:  J Neuroeng Rehabil       Date:  2014-12-17       Impact factor: 4.262

5.  Neurofeedback as a nonpharmacological treatment for adults with attention-deficit/hyperactivity disorder (ADHD): study protocol for a randomized controlled trial.

Authors:  Kerstin Mayer; Sarah Nicole Wyckoff; Andreas J Fallgatter; Ann-Christine Ehlis; Ute Strehl
Journal:  Trials       Date:  2015-04-18       Impact factor: 2.279

6.  Cross-brain neurofeedback: scientific concept and experimental platform.

Authors:  Lian Duan; Wei-Jie Liu; Rui-Na Dai; Rui Li; Chun-Ming Lu; Yu-Xia Huang; Chao-Zhe Zhu
Journal:  PLoS One       Date:  2013-05-17       Impact factor: 3.240

7.  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

8.  Use of frontal lobe hemodynamics as reinforcement signals to an adaptive controller.

Authors:  Marcello M DiStasio; Joseph T Francis
Journal:  PLoS One       Date:  2013-07-22       Impact factor: 3.240

9.  Toward a Wireless Open Source Instrument: Functional Near-infrared Spectroscopy in Mobile Neuroergonomics and BCI Applications.

Authors:  Alexander von Lühmann; Christian Herff; Dominic Heger; Tanja Schultz
Journal:  Front Hum Neurosci       Date:  2015-11-12       Impact factor: 3.169

10.  Recognition of Flexion and Extension Imagery Involving the Right and Left Arms Based on Deep Belief Network and Functional Near-Infrared Spectroscopy.

Authors:  Yunfa Fu; Rui Chen; Anmin Gong; Qian Qian; Ning Ding; Wei Zhang; Lei Su; Lei Zhao
Journal:  J Healthc Eng       Date:  2021-06-29       Impact factor: 2.682

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