Literature DB >> 20204836

Development of a new rehabilitation system based on a brain-computer interface using near-infrared spectroscopy.

Takafumi Nagaoka1, Kaoru Sakatani, Takayuki Awano, Noriaki Yokose, Tatsuya Hoshino, Yoshihiro Murata, Yoichi Katayama, Akihiro Ishikawa, Hideo Eda.   

Abstract

We describe the set-up for an electrical muscle stimulation device based on near-infrared spectroscopy (NIRS), designed for use as a brain-computer interface (BCI). Employing multi-channel NIRS, we measured evoked cerebral blood oxygenation (CBO) responses during real motor tasks and motor-imagery tasks. When a supra-threshold increase in oxyhemoglobin concentration was detected, electrical stimulation (50 Hz) of the biceps brachii muscle was applied to the side contralateral to the hand grasping task or ipsilateral to the motor-imagery task. We observed relatively stable and reproducible CBO responses during real motor tasks with an average accuracy of 100%, and during motor imagery tasks with an average accuracy of 61.5%. Flexion movement of the arm was evoked in all volunteers in association with electrical muscle stimulation and no adverse effects were noted. These findings suggest that application of the electrical muscle stimulation system based on a NIRS-BCI is non-invasive and safe, and may be useful for the physical training of disabled patients.

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Year:  2010        PMID: 20204836     DOI: 10.1007/978-1-4419-1241-1_72

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  5 in total

1.  Prediction of specific hand movements using electroencephalographic signals.

Authors:  Cesar Marquez-Chin; Kathryn Atwell; Milos R Popovic
Journal:  J Spinal Cord Med       Date:  2017-09-07       Impact factor: 1.985

Review 2.  fNIRS-based brain-computer interfaces: a review.

Authors:  Noman Naseer; Keum-Shik Hong
Journal:  Front Hum Neurosci       Date:  2015-01-28       Impact factor: 3.169

3.  Near-infrared spectroscopy (NIRS)-based eyes-closed brain-computer interface (BCI) using prefrontal cortex activation due to mental arithmetic.

Authors:  Jaeyoung Shin; Klaus-R Müller; Han-Jeong Hwang
Journal:  Sci Rep       Date:  2016-11-08       Impact factor: 4.379

4.  Evaluation of a Compact Hybrid Brain-Computer Interface System.

Authors:  Jaeyoung Shin; Klaus-Robert Müller; Christoph H Schmitz; Do-Won Kim; Han-Jeong Hwang
Journal:  Biomed Res Int       Date:  2017-03-08       Impact factor: 3.411

Review 5.  Shining a Light on Awareness: A Review of Functional Near-Infrared Spectroscopy for Prolonged Disorders of Consciousness.

Authors:  Mohammed Rupawala; Hamid Dehghani; Samuel J E Lucas; Peter Tino; Damian Cruse
Journal:  Front Neurol       Date:  2018-05-22       Impact factor: 4.003

  5 in total

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