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Relevant bibliographies by topics / Brain Machine Interface

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Journal articles

Academic literature on the topic 'Brain Machine Interface'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 June 2025

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Journal articles on the topic "Brain Machine Interface"

1

Sasne, Ajinkya, Ashutosh Banait, Apurva Raut, and Vishal Raut. "Brain Machine Interface." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 3641–42. http://dx.doi.org/10.22214/ijraset.2022.43218.

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Abstract— Brain Machine Interface is also known as ‘A brain-computer inteface’.A brain-computer interface (BCI), sometimes called a direct neural interface or a brain-machine interface, is a direct communication pathway between a human or animal brain and an external device. In one-way BCIs, computers either accept commands from the brain or send signals to it (for example, to restore vision) but not both. Two-way BCIs would allow brains and external devices to exchange information in both directions but have yet to be successfully implanted in animals or humans. In this definition, the word brain means the brain or nervous system of an organic life form rather than the mind. Computer means any processing or computational device, from simple circuits to silicon chips. Research on BCIs began in the 1970s, but it wasn't until the mid1990s that the first working experimental implants in humans appeared. Following years of animal experimentation, early working implants in humans now exist, designed to restore damaged hearing, sight and movement. With recent advances in technology and knowledge, pioneering researchers could now conceivably attempt to produce BCIs that augment human functions rather than simply restoring them, previously only a possibility in science fiction.

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2

Kamalakannan, R., and N. Ravi Kumar. "Brain Machine Interface." International Journal of Advanced Scientific Technologies in Engineering and Management Sciences 2, no. 12 (2016): 1. http://dx.doi.org/10.22413/ijastems/2016/v2/i12/41279.

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3

Nair, P. "Brain-machine interface." Proceedings of the National Academy of Sciences 110, no. 46 (2013): 18343. http://dx.doi.org/10.1073/pnas.1319310110.

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4

Galiautdinov, Rinat. "Brain Machine Interface." International Journal of Applied Research in Bioinformatics 10, no. 1 (2020): 26–36. http://dx.doi.org/10.4018/ijarb.2020010102.

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The main purpose of the article is to provide the solution which allows the muscles to work in a situation when neural connection is corrupted either due to illness or injury, which usually causes paralysis. The research is on the interpretation of the brain signals based on the analysis of neurotransmitters and the transformation of this analysis into the electric signals effecting on the muscle in the situation when neural circuit between a sensor/inter neuron and a motor neuron is broken. This method would allow paralyzed people to move their limbs and potentially to walk.

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5

Sanchez, Justin C., and José C. Principe. "Brain–Machine Interface Engineering." Synthesis Lectures on Biomedical Engineering 2, no. 1 (2007): 1–234. http://dx.doi.org/10.2200/s00053ed1v01y200710bme017.

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6

Trajkovic, Ljiljana. "Brain-Machine Interface Systems." IEEE Systems, Man, and Cybernetics Magazine 6, no. 3 (2020): 4–8. http://dx.doi.org/10.1109/msmc.2020.2995186.

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7

Yin, Jing Hai, Zheng Dong Mu, and Jian Feng Hu. "The Application of BCI Technology in Android RPG Game." Applied Mechanics and Materials 496-500 (January 2014): 2015–18. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.2015.

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To enhance human interaction with machines, research interest is growing to develop a Brain-Computer Interface (BCI), which allows communication of a human with a machine only by use of brain signals. In this paper, one type of android RPG game was designed for application of brain computer interfaces.

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8

Patel, Prachi. "The Brain-Machine Interface, Unplugged." IEEE Spectrum 46, no. 10 (2009): 13–14. http://dx.doi.org/10.1109/mspec.2009.5267979.

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9

Shanechi, Maryam M. "Brain–Machine Interface Control Algorithms." IEEE Transactions on Neural Systems and Rehabilitation Engineering 25, no. 10 (2017): 1725–34. http://dx.doi.org/10.1109/tnsre.2016.2639501.

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10

Shindo, Keiichiro, Junichi Ushiba, and Meigen Liu. "Neurorehabilitation with brain–machine interface." Neuroscience Research 68 (January 2010): e45. http://dx.doi.org/10.1016/j.neures.2010.07.444.

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