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Brainwave assistive system for paralyzed individuals
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Authors: Md Ahnaf Shariar, Syeda Maliha Monowara, Md. Shafayat Ul Islam, Muhammed Junaid Noor Jawad, Saifur Rahman Sabuj
Status: Final
Date of publication: 15 July 2021
Published in: ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 3 - Internet of Bio-Nano Things for health applications, Pages 79-89
Article DOI : https://doi.org/10.52953/IBJP6517
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 | Abstract:
The Brain-Computer Interface (BCI) is a system based on brainwaves that can be used to translate and comprehend the innumerable activities of the brain. Brainwave refers to the bioelectric impulses invariably produced in the human brain during neurotransmission, often measured as the action potential. Moreover, BCI essentially uses the widely studied Electroencephalography (EEG) technique to capture brainwave data. Paralysis generally occurs when there is a disturbance in the central nervous system prompted by a neurodegenerative or unforeseen event. To overcome the obstacles associated with paralysis, this paper on the brainwave-assistive system is based on the BCI incorporated with Internet-of-things. BCI can be implemented to achieve control over external devices and applications. For instance, the process of cursor control, motor control, neuroprosthetics and wheelchair control, etc. In this paper, the OpenBCI Cyton-biosensing board has been used for the collection of the EEG data. The accumulated EEG data is executed subsequently to obtain control over the respective systems in real-time. Hence, it can be concluded that the experiments of the paper support the idea of controlling an interfaced system through the real-time application of EEG data. |
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Keywords: Action potential, brain-computer interface, brain wave, central nervous system, electroencephalography data
Rights: © International Telecommunication Union, available under the CC BY-NC-ND 3.0 IGO license.
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