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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53548
Volume:
9 |
11 |
Nov 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In the last few decades, BCIs have transitioned from science fiction to reality through the development of neuroimaging, signal processing, and device engineering. BCIs are interfaces that can be invasive acquiring brain signals through electrode implants or non-invasive via EEG, fMRI and fNIRS the interfaces clean, classify and use them with algorithms to achieve applications like rehabilitation, assistive technologies, robotics, gaming or even neuroscience research. The future of the BCI field is to develop direct C5 brain experiences by mitigating the technology challenges of non-linear brain signal dynamics, feature extraction and psycho-neurophysiological fluctuations to create plug-and-use business opportunities for the end-users. BCIs have already changed lives through communication. The more is to be discovered in the field and has a really good potential for the well being of others .It aims to help humans that lacks with the daily skills due to any reason that has disturbed the neurolink between the brain and the body . The electroencephalogram, the most common non-invasive brain-computer interface method, is susceptible to noise and artifacts. It also exhibits variability both within and between individuals across different sessions, devices, and tasks. Consequently, developing a universal pattern recognition model for EEG-based BCI systems that performs optimally for all users and conditions is challenging
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Publication Date
6/10/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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