Optimizing Brain-Computer Interface Reception: A GUI Design for Enhanced Signal Acquisition from the Peripheral Nervous System

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Published: Sep 30, 2023
Keywords:
Peripheral Nervous System (PNS), Brain-Computer Interface (BCI), Graphical User Interface (GUI)

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Dipannita Debasish Mondal
Research Scholar, Electronics and Telecommunications Department, Lincoln University College, Malaysia Campus, Kuala Lumpur
Mukil Alagirisamy
Associate Professor, Electrical and Electronics Engineering Department, Lincoln University College, Malaysia Campus, Kuala Lumpur

Abstract

This paper presents a novel approach to optimizing the reception of brainwave signals from the Peripheral Nervous System (PNS) through the design of a Graphical User Interface (GUI) for Brain-Computer Interface (BCI) systems. The efficient acquisition of signals from the PNS is essential for the accurate interpretation of neural activity and subsequent interaction with external devices. Our proposed GUI design focuses on enhancing signal acquisition by providing intuitive visualization tools and real-time feedback mechanisms. Through a combination of user-centered design principles and advanced signal processing algorithms, the GUI facilitates the seamless integration of PNS signals into BCI systems, enabling more robust and responsive neurofeedback applications. We discuss the key features of our GUI design, its potential applications in neurorehabilitation, cognitive enhancement, and assistive technology, and outline future directions for research in this rapidly evolving field.

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How to Cite
Mondal, D. D. ., & Alagirisamy, M. . (2023). Optimizing Brain-Computer Interface Reception: A GUI Design for Enhanced Signal Acquisition from the Peripheral Nervous System. International Journal of New Practices in Management and Engineering, 12(3), 01–06. Retrieved from https://www.ijnpme.org/index.php/IJNPME/article/view/209
Issue
Vol. 12 No. 3 (2023): Volume 12 No 03 (July - September 2023)
Section
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

References

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