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

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Dipannita Debasish Mondal
Mukil Alagirisamy


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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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


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