Version 1
: Received: 1 March 2024 / Approved: 2 March 2024 / Online: 4 March 2024 (04:12:55 CET)
How to cite:
Vimal Cruz, M.; Jamal, S.; Sethuraman, S.C. A Comprehensive Survey of Brain-Computer Interface Technology in Healthcare: Research Perspectives. Preprints2024, 2024030082. https://doi.org/10.20944/preprints202403.0082.v1
Vimal Cruz, M.; Jamal, S.; Sethuraman, S.C. A Comprehensive Survey of Brain-Computer Interface Technology in Healthcare: Research Perspectives. Preprints 2024, 2024030082. https://doi.org/10.20944/preprints202403.0082.v1
Vimal Cruz, M.; Jamal, S.; Sethuraman, S.C. A Comprehensive Survey of Brain-Computer Interface Technology in Healthcare: Research Perspectives. Preprints2024, 2024030082. https://doi.org/10.20944/preprints202403.0082.v1
APA Style
Vimal Cruz, M., Jamal, S., & Sethuraman, S.C. (2024). A Comprehensive Survey of Brain-Computer Interface Technology in Healthcare: Research Perspectives. Preprints. https://doi.org/10.20944/preprints202403.0082.v1
Chicago/Turabian Style
Vimal Cruz, M., Suhaima Jamal and Sibi Chakkaravarthy Sethuraman. 2024 "A Comprehensive Survey of Brain-Computer Interface Technology in Healthcare: Research Perspectives" Preprints. https://doi.org/10.20944/preprints202403.0082.v1
Abstract
The Brain-Computer Interface (BCI) technology has emerged as a groundbreaking innovation with profound implications across diverse domains, particularly in healthcare. By establishing a direct communication pathway between the human brain and external devices, BCI systems offer unprecedented opportunities for diagnosis, treatment, and rehabilitation, thereby reshaping the landscape of medical practice. However, despite its immense potential, the widespread adoption of BCI technology in clinical settings faces several challenges. These include the need for robust signal acquisition and processing techniques, ensuring user safety and privacy, addressing ethical considerations, and optimizing user training and adaptation. Overcoming these challenges is crucial to unleashing the complete potential of BCI technology in healthcare and realizing its promise of personalized, patient-centric care. This review work underscores the transformative potential of BCI technology in revolutionizing medical practice. This paper offers a comprehensive analysis of medical-oriented BCI applications by exploring the various uses of BCI technology and its potential to transform patient care.
Keywords
Brain Computer Interface; Alzheime; Prosthetic Control; Neurofeedback; Human Computer Interaction
Subject
Computer Science and Mathematics, Signal Processing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
