Authors :
Ankita Chhikara; Amlan Banik
Volume/Issue :
Volume 9 - 2024, Issue 11 - November
Google Scholar :
https://tinyurl.com/ybd56xt4
Scribd :
https://tinyurl.com/yv9e92mm
DOI :
https://doi.org/10.5281/zenodo.14942778
Abstract :
Brain-Computer Interface (BCI) technology, which enables direct interaction between the human brain and
external devices, is revolutionizing healthcare. By decoding and interpreting neural signals, BCIs open new opportunities
for rehabilitation, regaining lost functions, and enhancing quality of life, especially for individuals with neurological
disorders, spinal cord injuries, or neurodegenerative conditions. This article examines the mechanisms, classifications,
applications, and challenges of BCIs. It highlights progress in invasive, partially invasive, and non-invasive BCIs, their
clinical and therapeutic uses, and the integration of artificial intelligence to improve their performance. While BCIs hold
tremendous promise, they face challenges in terms of accessibility, consistency, and ethical considerations. Looking ahead,
advancements are expected to broaden their applications in healthcare and everyday life, particularly through task-
specific and opportunistic innovations.
Keywords :
Brain Computer Interface, EEG, Neuro-Technology, Human Machine Interaction, Brain Sensing Technology, Healthcare Innovation.
References :
- Krucoff MO, Rahimpour S, Slutzky MW, Edgerton VR, Turner DA. Enhancing Nervous System Recovery through Neurobiologics, Neural Interface Training, and Neurorehabilitation. Front Neurosci. 2016;10:584.
- Ramadan RA, Altamimi AB. Unraveling the potential of brain-computer interface technology in medical diagnostics and rehabilitation: A comprehensive literature review. Health Technol. 2024 Mar 1;14(2):263–76.
- Brain-Computer Interface Systems: Recent Progress and Future Prospects - Google Books [Internet]. [cited 2024 Nov 4]. Available from: https://books.google.co.in/books?hl=en&lr=&id=ouecDwAAQBAJ&oi=fnd&pg=PA1&dq=K%C3%BCbler+A,+Holz+E,+Kaufmann+T,+Zickler+C,+K%C3%BCbler+A,+Holz+E,+et+al.+A+user+centred+approach+for+bringing+BCI+controlled+applications+to+end-users.+Brain-computer+interface+systems+-+recent+progress+and+future+prospects+%5BInternet%5D.+2013%3B+%5Bcited+2023+Jun+25%5D.+Available+from:+https://www.intechopen.com/chapters/43505&ots=b-ISnVLfQF&sig=t4Fw1yhH724o4SG88XmbkWdVIxM&redir_esc=y#v=onepage&q&f=false
- Recent advances and current trends in brain‐computer interface research and their applications - Zabcikova - 2022 - International Journal of Developmental Neuroscience - Wiley Online Library [Internet]. [cited 2024 Nov 4]. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1002/jdn.10166
- Nicolas-Alonso LF, Gomez-Gil J. Brain Computer Interfaces, a Review. Sensors. 2012 Feb;12(2):1211–79.
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- NeuroReport [Internet]. [cited 2024 Nov 11]. Available from: https://journals.lww.com/neuroreport/abstract/1999/06030/eeg_based_control_of_a_hand_grasp_neuroprosthesis.26.aspx
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- Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions | Journal of Imaging Informatics in Medicine [Internet]. [cited 2024 Nov 9]. Available from: https://link.springer.com/article/10.1007/s10278-017-9983-4
- Frontiers | Signal Generation, Acquisition, and Processing in Brain Machine Interfaces: A Unified Review [Internet]. [cited 2024 Nov 9]. Available from: https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2021.728178/full
- Zhang X, Ma Z, Zheng H, Li T, Chen K, Wang X, et al. The combination of brain-computer interfaces and artificial intelligence: applications and challenges. Annals of Translational Medicine. 2020 Jun;8(11):712–712.
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- G. Garipelli, F. Galn, R. Chavarriaga, P. W. Ferrez, E. Lew and J. R. Milln, "The use of brain-computer interfacing in ambient intelligence", Constr. Ambient Intell., vol. 11, no. 6, pp. 268-285, 2008.
- M. Satyanarayanan, "Pervasive computing: Vision and challenges", IEEE Pers. Commun., vol. 8, no. 4, pp. 10-17, Aug. 2001.
Brain-Computer Interface (BCI) technology, which enables direct interaction between the human brain and
external devices, is revolutionizing healthcare. By decoding and interpreting neural signals, BCIs open new opportunities
for rehabilitation, regaining lost functions, and enhancing quality of life, especially for individuals with neurological
disorders, spinal cord injuries, or neurodegenerative conditions. This article examines the mechanisms, classifications,
applications, and challenges of BCIs. It highlights progress in invasive, partially invasive, and non-invasive BCIs, their
clinical and therapeutic uses, and the integration of artificial intelligence to improve their performance. While BCIs hold
tremendous promise, they face challenges in terms of accessibility, consistency, and ethical considerations. Looking ahead,
advancements are expected to broaden their applications in healthcare and everyday life, particularly through task-
specific and opportunistic innovations.
Keywords :
Brain Computer Interface, EEG, Neuro-Technology, Human Machine Interaction, Brain Sensing Technology, Healthcare Innovation.