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Review of Brain-Computer Interface Applications in Neurological Disorders

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Proceedings of the Second International Conference on Computing, Communication, Security and Intelligent Systems (IC3E 2018)

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Communication and control over their environment have been made possible by brain-computer interface (BCI) for individuals with disabilities and neurological disorders. Applications of BCI have been used to control prosthetic limbs, provide visual feedback, and improve cognitive functions such as attention and memory. In this review, we examine the progress of BCI-based rehabilitation strategies and identify challenges to be overcome in the future. Our study examined brain-computer interface applications in neurological disorders and electroencephalogram (EEG). A number of strategies have been used in the past to improve motor, somatosensory, and cognitive functions, as well as to assist with daily activities. In order to advance BCI-based rehabilitation, researchers must develop better systems and improve computer-brain interfaces. In our study, we found that BCI can provide a personalized and interactive therapeutic environment for neurological rehabilitation. As well as monitoring changes in brain activity, it can also be used to assess treatment effectiveness.

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Authors and Affiliations

  1. Department of Biomedical Engineering, Meybod University, Meybod, Iran

    Ali Sami, Khosro Rezaee & Mojtaba Ansari

  2. Shandong Provincial University Laboratory for Protected Horticulture, Weifang University of Science and Technology, Shandong, Weifang, 262799, China

    Mohamadreza Khosravi

  3. Department of Medical Physics and Engineering, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran

    Mohamadreza Khosravi

  4. Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran

    Vahid Karimi

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  1. Ali Sami
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  2. Khosro Rezaee
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  3. Mojtaba Ansari
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  4. Mohamadreza Khosravi
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  5. Vahid Karimi
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Correspondence to Khosro Rezaee or Mohamadreza Khosravi .

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Editors and Affiliations

  1. Nottingham Trent University, Nottingham, UK

    Shahid Mumtaz

  2. Data Science and Cybersecurity Center, Howard University, Washington, WA, USA

    Danda B. Rawat

  3. Department of Computer Science and Engineering, SCMS School of Engineering and Technology, Ernakulam, Kerala, India

    Varun G. Menon

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Sami, A., Rezaee, K., Ansari, M., Khosravi, M., Karimi, V. (2024). Review of Brain-Computer Interface Applications in Neurological Disorders. In: Mumtaz, S., Rawat, D.B., Menon, V.G. (eds) Proceedings of the Second International Conference on Computing, Communication, Security and Intelligent Systems. IC3E 2018. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-8398-8_26

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