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Emerging Non-invasive Brain–Computer Interface Technologies and Their Clinical Applications

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Emerging IT/ICT and AI Technologies Affecting Society

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 478))

Abstract

Brain–computer interfaces (BCIs) are a continuously evolving technology of great importance to society and human wellbeing. With a wide range of applications and the integration of many emerging technologies, BCIs have the capacity to change many fields, in particular, the field of clinical medicine and patient health. This chapter covers current developments in non-invasive BCIs and their use for a variety of clinical applications. It provides an overview of EEG hardware and non-invasive BCI systems and covers common electrophysiological recording techniques and signal processing algorithms often employed in BCIs. It then details examples of how these are implemented for particular clinical applications, including attention-deficit hyperactivity disorder identification, stroke rehabilitation, and sleep enhancement, highlighting the potential capabilities of BCI to address such current and future clinical challenges.

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Authors and Affiliations

  1. National Yang Ming Chiao Tung University, Hsinchu, Taiwan

    Cory Stevenson, Yang Chang, Congying He, Chun-Ren Phang, Cheng-Hua Su, Ro-Wei Lin & Li-Wei Ko

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  1. Cory Stevenson
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  2. Yang Chang
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  3. Congying He
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  4. Chun-Ren Phang
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  5. Cheng-Hua Su
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  7. Li-Wei Ko
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Corresponding author

Correspondence to Li-Wei Ko .

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Editors and Affiliations

  1. Muffakham Jah College Engineering and Technology, Hyderabad, India

    Mousmi Ajay Chaurasia

  2. National Chung Hsing University, Taichung, Taiwan

    Chia-Feng Juang

Appendices

Appendix 1: References for Wet-electrode EEG Systems

  1. a)

    http://compumedicsnuroscan.com/

  2. b)

    https://www.advancedbrainmonitoring.com/neurotechnology/

  3. c)

    https://mbraintrain.com/smarting/

  4. d)

    https://www.neuroelectrics.com/products/enobio/enobio-8/

  5. e)

    http://www.gtec.at/Products

  6. f)

    https://openbci.com/

  7. g)

    https://www.brainproducts.com/products_by_apps.php?aid=5

Appendix 2: References for Dry-electrode EEG Systems

  1. a)

    http://neurosky.com/

  2. b)

    https://www.emotiv.com/

  3. c)

    https://www.cognionics.net/us-price

  4. d)

    https://vandrico.com/wearables/search/node/Imec

  5. e)

    http://www.bri.com.tw/product_br8plus.html

  6. f)

    http://www.quasarusa.com/products_dsi.htm; https://bio-medical.com/freedom-24d-wireless-eeg-headset-w-brainavatar-acquisition-software.html

  7. g)

    https://www.neuroelectrics.com/products/enobio/enobio-8/

  8. h)

    http://www.gtec.at/Products

  9. i)

    https://openbci.com/

  10. j)

    https://www.brainproducts.com/products_by_apps.php?aid=5

  11. k)

    http://zeto-inc.com/

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Stevenson, C. et al. (2023). Emerging Non-invasive Brain–Computer Interface Technologies and Their Clinical Applications. In: Chaurasia, M.A., Juang, CF. (eds) Emerging IT/ICT and AI Technologies Affecting Society. Lecture Notes in Networks and Systems, vol 478. Springer, Singapore. https://doi.org/10.1007/978-981-19-2940-3_19

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