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

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations


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.

Original languageEnglish
Title of host publicationLecture Notes in Networks and Systems
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages22
StatePublished - 2023

Publication series

NameLecture Notes in Networks and Systems
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


  • Brain–computer interfaces (BCI)
  • Clinical technology
  • Electroencephalography (EEG)
  • Rehabilitation


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