@inbook{6cbe8f7049364d43a3e0da2ccd2e207f,
title = "Emerging Non-invasive Brain–Computer Interface Technologies and Their Clinical Applications",
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.",
keywords = "Brain–computer interfaces (BCI), Clinical technology, Electroencephalography (EEG), Rehabilitation",
author = "Cory Stevenson and Yang Chang and Congying He and Phang, {Chun Ren} and Su, {Cheng Hua} and Lin, {Ro Wei} and Ko, {Li Wei}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.",
year = "2023",
doi = "10.1007/978-981-19-2940-3_19",
language = "English",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "269--290",
booktitle = "Lecture Notes in Networks and Systems",
address = "德國",
}
