Brain-computer interface in critical care and rehabilitation.

brain–computer interface communication intensive care unit muscular weakness neurorehabilitation

Journal

Acute and critical care
ISSN: 2586-6060
Titre abrégé: Acute Crit Care
Pays: Korea (South)
ID NLM: 101726905

Informations de publication

Date de publication:
12 Jan 2024
Historique:
received: 30 10 2023
accepted: 08 11 2023
medline: 16 1 2024
pubmed: 16 1 2024
entrez: 15 1 2024
Statut: aheadofprint

Résumé

This comprehensive review explores the broad landscape of brain-computer interface (BCI) technology and its potential use in intensive care units (ICUs), particularly for patients with motor impairments such as quadriplegia or severe brain injury. By employing brain signals from various sensing techniques, BCIs offer enhanced communication and motor rehabilitation strategies for patients. This review underscores the concept and efficacy of noninvasive, electroencephalogram-based BCIs in facilitating both communicative interactions and motor function recovery. Additionally, it highlights the current research gap in intuitive "stop" mechanisms within motor rehabilitation protocols, emphasizing the need for advancements that prioritize patient safety and individualized responsiveness. Furthermore, it advocates for more focused research that considers the unique requirements of ICU environments to address the challenges arising from patient variability, fatigue, and limited applicability of current BCI systems outside of experimental settings.

Identifiants

pubmed: 38224957
pii: acc.2023.01382
doi: 10.4266/acc.2023.01382
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Eunseo Oh (E)

Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Korea.

Seyoung Shin (S)

Department of Mechanical Engineering, Sungkyunkwan University, Suwon, Korea.

Sung-Phil Kim (SP)

Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Korea.

Classifications MeSH