Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2025 Jun 9:15:16.
doi: 10.4103/jmss.jmss_49_24. eCollection 2025.

A Comprehensive Survey of Brain-Computer Interface Technology in Health care: Research Perspectives

Meenalosini Vimal Cruz  1 , Suhaima Jamal  2 , Sibi Chakkaravarthy Sethuraman  3
Affiliations
Review

A Comprehensive Survey of Brain-Computer Interface Technology in Health care: Research Perspectives

Meenalosini Vimal Cruz et al. J Med Signals Sens. .

Abstract

The brain-computer interface (BCI) technology has emerged as a groundbreaking innovation with profound implications across diverse domains, particularly in health care. By establishing a direct communication pathway between the human brain and external devices, BCI systems offer unprecedented opportunities for diagnosis, treatment, and rehabilitation, thereby reshaping the landscape of medical practice. However, despite its immense potential, the widespread adoption of BCI technology in clinical settings faces several challenges. These include the need for robust signal acquisition and processing techniques and optimizing user training and adaptation. Overcoming these challenges is crucial to unleashing the complete potential of BCI technology in health care and realizing its promise of personalized, patient-centric care. This review work underscores the transformative potential of BCI technology in revolutionizing medical practice. This paper offers a comprehensive analysis of medical-oriented BCI applications by exploring the various uses of BCI technology and its potential to transform patient care.

Keywords: Alzheimer; brain-computer interface; human-computer interaction; neurofeedback; prosthetic control.

PubMed Disclaimer

Conflict of interest statement

There are no conflicts of interest.

Figures

Figure 1
Figure 1
Brain-computer interface medical application taxonomy
Figure 2
Figure 2
PRISMA flow diagram for systematic review approach
Figure 3
Figure 3
End to end brain-computer interface system for medical intervention
See this image and copyright information in PMC

References

    1. Myrden A, Chau T. Effects of user mental state on EEG-BCI performance. Front Hum Neurosci. 2015;9:308. - PMC - PubMed
    1. Maiseli B, Abdalla AT, Massawe LV, Mbise M, Mkocha K, Nassor NA, et al. Brain–computer interface:trend, challenges, and threats. Brain Inform. 2023;10:20. doi:10.1186/s40708-023-00199-3. - PMC - PubMed
    1. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. - PMC - PubMed
    1. Moher D, Liberati A, Tetzlaff J, Altman DG PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Ann Intern Med. 2009;151:264–9. - PubMed
    1. Tian Z. International Conference on Mathematics, Modeling, and Computer Science (MMCS2022) Vol. 12625. SPIE; 2023. Research on the relationship between brain signal analysis algorithm and invasive brain computer interface; pp. 442–8.

LinkOut - more resources