Brain Computer Interfaces: Engineering That Changed Healthcare

Brain-Computer Interface (BCI) technology, which enables direct interaction between the human brain and external devices, is revolutionizing healthcare. By decoding and interpreting neural signals, BCIs open new opportunities for rehabilitation, regaining lost functions, and enhancing quality of life, especially for individuals with neurological disorders, spinal cord injuries, or neurodegenerative conditions. This article examines the mechanisms, classifications, applications, and challenges of BCIs. It highlights progress in invasive, partially invasive, and non-invasive BCIs, their clinical and therapeutic uses, and the integration of artificial intelligence to improve their performance. While BCIs hold tremendous promise, they face challenges in terms of accessibility, consistency, and ethical considerations. Looking ahead, advancements are expected to broaden their applications in healthcare and everyday life, particularly through task- specific and opportunistic innovations.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-01
DOI
https://doi.org/10.5281/zenodo.14942777
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
0.00
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article

Brain Computer Interfaces: Engineering That Changed Healthcare

Zenodo (CERN European Organization for Nuclear Research)
Statistical Methods in Clinical Trials
article

Brain Computer Interfaces: Engineering That Changed Healthcare

article en

Abstract

Brain-Computer Interface (BCI) technology, which enables direct interaction between the human brain and external devices, is revolutionizing healthcare. By decoding and interpreting neural signals, BCIs open new opportunities for rehabilitation, regaining lost functions, and enhancing quality of life, especially for individuals with neurological disorders, spinal cord injuries, or neurodegenerative conditions. This article examines the mechanisms, classifications, applications, and challenges of BCIs. It highlights progress in invasive, partially invasive, and non-invasive BCIs, their clinical and therapeutic uses, and the integration of artificial intelligence to improve their performance. While BCIs hold tremendous promise, they face challenges in terms of accessibility, consistency, and ethical considerations. Looking ahead, advancements are expected to broaden their applications in healthcare and everyday life, particularly through task- specific and opportunistic innovations.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 56%
Statistical Methods in Clinical Trials
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