Brain Computer Interfaces: Engineering That Changed Healthcare


Authors : Ankita Chhikara; Amlan Banik

Volume/Issue : Volume 9 - 2024, Issue 11 - November


Google Scholar : https://tinyurl.com/ybd56xt4

Scribd : https://tinyurl.com/yv9e92mm

DOI : https://doi.org/10.5281/zenodo.14942778


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.

Keywords : Brain Computer Interface, EEG, Neuro-Technology, Human Machine Interaction, Brain Sensing Technology, Healthcare Innovation.

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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.

Keywords : Brain Computer Interface, EEG, Neuro-Technology, Human Machine Interaction, Brain Sensing Technology, Healthcare Innovation.

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