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Home » Tech » Brain-Computer Interfaces Breakthrough: ALS Patient Controls Devices with Mind
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Brain-Computer Interfaces Breakthrough: ALS Patient Controls Devices with Mind

Mayende Collins IsraelBy Mayende Collins IsraelAugust 4, 20242 Mins ReadUpdated:August 4, 2024
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Brain-Computer Interfaces Breakthrough: ALS Patient Controls Devices with Mind
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The integration of brain-computer interfaces (BCIs) with mixed reality has reached a new milestone. Recently, an ALS patient controlled digital devices using thoughts alone. This achievement was made possible by Synchron’s innovative BCI system, which does not require brain surgery.

The concept of BCIs was first introduced in 1973 by Jacques Vidal, Ph.D. BCIs enable direct communication between the brain and external devices. This technology is especially valuable for individuals with neuromuscular disorders or paralysis. As the BCI industry evolves, it is predicted to reach $6.2 billion by 2030, growing at a rate of 17.5% annually.

Synchron’s Stentrode: A Minimally Invasive Solution for Brain-Computer Interfaces

One of Synchron’s major innovations is the Stentrode. Unlike traditional BCIs that require invasive surgery, the Stentrode is implanted through a minimally invasive procedure. The device consists of a stent-electrode array equipped with 16 sensors that capture brain signals. The stent is inserted via the jugular vein and positioned on the surface of the brain’s motor cortex. This method bypasses the need for opening the skull, reducing risks and recovery time.

brain-computer interfaces
Brain-computer interfaces

A 64-year-old ALS patient named Mark used the Stentrode to control a computer. With his thoughts, Mark could move a cursor, send texts, and play games. He interacted with the Apple Vision Pro headset, a mixed-reality device, without using his hands. This accomplishment demonstrates the potential of BCI technology to improve the quality of life for people with severe disabilities.

The Role of AI in Brain-Computer Interfaces

Artificial intelligence (AI) and machine learning play crucial roles in enhancing BCIs. AI algorithms decode brain signals, translating them into actionable commands. This capability allows users to control digital devices accurately, even with complex neural data. As AI technology advances, BCIs are expected to become more efficient and accessible.

BCIs hold promise for revolutionizing healthcare and assistive technology. They offer new ways for individuals with mobility or communication impairments to interact with the world. As research and development continue, we can expect more groundbreaking applications of this technology. The future of BCIs looks promising, with the potential to transform lives in ways we are only beginning to understand.

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Teacher, Writer ,Blogger and Entrepreneur with a million dreams to bring to reality. Its time to believe. Literary and Tech enthusiast and above all a Child of God.

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