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Device Taps Brain Waves to Help Paralyzed Man Communicate

In a medical first, researchers harnessed the brain waves of a paralyzed guy unable to talk — and turned what he intended to mention into sentences on a computer screen. It will take years of additional studies but the study marks an important step towards one day restoring more natural communication for people who can’t talk due to injury or illness. Today, people who can’t talk or write due to paralysis have very constrained ways of communicating. For example, the man withinside the experiment, who changed into now no longer recognized to defend his privacy, makes use of a printer connected to a baseball cap that lets him moves his head to the touch phrases or letters on a screen. Other gadgets can select out up patients’ eye moves. But it’s a frustratingly gradual and constrained substitution for speech. The device taps brain waves to work around a disability in a hot field. In latest years, experiments with mind-controlled prosthetics have allowed paralyzed human beings to shake arms or take a drink with the use of a robot arm — they believe transferring and people’s brain signals are relayed via a pc to the synthetic limb.

Chang’s crew built on that work to expand a “speech neuroprosthetic” — decoding brain waves that normally manage the vocal tract, the tiny muscle movements of the lips, jaw, tongue, and larynx that shape each consonant and vowel. Volunteering to check the tool changed into a person in his late 30s who 15 years in the past suffered a brain-stem stroke that brought on enormous paralysis and robbed him of speech. The researchers implanted electrodes at the surface of the person’s brain, over the area that controls speech. The device taps brain waves to help paralyzed man communication

Chang’s lab has spent years mapping the brain activity that leads to speech. First, researchers temporarily placed electrodes in the brains of volunteers present process surgical operation for epilepsy, so they may healthy mind hobby to spoken phrases. The next steps consist of approaches to enhance the device’s speed, accuracy, and vocabulary size — and perhaps one day allow a laptop-generated voice in preference to text on a screen — whilst testing a small range of additional volunteers.

 

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