New equipment can help aphasiars to say what they want: monitor brain activity and say words

Release date: 2016-06-03

                    
Scientists are working on a machine that can "translate" human thinking into speech, which will soon become a reality. This research has been carried out for several years, and recently it has finally made a breakthrough. It can monitor the brain activity of the subject and play back a word that the subject just thought.

                   
The researchers placed electrodes on the surface of the linguistic area of ​​the awake patient's brain, using these electrodes to monitor the patient's electrical response pattern when listening to the recording. Then they built a computer model that allowed the played voice to match those electrical signals.

Scientists are working on a machine that can "translate" human thinking into speech, which will soon become a reality. This research has been carried out for several years, and recently it has finally made a breakthrough. It can monitor the brain activity of the subject and play back a word that the subject just thought.

Although there is still a long way to go, scientists believe that the machine can help stroke patients or other people who can't speak to communicate with people they love.

Professor Robert Knight of the University of California at Berkeley and his team have been studying how overlapping areas of the brain work when listening to words, words, and words. "The challenge we are currently facing is how to turn brain activity records into statements that can be understood when people think about the words they are going to say in their minds," Knight said.

According to Knight, the goal of the device is to help people with motor neuron diseases such as sputum or amyotrophic lateral sclerosis. "There are many neuronal diseases that limit the ability of patients to speak. Although they know what they are saying, they can't say it." Knight said, "We hope to develop an implantable device that can break the way we want to talk." The brain signal and convert it into an audio file to play."

Such devices can communicate with others through electronic speakers or writing devices. But the research team still has a lot of work to do. Currently, they have been able to monitor the temporal lobe activity and have the machine repeat a term that the subject has just heard.

The researchers placed electrodes on the surface of the linguistic area of ​​the awake patient's brain, using these electrodes to monitor the patient's electrical response pattern when listening to the recording. Then they built a computer model that allowed the played voice to match those electrical signals.

“We recorded the electrical signals emitted by the subjects in the brain's linguistic area when they answered the speech,” Knight explained. “Then we decode these signals and convert them into audio files. The converted audio can be replayed. What the subject just heard, and has a fairly high degree of accuracy.” The most remarkable thing is that the research team can use the brain activity record to decipher which word the subject thinks. “The new technology and brain signal mathematics approach is a step closer to getting the details you need to extract the signal.”

Researchers have used a smarter approach to breaking the limitations of research. For example, they first ask the subject to think of a word in their minds, then say the word and note the difference in time between the two steps. “We used a time adjustment method to make the device more accurately recognizable, whether a word was spoken by someone, or was it in mind.”

Evidence shows that the brain recognizes the physical characteristics of human voices and then converts them into language units with specific meanings, such as words. The method used by the research team is based on this fact. “Our research shows that brain signals representing a particular word can be captured by us.”

After making such significant progress, the research team is one step closer to the development of truly effective prosthetic devices, but they still need to continue their extensive research work. If we can better understand the language composition and use better recording equipment, we can help us develop a truly effective, implantable, battery-powered wireless language prosthetic device.

So far, the data used in this study is still very small, and all come from patients who are going to undergo neurosurgery (the cause of the surgery is not related to the experiment, such as treatment of epilepsy, etc.). “Our ultimate goal is to create a smaller device that meets people's everyday needs.”

Source: Sina Technology

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