Brain waves are roughly divided into alpha waves, beta waves, gamma waves, gamma waves, and xenon waves, and different waves correspond to different brain states. Although different brain waves roughly have a direction, the reality is much more complex. In fact, the deciphering of the brain telecommunications number is still a “blue sea”. Not long ago, a primary school in Zhejiang Province for students wearing “smart head ring” to detect brain waves to determine whether their concentration of attention caused a heated debate.
Testing brain waves, a technique commonly used in medical and research, is always a mystery because of the glitz of sci-fi movies.
So what is a brain wave, can it be detected and interpreted?
The activity of neurons forms brain waves.
Although the fantasy brain “stow” discharge can seem odd lycintic, brain waves do exist. The reason it is difficult to detect is because it has a maximum strength of only 200 microvolts.
When the brain is active, a large number of neurons occur synchronously after the synapses after the combined formation of brain waves, the essence of the synaptic potential is the incoming and outgoing of charged ions in the synapse. The so-called “spark of thought” is the “crackling” sound left by the passages of charged ions in the body that pass through the membranes of nerve cells (such as chemical gated passages) and the potential differences in different areas of the brain after the flow. The electroencephalogram records the overall reflection of the electrophysiological activity of brain nerve cells in the cerebral cortex or on the surface of the scalp.
It is generally believed that brain waves are roughly divided into alpha waves, beta waves, gamma waves, xenon waves, and xenon waves, and different waves correspond to different brain states. “Brain waves have always existed, but different waves in different states become subjects, such as when the eye closes, alpha waves will immediately become active. Huang Zhili, a professor at Fudan University, said that when the brain is full of ripples, people’s conscious activity is significantly inhibited and cannot be performed in logical thinking and reasoning. At this point, the brain receives and transmits information by intuition, inspiration, imagination, etc.
The scientists also found that when people wake up and focus on something, they often see a higher frequency than beta waves, with a frequency of 30-80 hz, and a range of waves that are variable. There is a hypothesis that gamma waves may be associated with building a unified and clear understanding, which enhances consciousness and generates attention by attracting the synchronization of different neuronal circuits.
The brain-machine interface, electrodes and head rings can be detected
“The brain wave itself is an electrical signal, microvolt measurement is really difficult, but the test is completely no problem, at least the laboratory no problem. “The advanced nature of electroencephalographic devices, the closeness of fit, measurement methods, whether implanted, etc. have an impact on the ability to accurately measure brain waves, ” said Lei Wei, a special researcher at Peking University’s School of Engineering.
It is understood that the current way to obtain brain waves, there are brain machine interface, electrode patch, head ring or helmet and so on.
Through the brain-computer interface to obtain brain waves, in theory to obtain the highest efficiency, the best recognition rate, and can be used for a long time, but the disadvantage is the need for brain-computer interface, greater risk.
Electrode patches are a typical way to obtain brain waves, in the medical field and in some scientific experimental scenarios, we can often see the outside of the brain with dense hemp electrodes.
Li Luqun, a professor at Shanghai Normal University, and others, have detailed the way brain waves are obtained by electrode patches: two dry electrodes connect the chip to the tester’s head, one of which is attached to the tester’s brain, and the other is sandwiched in the tester’s left ear. The biosensor is then connected to the computer terminal, and the chip sends the captured brain wave signal via Bluetooth to the biosensor, which displays the characteristics of the brain wave signal.
Although this method is much cheaper than the brain interface, does not need implantation, security is higher, in addition, its signal recognition rate is also more guaranteed. The downside, however, is that this approach is expensive to operate, requires professional assistance, cannot be carried out at any time, and is difficult to popularize in everyday life scenarios.
In addition, a head ring or helmet is one way to get brain waves. The advantage of a head ring or helmet is that it can be easily worn, continuously used and easily producted. The disadvantage is that the acquisition signal is easily disturbed by the background noise signal, and the accuracy and efficiency of recognition is obviously not as good as the first two.
The deciphering of the brain telecommunications number is still the “blue sea”
Sky-walking, eclectic, intelligent and profound … People’s thinking is so colorful, brain waves and a number of kinds and thousands of combinations, so how to decipher these signals?
“Different cognitions can be judged by changes in eEEEgraphs, but they are very complex. Zhang Yunhong, a researcher at the China Institute for Standardization, says that while different brainwaves have a roughly one direction, the reality is much more complex.
Li Luqun et al. to find the relationship between driver fatigue and brain wave signal, has established a model, through the complex data noise reduction, reconstruction, modeling, fitting and other multi-step processing, after multi-step calculation, and then reverse verification, to obtain a relatively accurate calculation method, so that alpha, beta, xenon wave characteristics can be calculated, Thus, the fatigue state of the determination expression, to judge fatigue or not.
“The main question is whether brain waves are accurate and the data are of no value. “If an accurate mathematical model is not drawn at the basic research stage, then subsequent software design and application development are all of a model.
In fact, the deciphering of the brain telecommunications number is still a “blue sea”. “The characteristic values of alpha, beta, and xenon waves are used for calculations, and that’s only part of it, and there are many other effects. Zhang Yunhong said there is no consensus in the scientific community, such as guidelines. The foundation of life activity in the field of biology is still an unsolved mystery, and the expression of it into mathematical model sits is a reflection of the thick lines, even if the brain wave capture is accurate and the subsequent software development is suitable, it can not reflect the current situation of thinking with great precision.
For example, from the Southwest University of Science and Technology Li Xuefei, Xu Chaojin, “The impact of e-brain biofeedback on the attention of normal primary school students” paper can be seen, the experiment for the attention of the attention of the eight fifth graders, using electroencephalopathy feedback training system for two months of attention training, compared found that, although the overall effect improved, However, there is a phenomenon that the electroencephalogram data is inconsistent with the results of the scale. That is, e-brain data show concentration, while the scale question bank shows insufficient attention. Whether the e-brain data is close to the actual situation, or the subjective question library is more accurate, it is still difficult to judge.
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Regulating brain waves is expected to intervene in cognitive impairments, etc.
Reporters learned that the American Academy of Pediatrics will brain wave nerve feedback training as one of the intervention stoicism. Chinese scientists are also developing a wearable helmet, hoping to monitor, regulate brain waves, and combine artificial intelligence algorithms to achieve feedback-controlled human brain function-assisted enhancement technology.
This wearable brain function control helmet is based on the noninvasive brain stimulation regulation technology that has emerged in recent years, the principle is: through a flexible electrode sensor, to identify the brain’s waves in the brain to perform different tasks, and then through the electrode combination to release a weak electrical impulse stimulation, to reach a specific area of the brain, change the activity of the brain wave, Regulates the active state of neuronal cells in the brain.
The technology is expected to be used in the future for skill training and rapid improvement of learning and memory skills for special personnel, intervention and relief of anxiety and stress caused by high-stress environments, the head of the research team said. In the medical field, the technology is expected to intervene in children’s ADHD, depression, Alzheimer’s, aphasia, Parkinson’s disease and other dysfunctions, limb movement disorders, and cognitive impairment.
Through experimental studies, the team analyzed specific brain regions associated with attention to cognitive, emotional regulation, anxiety, drug addiction, stress and epilepsy, and hoped to implement effective interventions for these specific brain regions in the future. But the relevant person in charge also admitted that the current data is only the results of some population tests, helmets in the large-scale market before, but also for different age, groups of people to do more double-blind experiments, the accumulation of convincing enough data. (Reporter Zhang Jiaxing)