ScientistWeHas developed a portable device comparable to the cutting-edge technology in the laboratory64Channel wearable brain activity monitoring system.

This system is equipped with EEG (EEG）Sensor, soIt can be well adapted to the world application, and its application range is very wide, from scientific research to clinical diagnosis.

　　　Get rid of the lab.“Bound”

The main purpose of this study is to helpEEGThe system is free from the shackles of the laboratory. Scientistwant to be inFutureofneuroimaging systemandMobile sensortoand smartphone collaboration，Enhance brain function.

　  They hope to lead to new treatments for neurological diseases. Gert, the main developer of the study·Cowen Boggs said:“We hope that the brain can solve problems on its own, and are currently avoiding invasive technologies, such as deep brain stimulation and prescription drugs, and instead using the brain's synaptic plasticity to initiate self-repair procedures.”

It took the researchers four years to perfect the material formulation of the sensor, which is mainly composedA flexible substrate made of a mixture of silver and carbon，Resilience and durability when transmitting high quality signalsIts built-in conductive waterhydrogel membrane, you can make the sensor directlyWork on the surface of bare skin。

The researchers saidTo capture the signal while the wearer is moving, increase the helmet performance. The experimental results show that the signal acquisition is very reliable when walking, but the performance is poor when strenuous activities.

　　DataAnalysis software“noise reduction”Good.

Analyze data captured by the helmet, need to be connectedInterference signal separation. BecauseThe weak electrical currents from the brain are usually easily disturbed by high-amplitude signals such as the wearer's movement and speech.。

The researchers devised an algorithm for this,It isThe data of the wearer's restandDynamic data comparison,PutIf it does not meet the requirements, it will be disposed of, and then a relatively clean simple brain signal data will be obtained.

But data analysis doesn't stop there. Using the data that has been collected, the researchers can track the signals generated by the interaction of different regions of the brain in real time to build a constantly changing network of brain activity. They then let the computer connect to special networks of brain activity to learn the brain's cognitive and behavioral patterns.

　　Innovative start-up companies are subject“sought after”

Both Yuchi and Mullen have created their own brain technology business companies for this purpose.

The name of Yuchi's company isCognionicsThe helmets are also popular with neurofeedback experts, an area where the ultimate goal of research is to get helmets into clinics to help diagnose diseases such as stroke and epilepsy.

Mullen's startup is calledQusp, has developed a cloud-based software platform with the goal of making the brain—The machine interface and excellent signal processing methods are easier to adapt to a wide variety of daily applications and wearable devices.

For this moment to come, sensors need to become not only wearable, but also comfortable, and their data analysis algorithms need to be able to cut off interference from meaningless information from the outside world.