Creating the first universal standard
Today’s brain technologies, made for research and medical use, have various drawbacks. The fMRI lacks temporal resolution, and requires space and special expertise to operate. The EEG is subject to variability, human error and artifacts which distort the Signal to Noise Ratio (SNR). Other inaccuracies stem from the anatomical differences between people and inaccuracies from the manual placement of the electrodes. As a result, in different datasets, the same nominal electrode can see different brain areas.
Simply put, data between individuals will often be imprecise, making it impossible to accurately benchmark and accumulate Brain Data for meaningful Big Data Cloud analysis.
Maps the brain, providing certainty that the data is accurate.
After the Brain Sensei™ is on the user’s head and the Auto Donning technology calibrates to their scalp, the next step in the process is our Brain GPS™ technology.
First, let’s understand the existing problems.
Human beings have unique head sizes, head shapes, skulls, scalps and hair styles. Additionally, the brain’s actual shape and functional areas are not uniform. Like veins, we all have them but their placement can differ between individuals. This variability makes it very difficult to measure and record Brain Data with manual EEG systems.
Since the brain’s functional areas are not the same between individuals, the sensors placed by the technician and the data collected will be compromised. This makes it nearly impossible to compare data samples and draw meaningful insights, since the researcher cannot be sure that they are “comparing apples to apples.”
Due to manual placement, at best the sensors will be slightly different across procedures. At worst, they will be placed incorrectly to begin with. Wet EEG systems attempt to mitigate this known issue by measuring head sizes, while Dry EEG systems have no protocols.
Data based indicators of human behavior
Generated by the Brain Cloud, Brain Insights are data-based indicators of human behavior such as: