Every living being has a brain that emanates electromagnetic waves. These signals have been known to science since 1849, and when recorded by specialists, the results are called electroencephalograms (EEG). We have designed and produced professional electroencephalographs for over 25 years. Until recently, this was a rather conservative industry, fulfilling a narrow set of needs: diagnosis of brain abnormalities and diseases.
However, the last decade’s scientific advances allow us to speak of a neurotechnological revolution, owing to new progress in microelectronics, medicine, brain-mapping, programming and data analysis.
The expert consensus is that over the course of the next decade–with the help of computerized neurointerfaces like BrainBit–humans will be able to guide and shape their emotional state of mind. The global market in neurotechnologies is expected to reach $1 trillion by 2035, making neurointerfaces as widespread as computer keyboards and touch screen phones.
BrainBit offers 4 EEG dry electrodes, 1 reference and 1 common sensor, achieving a higher spatial resolution on brain activity than any available device on the consumer market.
The system amplifies and digitizes analogue EEG signals collected by electrodes and transfers the physiological brain data of individuals via Bluetooth connectivity to a dedicated host computer, mobile device, or cloud backend.
In contrast with analogous devices, BrainBit follows the international 10 – 20 electrode placement protocol, with electrodes mounted inside the headband. Each electrode makes direct contact at the T3 and T4 temporal lobe regions as well as at the O1 and O2 occipital lobe regions. According to current research and international best practices, these specific regions provide the best access to high-fidelity signals for the four main types of brain waves. The BrainBit headband monitors electrical activity that is produced from the cortical regions of the brain and records the activity as raw EEG data. For user readability, this data is presented as wavelengths across four different frequency channels representing unique mental conditions.
The headband is designed for daily prolonged wearing and even use during sleep, featuring a lightweight and ergonomic design.
Highest Quality dry electrode technology and components built into the next generation of smart headwear.
Two patents in United States and Canada pending for EEG headband and dry electrodes.
Proprietary SDK and APIs allowing for creation of 3rd party apps and integration with hardware and software partners.
All neural response data acquired is sent to proprietary BrainBit Cloud for Data Mining and Machine Learning Analysis.
Configurable build of BrainBit EEG headband and technologies allows for strategic rebranding and repurposing of device.
Users monitor neurofeedback across various activities and contexts while proactively regulating healthy mental and behavioral patterns.
EEG technologies create a more immersive experience for users of VR, extending capabilities for mind-controlling interactions within VR and AR environments.
Neurofeedback is used to analyze sleep patterns and explore optimal sleeping conditions.
Neurofeedback triggers are provided in real-time to strengthen individuals’ meditation sessions.
Real-time neurofeedback can be used in understanding how the environmental factors such as time of day, road conditions and task at hand affect driving abilities.
Neurofeedback enables professional and amateur gamers to make incremental improvements in high performance training and competitive sessions.
No piece of hardware is optimal without software powering it. The BrainBit SDK contains a number of toolkits for software developers to utilize as they intertact with inbound raw EEG data. The SDK facilitates the process of performing complicated neural response interpretation and analysis into a simpler process in which neurofeedback is presented as simple indicators for interpretation.
The application displays the user brain state across a spectrum of categories including: Stress/Relaxation, Attention/Distraction, Happiness/Sadness, and Sleep/Awake.
The application displays the user brain state on a ranged scale of 0 to 100. This type of indicator provides a scaled approach for quantifying the magnitude of the human brain state.
The application displays a user`s brain state based on color outputs, such as Red, Yellow, and Green. These graphical indicators supplement the qualitative and quantitative indicators demonstrating the magnitude of a brain state.
HDT provides Data analytic solutions to the healthcare, sports, and consumer markets. Physiological data is stored on a proprietary cloud platform where we run advanced artificial intelligencе algorithms to discover deep insights into users’ behavior and cognitive state.
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