The goal of this project is to develop a wireless wearable headset that uses medical grade EEG (Electroencephalography) method to track and analyze the brain signals during sleep periods.
The device uses its specially developed electrodes, manufactured from medical grade conductive fabric, that contacts the forehead to gather the EEG signals. Gathered signals conditioned with a specially designed circuitry and processed by the 32-bit ARM® Cortex™ CPU with 512kB RAM. Bluetooth low energy protocol allows the device to continuously stream EEG data and user’s forehead movements to a mobile app in real-time.
Several versions of preliminary prototypes developed during the proof of concept phase, in order to logging data and test the device in real time usage scenarios. Specialized printed circuit boards developed to evaluate various BLE (Bluetooth Low Energy) ICs in order to find the most versatile and energy efficient IC.
The device allows users to visualize and record the sleep quality data using specially designed UI and Android mobile application. Final prototype debuted in the Quantified Self Conference in Amsterdam.