Power optimization of NeuroMonitor EEG device: Hardware/software co-designed interrupt driven clocking approach

Wireless and wearable EEG device for home based long-term non intrusive diagnosis for therapy applications like ASD, ADHD, Epilepsy and other neurological disorders is crucial. This work presents the NeuroMonitor (rev. 2.0) platform designed to record EEG signals from two (bipolar or referential montage) channels. The device is lightweight 41.8g (with 900mAh battery and 3 electrodes) and miniature, 5.58cm× 2.03cm × 0.91cm. A power analysis and power optimization techniques have been studied using interrupt driven clocking approach for the Analog Front End, the ADC and the Digital Back End. About 5 fold power reduction; from the 94mW (av.) in rev. 1.0 to a 17mW in rev. 2.0, while maintaining the sampling rate has been achieved.