Title :
A 262nW analog front end with a digitally-assisted low noise amplifier for batteryless EEG acquisition
Author :
Bhargava, P. ; Hairston, W.D. ; Proie, R.M.
Author_Institution :
Res. Lab., Sensors & Electron Devices Directorate, U.S. Army, Adelphi, MD, USA
Abstract :
This paper presents an analog front end (AFE) for a deploy-and-forget EEG monitoring system capable of indefinitely capturing and wirelessly transmitting a wide variety of neural measurements without battery power. This AFE design demonstrates a power consumption of 262nW per channel, lower than any other EEG acquisition system currently described in literature. In order to better utilize the smaller dynamic range of low power subthreshold ADCs, this architecture employs variable gain and a novel digital feedback loop to cancel electrode offset and other extraneous signals prior to amplification.
Keywords :
analogue-digital conversion; biomedical electronics; electroencephalography; low noise amplifiers; low-power electronics; analog front end; batteryless EEG acquisition; deploy-and-forget EEG monitoring system; digital feedback loop; digitally-assisted low noise amplifier; low power subthreshold ADCs; neural measurements; power 262 nW; power consumption; 1f noise; Dynamic range; Electrodes; Electroencephalography; Gain; Power demand;
Conference_Titel :
SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S), 2014 IEEE
Conference_Location :
Millbrae, CA
DOI :
10.1109/S3S.2014.7028247