In this section
@inproceedings{Maslik:2017:10.1109/ISCAS.2017.8050620,
author = {Maslik, M and Liu, Y and Lande, TS and Constandinou, TG},
doi = {10.1109/ISCAS.2017.8050620},
pages = {1420--1423},
publisher = {IEEE},
title = {A charge-based ultra-low power continuous-time ADC for data driven neural spike processing},
url = {http://dx.doi.org/10.1109/ISCAS.2017.8050620},
year = {2017}
}
TY - CPAPER
AB - The paper presents a novel topology of a continuous-time analogue-to-digital converter (CT-ADC) featuring ultra-low static power consumption, activity-dependent dynamic consumption, and a compact footprint. This is achieved by utilising a novel charge-packet based threshold generation method, that alleviates the requirement for a conventional feedback DAC. The circuit has a static power consumption of 3.75uW, with dynamic energy of 1.39pJ/conversion level. This type of converter is thus particularly well-suited for biosignals that are generally sparse in nature. The circuit has been optimised for neural spike recording by capturing a 3kHz bandwidth with 8-bit resolution. For a typical extracellular neural recording the average power consumption is in the order of ~4uW. The circuit has been implemented in a commercially available 0.35um CMOS technology with core occupying a footprint of 0.12 sq.mm
AU - Maslik,M
AU - Liu,Y
AU - Lande,TS
AU - Constandinou,TG
DO - 10.1109/ISCAS.2017.8050620
EP - 1423
PB - IEEE
PY - 2017///
SP - 1420
TI - A charge-based ultra-low power continuous-time ADC for data driven neural spike processing
UR - http://dx.doi.org/10.1109/ISCAS.2017.8050620
UR - http://hdl.handle.net/10044/1/46112
ER -