A bio-inspired Neuron-ADC with reconfigurable sampling and static power reduction for biomedical applications is proposed in this work. The Neuron-ADC leverages level-crossing sampling and a bio-inspired refractory circuit to compressively converts bio-signal to digital spikes and information-of-interest. The proposed design can not only avoid dissipating ADC energy on unnecessary data but also achieve reconfigurable sampling, making it appropriate for either low power operation or high accuracy conversion when dealing with various kinds of bio-signals. Moreover, the proposed dynamic comparator can reduce static power up to 41.1% when tested with a 10 kHz sinusoidal input. Simulation results of 40 nm CMOS process show that the Neuron-ADC achieves a maximum ENOB of 6.9 bits with a corresponding FoM of 97 fJ/conversion under 0.6 V supply voltage.
@article{arxiv.2211.15319,
title = {A 97 fJ/Conversion Neuron-ADC with Reconfigurable Sampling and Static Power Reduction},
author = {Jinbo Chen and Hui Wu and Jie Yang and Mohamad Sawan},
journal= {arXiv preprint arXiv:2211.15319},
year = {2022}
}
Comments
Accepted to 2022 IEEE the 18th Asia Pacific Conference on Circuits and Systems (APCCAS)