Neuromorphic Approach based Current Sensing Analog to Digital Converter for Biomedical Applications

Singhal, N and Santosh, M and Bose, SC and Karmakar, A (2020) Neuromorphic Approach based Current Sensing Analog to Digital Converter for Biomedical Applications. In: 17th IEEE India Council International Conference (INDICON-2020), December 11-13, 2020, NSUT, New Delhi, India.

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Abstract

A current sensing analog-to-digital converter (CADC) targeting biomedical applications is proposed in this paper. The proposed architecture consists of a leaky integrate and fire (LIF) neuron model inspired from neuromorphic circuits along with digital control circuits and error correction circuit to enhance INL/DNL performance. The architecture is tuned for input signal ranging from 1 µA to 64 µA with power supply of 1/1.8 V for digital and analog blocks respectively. The design is implemented in 0.18 µm CMOS 1P4M triple-well process of Tower Jazz Semiconductor's technology. Total power consumption of the circuit is 1.95 mW & 48.86 µW respectively and achieves FoM of 331.6 & 71.24 pJ/conversion-step for the cases with and without error correction for 6-bits operation.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	CADC, CMOS, LIF, FoM.
Subjects:	Semiconductor Devices > Sensors and Nanotechnology
Divisions:	Semiconductor Devices
Depositing User:	Mr. Jitendra Nath Bajpai
Date Deposited:	10 Sep 2021 11:24
Last Modified:	10 Sep 2021 11:24
URI:	http://ceeri.csircentral.net/id/eprint/565

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