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An Energy-Efficient Bridge-to-Digital Converter for Implantable Pressure Monitoring Systems

Besirli, Mustafa; Ture, Kerim; Beghetti, Maurice; Dehollain, Catherine; Mattavelli, Marco; Maloberti, Franco; Barrettino, Diego; (2022) An Energy-Efficient Bridge-to-Digital Converter for Implantable Pressure Monitoring Systems. IEEE Transactions on Biomedical Circuits and Systems pp. 1-10. 10.1109/tbcas.2022.3187828. (In press). Green open access

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Abstract

This paper presents an energy-efficient, duty-cycled, and spinning excitation bridge-to-digital converter (BDC) designed for implantable pressure sensing systems. The circuit provides the measure of the pulmonary artery pressure that is particularly relevant for the monitoring of heart failure and pulmonary hypertension patients. The BDC is made of a piezoresistive pressure sensor and a readout integrated circuit (IC) that comprises an instrumentation amplifier (IA) followed by an analog-to-digital converter (ADC). The proposed design spins both the bridge excitation and the ADC’s sampling input voltages simultaneously and exploits duty cycling to reduce the static power consumption of the bridge sensor and IA while cancelling the IA’s offset and 1/f noise at the same time. The readout IC has been designed and fabricated in a standard 180-nm CMOS process and achieves 8.4 effective number of bits (ENOB) at 1 kHz sampling rate while drawing 0.53 µA current from a 1.2 V supply. The BDC, built with the readout IC and a differential pressure sensor having 5 kΩ bridge resistances, achieves 0.44 mmHg resolution in a 270 mmHg pressure range at 1 ms conversion time. The current consumption of the bridge sensor by employing duty cycling is reduced by 99.8% thus becoming 0.39 µA from a 1.2 V supply. The total conversion energy of the pressure sensing system is 1.1 nJ, and achieves a figure-of-merit (FoM) of 3.3 pJ/conversion, which both represent the state of the art.

Type: Article
Title: An Energy-Efficient Bridge-to-Digital Converter for Implantable Pressure Monitoring Systems
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/tbcas.2022.3187828
Publisher version: https://doi.org/10.1109/TBCAS.2022.3187828
Language: English
Additional information: © 2022 IEEE. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/).
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10151908
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