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Ultra-Low-Power PPG Analog Signal Processing Circuit for Continuous Blood Pressure Estimation

Serrano, RRM; Jiang, D; Demosthenous, A; (2022) Ultra-Low-Power PPG Analog Signal Processing Circuit for Continuous Blood Pressure Estimation. In: Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS) 2022. (pp. pp. 1-4). Institute of Electrical and Electronics Engineers (IEEE) Green open access

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Abstract

This paper describes a novel photoplethysmography-based blood pressure estimation circuit developed as a noninvasive and continuous alternative to current clinical blood pressure monitoring devices. The system integrates the functionalities of analogue front-end and analogue-to-digital converter elements in conventional photoplethysmography sensors and extracts features related to blood pressure on chip. The topology operates in analogue domain, current mode and ultra-low-power, thus suppressing digitisation and current-to-voltage conversion errors and reducing overall power consumption. The circuit has been designed in CMOS 65 nm technology. It employs a 1.5 V supply, consumes ∼345 nW (five times less power than state-of-the-art) and generates feature voltages with a 50 mV max. deviation. A linear regressor trained with the extracted features achieves 0.7±0.9 mmHg accuracy (grade A performance). The operation of the topology is described and results depicting its performance are presented.

Type: Proceedings paper
Title: Ultra-Low-Power PPG Analog Signal Processing Circuit for Continuous Blood Pressure Estimation
Event: ICECS 2022 - 29th IEEE International Conference on Electronics, Circuits and Systems
Location: Glasgow, Scotland
Dates: 24th-26th October 2022
ISBN-13: 978-1-6654-8823-5
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICECS202256217.2022.9971035
Publisher version: https://doi.org/10.1109/ICECS202256217.2022.997103...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
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
URI: https://discovery.ucl.ac.uk/id/eprint/10164293
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