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Video s3
    Details
    Poster
    Presenter(s)
    Ruben Ruiz-Mateos Serrano Headshot
    Affiliation
    Affiliation
    Imperial College London
    Country
    Author(s)
    Affiliation
    Affiliation
    Imperial College London
    Display Name
    Dai Jiang
    Affiliation
    Affiliation
    University College London
    Affiliation
    Affiliation
    University College London
    Abstract

    This paper describes a novel photoplethysmography-based blood pressure estimation circuit developed as a non-invasive 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 65nm technology. It employs a 1.5V supply, consumes $\\sim$345nW (five times less power than state-of-the-art) and generates feature voltages with a 50mV max. deviation. A linear regressor trained with the extracted features achieves 0.7$\\pm$0.9 mmHg accuracy (grade A performance). The operation of the topology is described and results depicting its performance are presented.