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    Chapter Noninvasive Acquisition of the Aortic Blood Pressure Waveform

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    Author(s)
    Priidel, Eiko
    Annus, Paul
    Kõiv, Hip
    Pesti, Ksenija
    Min, Mart
    Language
    English
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    Abstract
    Blood pressure reflects the status of our cardiovascular system. For the measurement of blood pressure, we typically use brachial devices on the upper arm, and much less often, the radial devices with pressure sensors on the wrist. Medical doctors know that this is an unfortunate case. The brachial pressure and even more, the radial pressure, both are poor replacements for the central aortic pressure (CAP). Moreover, the devices on the market cannot provide continuous measurements 24 h. In addition, most of the ambulatory and wearable monitors do not enable acquisition of the blood pressure curves in time. These circumstances limit the accuracy of diagnosing. The aim of this chapter is to introduce our experiments, experiences and results in developing the wearable monitor for central aortic blood pressure curve by using electrical bioimpedance sensing and measurement. First, electronic circuitry with embedded data acquisition and signal processing approaches is given. Second, finding appropriate materials, configurations and placements of electrodes is of interest. Third, the results of modelling and simulations are discussed for obtaining the best sensitivity and stability of the measurement procedures. Finally, the discussion on the provided provisional experiments evaluates the obtained results. The conclusions are drawn together with the need for further development.
    URI
    https://library.oapen.org/handle/20.500.12657/49300
    Keywords
    blood pressure waveform, central aortic pressure, cardiovascular system, medical indications, diagnosing, electrical impedance, bioimpedance-based sensing, modelling, simulation, signal processing, transfer function, noninvasive measurements, electrodes, wearable devices
    DOI
    10.5772/intechopen.86065
    Publisher
    InTechOpen
    Publisher website
    https://www.intechopen.com/
    Publication date and place
    2019
    Classification
    Technology: general issues
    Rights
    https://creativecommons.org/licenses/by/3.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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