Application of photoplethysmography signals for healthcare systems: an in-depth review

LOH, Hui Wen, XU, Shuting, FAUST, Oliver, OOI, Chui Ping, BARUA, Prabal Datta, CHAKRABORTY, Subrata, TAN, Ru-San, MOLINARI, Filippo and ACHARYA, U Rajendra (2022). Application of photoplethysmography signals for healthcare systems: an in-depth review. Computer Methods and Programs in Biomedicine, 216.

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Official URL: https://www.sciencedirect.com/science/article/pii/...
Link to published version:: https://doi.org/10.1016/j.cmpb.2022.106677
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    Abstract

    Background and objectives Photoplethysmography (PPG) is a device that measures the amount of light absorbed by the blood vessel, blood, and tissues, which can, in turn, translate into various measurements such as the variation in blood flow volume, heart rate variability, blood pressure, etc. Hence, PPG signals can produce a wide variety of biological information that can be useful for the detection and diagnosis of various health problems. In this review, we are interested in the possible health disorders that can be detected using PPG signals. Methods We applied PRISMA guidelines to systematically search various journal databases and identified 43 PPG studies that fit the criteria of this review. Results Twenty-five health issues were identified from these studies that were classified into six categories: cardiac, blood pressure, sleep health, mental health, diabetes, and miscellaneous. Various routes were employed in these PPG studies to perform the diagnosis: machine learning, deep learning, and statistical routes. The studies were reviewed and summarized. Conclusions We identified limitations such as poor standardization of sampling frequencies and lack of publicly available PPG databases. We urge that future work should consider creating more publicly available databases so that a wide spectrum of health problems can be covered. We also want to promote the use of PPG signals as a potential precision medicine tool in both ambulatory and hospital settings.

    Item Type: Article
    Additional Information: ** Article version: AM ** Embargo end date: 06-02-2023 ** From Elsevier via Jisc Publications Router ** Licence for AM version of this article starting on 06-02-2023: http://creativecommons.org/licenses/by-nc-nd/4.0/ **Journal IDs: issn 01692607 **History: issued 30-04-2022; published_online 06-02-2022; accepted 30-01-2022
    Identification Number: https://doi.org/10.1016/j.cmpb.2022.106677
    SWORD Depositor: Colin Knott
    Depositing User: Colin Knott
    Date Deposited: 10 Feb 2022 11:38
    Last Modified: 10 Feb 2022 11:38
    URI: http://shura.shu.ac.uk/id/eprint/29716

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