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Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F20%3A00525162" target="_blank" >RIV/68081731:_____/20:00525162 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26220/20:PU136590

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/abs/pii/S1746809420300847" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S1746809420300847</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.bspc.2020.101928" target="_blank" >10.1016/j.bspc.2020.101928</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone

  • Original language description

    Smartphones can be used as multifunctional devices for instant monitoring of the users' health. In this study, we proposed methods for the estimation of heart rate (HR), blood oxygen saturation (SpO(2)), and blood pressure (BP). Two smartphone sensors were used for data recording: the rear camera and the microphone. Our approach for HR and SpO(2) estimation was based on creating a photoplethysmogram (PPG) from the camera data. SpO(2) estimation was improved and the smartphone quantum efficiency did not have to be known. BP was estimated using the pulse transit time value calculated from the PPG and phonocardiogram (PCG) recorded using the microphone. Fifty records (for HR and SpO(2)) and 15 records (for BP) were sensed and used for training and testing purposes. An Android (TM) application was developed to provide audio-visual feedback to the measured subject, to indicate whether the placement of the smartphone was appropriate to provide signals of sufficient quality for BP estimation. The mean absolute errors (MAE) were 1.1% for SpO(2) and 1.4 beats per minute (bpm) for HR estimation using the testing dataset. MAE of systolic and diastolic BP were 5.1 mmHg and 7.5 mmHg, respectively. The possibility of using the smartphone as a fast alternative to conventional and specialized devices for SpO(2), HR, and BP estimation was statistically proven.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Biomedical Signal Processing and Control

  • ISSN

    1746-8094

  • e-ISSN

  • Volume of the periodical

    59

  • Issue of the periodical within the volume

    MAY

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    10

  • Pages from-to

    101928

  • UT code for WoS article

    000528276200035

  • EID of the result in the Scopus database

    2-s2.0-85081032142