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Innovations and Interdisciplinary Solutions for Underserved Areas. 6th EAI International Conference, InterSol 2023, Flic en Flac, Mauritius, September 16-17, 2023, Proceedings

Research Article

F4PW: Fog Computer for Pregnant Women

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  • @INPROCEEDINGS{10.1007/978-3-031-51849-2_25,
        author={Amy Sene and Ibrahima Niang and Alassane Diop and Assane Gueye},
        title={F4PW: Fog Computer for Pregnant Women},
        proceedings={Innovations and Interdisciplinary Solutions for Underserved Areas. 6th EAI International Conference, InterSol 2023, Flic en Flac, Mauritius, September 16-17, 2023, Proceedings},
        proceedings_a={INTERSOL},
        year={2024},
        month={2},
        keywords={Network Biosensors Health F4PW Fog Computing WBAN},
        doi={10.1007/978-3-031-51849-2_25}
    }
    
  • Amy Sene
    Ibrahima Niang
    Alassane Diop
    Assane Gueye
    Year: 2024
    F4PW: Fog Computer for Pregnant Women
    INTERSOL
    Springer
    DOI: 10.1007/978-3-031-51849-2_25
Amy Sene,*, Ibrahima Niang, Alassane Diop, Assane Gueye
    *Contact email: amy.sene@uadb.edu.sn

    Abstract

    Maternal health is very important for healthy and productive populations. Women need access to high quality care during pregnancy. With the significant advance of technology, the use of IoT (Internet of Things) can be a mean to provide a medical quality system. Our paper presents a new architecture called F4PW (Fog for Pregnant Woman). F4PW is inspired from Fog Computing and uses the Wireless Body Area Networks (WBANs). The purpose of this new architecture is to provide an end-to-end real-time remote monitoring to pregnant women during the pregnancy period. Medical applications cannot tolerate high latency and should be reliable at any time. F4PW provides functionality for quickly processing, analyzing and transmission of collected data.

    Keywords
    Network Biosensors Health F4PW Fog Computing WBAN
    Published
    2024-02-02
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-031-51849-2_25
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