IDEAS home Printed from https://ideas.repec.org/a/epw/ejece0/v5y2021i1id19273.html

Remote Monitoring Technology for COVID-19 Patients

Author

Listed:
  • Prakash Kanade

    (Artificial Intelligence, USA)

  • Monis Akhtar

    (Cambridge Institute of Technology, India)

  • Fortune David

    (LeenaBOT Robotics, USA)

Abstract

Human beings have adapted to a new way of life, from an open society to a closed world. Covid19 has brought many changes to the way people live, social distance and minimal to no contact are our goals. This could have been impossible if we were not surrounded by technology. This Perspective offers a context for the implementation of Remote Technologies, demonstrating the forms in which pandemic preparation, monitoring, research, tracking, and Health Care Technologies are effectively implemented. Our research is focused on providing a solution for handling patients at health facilities with the help of remote technologies keeping in mind the importance of social distancing and minimum to no contact to minimize the spread of the virus. The strategy is to identify the two fronts where contact with a patient is to be made. The first front is the point at which a patient needs to be detected and classified as a potential risk, at this stage the technology needs to identify the patient's symptoms, gather relevant data, and help doctors build a portfolio. The second front is where an admitted patient needs to be monitored and taken care of with regular check-ups, the technology should also take good of the patient’s mental health. The paper proposes a solution to device remote technologies that could prove beneficial in the fight against the deadly coronavirus.

Suggested Citation

  • Prakash Kanade & Monis Akhtar & Fortune David, 2021. "Remote Monitoring Technology for COVID-19 Patients," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 5(1), pages 44-47, January.
  • Handle: RePEc:epw:ejece0:v:5:y:2021:i:1:id:19273
    DOI: 10.24018/ejece.2021.5.1.273
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejece/article/view/19273
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejece/article/download/19273/11150
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejece.2021.5.1.273?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejece0:v:5:y:2021:i:1:id:19273. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejece .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.