Implementation of a Body Sensor Network for the remote and efficient diagnosis of patients with COVID-19

  • Funded by Decanato de Pesquisa e Inovação - Universidade de Brasilia (DPI)
  • Total publications:0 publications

Grant number: 1036602

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Key facts

  • Disease

    COVID-19
  • Known Financial Commitments (USD)

    $6,966.66
  • Funder

    Decanato de Pesquisa e Inovação - Universidade de Brasilia (DPI)
  • Principal Investigator

    Unspecified Genaína Nunes Rodrigues
  • Research Location

    Brazil
  • Lead Research Institution

    N/A
  • Research Priority Alignment

    N/A
  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Supportive care, processes of care and management

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

One of the current problems due to the crisis caused by COVID-19 is the overcrowding of hospitals and medical centers. One way to get around such a problem could be to make it possible to monitor patients' vital signs from a distance through a robust infrastructure that allows doctors to monitor their patients remotely. Improvements in wireless communications, sensor design, and energy storage technologies have enabled the creation of truly pervasive wireless sensor networks. Combining these concepts with advances in biomedicine research, it makes possible the creation of integrated devices for monitoring vital signs through the well-known Body Sensor Networks (BSN). The main objective of a BSN is to continuously monitor an individual's vital signs, adjusting its configuration according to the patient's risk status. This project has as main objective to implement a BSN as an application with support of sensors with support to monitoring of vital signs to assist, in particular, the diagnosis and monitoring of patients with COVID-19 in a simple way, with low cost, and thus helping to prevent the collapse of the medical-hospital system.