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-19Known Financial Commitments (USD)
$6,966.66Funder
Decanato de Pesquisa e Inovação - Universidade de Brasilia (DPI)Principal Investigator
Unspecified Genaína Nunes RodriguesResearch Location
BrazilLead Research Institution
N/AResearch 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.