<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/BAEE7402-055B-48F2-AB33-D059BC64E431" ns1:id="BAEE7402-055B-48F2-AB33-D059BC64E431"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/CAEB0A58-4ED8-492F-97A1-BDBF2C127114" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/F6E3A733-46C1-4D47-9FB7-B4D6F9869E9B" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/F6E3A733-46C1-4D47-9FB7-B4D6F9869E9B" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2020-08-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/1021E4DF-14AC-4E89-9AA3-F7C09A470085" ns1:rel="FUND" ns1:start="2020-05-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">56573</ns2:identifier></ns2:identifiers><ns2:title>Using daily heart rate variability measures to identify the onset &amp;amp; severity of COVID-19</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Feasibility Studies</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>This project will assess whether app-based products used by sportspeople and others to measure their fatigue and tiredness can be used to detect the onset and severity of coronavirus, COVID-19\. We will undertake analysis of existing app-user databases to assess whether information, such as average heart rate and the beat-to-beat changes in heart rate, so-called heart rate variability (HRV), change before the onset of COVID-19 symptoms.

We will recruit existing app-users who have had COVID-19 (or symptoms of COVID-19) to volunteer their data for analysis. Volunteers will also complete a questionnaire about their COVID-19 symptoms. We will analyse the data to see if heart rate and/or HRV could be used to improve detection of COVID-19\.</ns2:abstractText></ns2:project>