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WAVE. Wearable-based COVID-19 Markers for Prediction of Clinical Trajectories

NCT04357834 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 46

Last updated 2021-08-26

No results posted yet for this study

Summary

The aim is to develop a wearable-based ICU (intensive care unit) prediction algorithm for inpatients contracted with SARS-CoV-2. Inpatients with suspicion of COVID-19 or with confirmed SARS-CoV-2 infection will be included. The participants will be equipped with a smartwatch, which gathers physiological data throughout hospitalisation.

Conditions

  • COVID
  • COVID 19
  • SARS-CoV 2

Interventions

OTHER

Equipment with smartwatch throughout hospital stay on the general ward

Participants with confirmed SARS-CoV-2 infection or suspicion of COVID-19 will be equipped with a smartwatch and wear the device throughout the hospital stay on the general ward.

Sponsors & Collaborators

  • ETH Zurich

    collaborator OTHER

  • Insel Gruppe AG, University Hospital Bern

    lead OTHER

Principal Investigators

  • Aristomenis Extradaktylos, Prof. MD · University Hospital Bern - Department of Emergency Medicine

Eligibility

Min Age
18 Years
Max Age
120 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-10-22
Primary Completion
2021-06-30
Completion
2021-06-30

Countries

  • Switzerland

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04357834 on ClinicalTrials.gov