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Validation of an Algorithm to Predict the Ventilatory Threshold

NCT04929431 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 3000

Last updated 2021-06-18

No results posted yet for this study

Summary

The aim of the current study was to develop an algorithm which has the ability to accurately predict the first and second ventilatory threshold and in cardiovascular disease patients and to guide in proper exercise intensity determination. This would then help, at least in part, to overcome the lack of access to metabolic carts or cardiopulmonary exercise test, and/or methodological difficulties with ventilatory threshold determination in these patients.

Conditions

Sponsors & Collaborators

  • University of Brasilia

    collaborator OTHER

  • University of Bern

    collaborator OTHER

  • Universitaire Ziekenhuizen KU Leuven

    collaborator OTHER

  • University of Siena

    collaborator OTHER

  • Technical University of Munich

    collaborator OTHER

  • Hasselt University

    lead OTHER

Principal Investigators

  • Dominique Hansen, Prof.dr · Hasselt University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-03-01
Primary Completion
2021-03-30
Completion
2021-04-01

Countries

  • Belgium

Study Locations

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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 NCT04929431 on ClinicalTrials.gov