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Cardiovascular Physiological Signal Recording Project

NCT07035795 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 198

Last updated 2025-06-25

No results posted yet for this study

Summary

Vital sign monitoring is important for patients, especially those with underlying cardiovascular diseases. Traditional monitoring including SaO2, blood pressure, pulse, rhythm monitoring can be cumbersome, with wires and cuff attached to a patient. This can lead to reduced compliance, especially in uncooperative patients or young kids. The use of photoplethysmography (PPG) is simple and is widely used clinically to achieve continuous monitoring of SaO2, respiratory rate and pulse rate. PPG also contains important physiological signals that can correlate with blood pressure.

Remote PPG (rPPG) with can be collected by cameras. This is being developed to achieve contactless monitoring. Theoretically, by analyzing video recording, the fluctuation of intensity of lights reflected from patients' body surface can be measured. Physiological parameters such as heart rate, SaO2, and blood pressure can then be calculated. However, because of environmental signal contamination, motion artefacts and other limitations, rPPG remains inaccurate for routine clinical use. To improve accuracy of PPG recordings, machine learning approach has been attempted. This study aims to gather physiological data from patients to train these models.

Conditions

  • Cardiovascular Physiological Signal

Sponsors & Collaborators

  • Chinese University of Hong Kong

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-05-14
Primary Completion
2029-03-31
Completion
2030-03-31

Countries

  • Hong Kong

Study Locations

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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 NCT07035795 on ClinicalTrials.gov