Cardiovascular Physiological Signal Recording Project

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.

Study Overview

• Status: Recruiting
• Conditions: Cardiovascular Physiological Signal

Detailed Description

This is an observational study. The physiological signal collected includes blood pressure, pulse rate, respiratory rate, SaO2, cardiac rhythm. PPG signals will be extracted from dedicated devices such as commercially available SaO2 monitors. Remote PPG signals will be collected if patient consent for video recording.

Patient demographic data, including age, sex, past medical history, medication history, body weight and height, etc, may be collected to validate training of this model.

After collection of these data, machine learning approach will be used to analyze these recordings and correlate them with PPG and rPPG data.

After their enrollment, during the duration of the study, patient's electronic record may be accessed in the next 5 years to explore any association of PPG or rPPG signals and long term outcome.

• Study Type: Observational
• Enrollment (Estimated): 198

Contacts and Locations

• Study Contact: Name: Tsz Kin Mark Tam; Phone Number: 852 35051750; Email: marktam@cuhk.edu.hk

Study Locations

• Hong Kong
  • Hong Kong, Hong Kong
    • Recruiting
    • Prince of Wales Hospital
    • Contact: Tammy Yeung; Phone Number: 852 35051750; Email: tammyooyeung@cuhk.edu.hk

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult; Older Adult
• Accepts Healthy Volunteers: No

• Sampling Method: Non-Probability Sample

Study Population

Patients in Prince of Wales Hospital

Description

Inclusion Criteria:

1. Patients > 18 years old
2. Has a known medical disease
3. Able to comply with recording of physiological signals

Exclusion Criteria:

1. Patients who are not able to provide informed consent

Study Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort
Recording of PPG and rPPG; The physiological signal collected includes blood pressure, pulse rate, respiratory rate, SaO2, cardiac rhythm. PPG signals will be extracted from dedicated devices such as commercially available SaO2 monitors. Remote PPG signals will be collected if patient consent for video recording.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Development of a model using PPG and rPPG	To develop a model using PPG and rPPG to accurately measure physiological signals	through study completion, an average of 4 years

Collaborators and Investigators

• Sponsor: Chinese University of Hong Kong

Study record dates

Study Major Dates

• Study Start (Actual): May 14, 2025
• Primary Completion (Estimated): March 1, 2029
• Study Completion (Estimated): March 1, 2030

Study Registration Dates

• First Submitted: June 13, 2025
• First Submitted That Met QC Criteria: June 24, 2025
• First Posted (Estimated): June 25, 2025

Study Record Updates

• Last Update Posted (Estimated): June 25, 2025
• Last Update Submitted That Met QC Criteria: June 24, 2025
• Last Verified: June 1, 2025

More Information

Terms related to this study

• Other Study ID Numbers: PPG study

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No