ClinicalTrials.gg
Status unknownNCT06536647CAPTURE-1Updated Jan 16, 2025

Contactless Assessment of Patient Vital Signs for Triage Using Remote Photoplethysmography in the Emergency Department

An observational study in Photoplethysmography and Vital Signs, sponsored by The University of Hong Kong. Status unknown at 2 sites in Hong Kong. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2025-01-16.

Sponsored by The University of Hong Kong · Observational

The sponsor has not verified this record recently (last verified Jul 2024), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Cohort
Time perspective
Cross-sectional
Enrollment
1,200
Ages
18 Years and older
Sex
All
01

Study summary

Remote photoplethysmography (rPPG) is a camera-based method that enables contactless measurement of variation in light absorbance by haemoglobin as reflected by the changes in skin colour/pixel intensity unperceivable by human eyes. Beat-to-beat variation of light-absorbance can be used to estimate the change in the arterial blood volume underneath the skin and different vital signs including the blood pressure, heart rate, respiratory rate and oxygen saturation (SpO2) of the patient.

The investigators propose an observational prospective study to independently evaluate the accuracy of contactless vital sign measurements using a cell phone-based remote photoplethysmography (rPPG) technology. This study will recruit adult patients presenting to the Accident and Emergency Department (A\&E) of Queen Mary Hospital (QMH) between 1 August 2024 and 30 October 2024. The study will be divided into 2 stages. In the initial run-in period, the investigators will collect facial video data from 200 patients to calibrate the VitalsTM system in the A\&E environment. Then, the investigators will evaluate the accuracy of the VitalsTM in estimating vital signs of 1,000 ambulatory patients in the A\&E setting.

A trained research nurse and research assistant will be deployed from 09:00 to 17:00 on weekdays to screen for eligible patients in the A\&E waiting hall and to recruit patient participants throughout the study period. In this study, the investigators will only recruit triage category 3 (semi-urgent) to 5 (non-urgent) patients who are clinically stable and evaluate the performance of the VitalsTM in a designated room in A\&E. Written informed consent will be obtained from all patient participants after an explanation of the details of the study, including the rationale, benefits and risks of participation.

After informed consent, contactless and manual measurement of patient blood pressure, heart rate, respiratory rate, body temperature and SpO2 will be carried out simultaneously in a designated room in A\&E. A mounted light emitting diode (LED) will be used as the light source. Facial video of the patient participant will be captured using an iPhone, an iPad and a thermal camera placed at around 50 cm from the patient. A reference object for thermal and visual imaging will be placed at the background. Also, ambient temperature and light intensity will be measured.

The patient will be asked to sit down and remain still during video-recording. Manual measurement will be performed simultaneously by a trained research nurse or research assistant using standard hospital device or other medical-grade devices. A software program will be used to log vital sign measurements and recordings simultaneously so that data can be synchronised to reduce variations.

The primary outcome is the accuracy of the VitalsTM platform in estimating patient heart rate measured in intraclass correlation coefficient (ICC). The investigators will also measure of accuracy of the VitalsTM platform in estimating other vital signs, including blood pressure, respiratory rate, SpO2 and body temperature. The investigators will also evaluate patient satisfaction and comfort with the contactless and manual measurement techniques.

The accuracy of contactless measurement will be determined by calculating the ICC from the manual measurement readings as the ground truths. The investigators will also calculate the root mean square error (RMSE) and Pearson correlation between the contactless and manual measurement readings for individual vital signs. Altman Bland plot will be used to evaluate the bias and limits of agreement between two vital sign measurement methods.

02

Conditions studied

  • Photoplethysmography
  • Vital Signs

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Keywords

  • Photoplethysmography
  • Vital Signs
  • Emergency department
  • Triage
03

In context

Emergencies

1,721 studies on the registry are indexed under Emergencies; 335 are open to participants now.

This study's planned enrollment of 1,200 is above the median of 351 across 726 observational studies indexed under Emergencies.

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Lead sponsor

The University of Hong Kong is the lead sponsor of 1,286 studies on the registry; 343 are open to participants now.

Of its 9 completed or terminated interventional studies of FDA-regulated products, 0 (0%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Adult patients with a triage category 3 (semi-urgent) to 5 (non-urgent) rating who are clinically stable in the emergency department.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • age >/= 18 years
  • a valid written consent

Exclusion criteria

Exclusion Criteria:

  • age \< 18 years
  • refusal of consent/pre-existing mental illness rending consent impossible
05

Study design

Observational model
Cohort
Time perspective
Cross-sectional
Enrollment
1,200 participants (estimated)
Patient registry
No

Interventions

  • Diagnostic testContactless measurement of patient vital signs using the VitalsTM system

    Contactless measurement of the patient blood pressure, heart rate, respiratory rate, body temperature and SpO2 will be carried out using the VitalsTM platform based on facial video data.

06

What researchers measure

Primary outcomes

  1. The accuracy of patient heart rate estimation

    The accuracy of the VitalsTM platform in estimating patient heart rate measured in intraclass correlation coefficient compared to manual heart rate measurement

    Time frame: 0 hour post-manual measurement

Secondary outcomes

  1. The accuracy of patient systolic blood pressure estimation

    The accuracy of the VitalsTM platform in estimating patient non-invasive systolic blood pressure measured in intraclass correlation coefficient compared to manual systolic blood pressure measurement using a non-invasive cuff blood pressure device

    Time frame: 0 hour post-manual measurement

  2. The accuracy of patient diastolic blood pressure estimation

    The accuracy of the VitalsTM platform in estimating patient non-invasive diastolic blood pressure measured in intraclass correlation coefficient compared to manual diastolic blood pressure measurement using a non-invasive cuff blood pressure device

    Time frame: 0 hour post-manual measurement

  3. The accuracy of patient respiratory rate estimation

    The accuracy of the VitalsTM platform in estimating patient respiratory rate pressure measured in intraclass correlation coefficient compared to manual respiratory rate measurement

    Time frame: 0 hour post-manual measurement

  4. The accuracy of patient SpO2 estimation

    The accuracy of the VitalsTM platform in estimating patient SpO2 measured in intraclass correlation coefficient compared to manual SpO2 measurement using a pulse oximetry

    Time frame: 0 hour post-manual measurement

  5. The accuracy of patient body temperature estimation

    The accuracy of the VitalsTM platform in estimating patient body temperature measured in intraclass correlation coefficient compared to manual body temperature measurement using a thermometer

    Time frame: 0 hour post-manual measurement

  6. Patient satisfaction

    Patient satisfaction with the contactless and manual methods measured with a 10 cm visual analogue scale

    Time frame: Immediately after the measurements

  7. Patient comfort

    Patient comfort with the contactless and manual methods measured with a 10 cm visual analogue scale

    Time frame: Immediately after the measurements

07

Study locations

2 of 2 sites recruiting
  • Accident and Emergency Department, Queen Mary Hospital
    Hong Kong, None Selected, Hong Kong
    • Rex Pui Kin Lam, MBBS, FHKCEM · Contact · lampkrex@hku.hk · +85260140122
    Recruiting
  • Accident and Emergency Department, Queen Mary Hospital
    Hong Kong, Hong Kong
    • Rex Pui Kin Lam, MBBS, MPH · Contact · lampkrex@hku.hk · +85260140122
    • Rex Lam · Contact
    Recruiting
08

References and documents

Individual participant data

Plan to share: No — Facial video data cannot be shared with other researchers according to the local patient privacy ordinance. Vital signs data from different measurement methods can be shared with other researchers upon reasonable request and after additional approval from the institutional review board.

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jan 16, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06536647
Collaborators
PanopticAI
Responsible party
Sponsor
First posted
Aug 5, 2024
Start date
Sep 23, 2024
Primary completion
Dec 31, 2025 (estimated)
Completion
Dec 31, 2025 (estimated)
Last update
Jan 16, 2025

Study contacts

Rex Pui Kin Lam, MBBS, FHKCEM
Contact
lampkrex@hku.hk
852 39179413
Rex Pui Kin Lam, MBBS, FHKCEM
principal investigator · The University of Hong Kong

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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