Predictive Remote Photoplethysmography Algorithm for Blood Pressure Pressure Assessment and Monitoring
Development of Predictive Remote Photoplethysmography Algorithm for Blood Pressure Assessment and Monitoring
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
This is a prospective, feasibility study.Background literature has shown that plethysmography (PPG) signals can be used to estimate blood pressure through the creation and training of a predictive model. By examining and extracting key features of a continuous PPG waveform by training an artificial neural network, correlations between these features and blood pressure can be studied.
Nervotec, a digital health and AI company , has successfully used rPPG technology to allow for collection of rPPG waveforms, which enables the measurement of heart rate (HR), heart rate variability (HRV), respiration rate (RR) and blood oxygen saturation (SpO2) level through signal processing techniques. They have incorporated rPPG technology into a mobile application using smartphone cameras for scanning an individual's face. However, this is yet to be established for blood pressure. We aim to perform a prospective study to evaluate the feasibility and accuracy of obtaining blood pressure measurements through rPPG.
Hypothesis: Remote photoplethysmography can be used to determine blood pressure and this algorithm can develop into a customised smartphone based application.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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-
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Singapore, Singapore, 169608
- Recruiting
- Singapore General Hospital
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Contact:
- Hairil Rizal Abdullah
- Phone Number: 63265428
- Email: hairil.rizal.abdullah@singhealth.com.sg
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Principal Investigator:
- Hairil Rizal Abdullah
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Sub-Investigator:
- Jia Xin Chai
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Age ≥ 21 years old
- Ability to provide informed consent
- Any surgery except head and neck surgeries
Exclusion Criteria:
- Age ≤ 21 years old
- Inability to provide informed consent
- Patients going for head and neck surgery
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
To determine the correlation between remote photoplethysmography (rPPG) and blood pressure variations.
Time Frame: 1 year
|
1 year
|
|
To develop a predictive model in using rPPG for determination of blood pressure.
Time Frame: 1 year
|
1 year
|
|
To validate this predictive model by comparing blood pressure readings obtained using rPPG with standard procedures such as contact sensors and automated oscillometry.
Time Frame: 1 year
|
1 year
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- Predictbloodpressure
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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