An interventional study of rPPG in Remote Photoplethysmography , Blood Pressure, sponsored by Singapore General Hospital. Recruiting at 1 site in Singapore. Open to participants aged 21 Years to 100 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-03-20.
Sponsored by Singapore General Hospital · Not applicable, Interventional, and Health services research
Significant advancements in the field of medical technologies have resulted in the rise of contact-free methods of haemodynamic monitoring. Remote photoplethysmography (rPPG) is a videobased, contactless form of monitoring that operates through a camera-enabled device. This innovation interprets minute variations in skin colour due to blood flow which, when analysed with complex signal processing algorithms, generates vital sign readings. Currently, Nervotec's rPPG technology allows for the collection of rPPG waveforms, which enables the measurement of heart rate, heart rate variability, respiration rate and blood oxygen saturation (SpO2) level through signal processing techniques. The plethysmography 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 BP can be studied.
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.
Singapore General Hospital is the lead sponsor of 266 studies on the registry; 57 are open to participants now.
Of its 8 completed or terminated interventional studies of FDA-regulated products, 0 (0%) have results posted.
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Exclusion Criteria:
A pulse oximeter and blood pressure cuff will be applied on the study patient by the study team member (research coordinators). At the same time, vital signs from Nervotec's rPPG technology will be recorded via the laptop and webcam. Synchronous measurement process of heart rate, respiration rate, pulse oximetry, heart rate variability and blood pressure estimates using Nervotec rPPG technology will take place for a duration of 3 minutes.
To determine the correlation between remote photoplethysmography (rPPG) and blood pressure variations.
Time frame: 1 year
To develop a predictive model in using rPPG for determination of blood pressure.
Time frame: 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
Eligibility is decided by the study team. Share this record with your doctor or contact the team directly.
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