Validation Study of Selfie Technology for Assessment of Vital Signs
NCT ID: NCT04688112
Last Updated: 2023-09-07
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
300 participants
OBSERVATIONAL
2022-03-28
2024-09-30
Brief Summary
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Detailed Description
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The signal from PPG is proportional to the quantity of blood flowing through the blood vessels and even small changes in blood volume can be detected using this method. Analysis of the waveform can provide information on a range of physiological measurements affecting the cardiovascular and respiratory systems. PPG is widely used in medicine in the form of pulse oximeters using sensors applied to peripheral digits.
Recently, it has been shown that PPG data can be obtained using images acquired from videos taken using the camera on smartphones and there is now a significant and growing body of published literature to support this.
DocMe Health Technologies has developed a system of obtaining these data using a 15 second video selfie.
At this time, the technology has been shown to be reasonably accurate when compared to home devices in healthy subjects. However, to make the technology more widely useful, the results obtained by video selfies need to be formally validated.
The aim of the study therefore is to compare measurements obtained from video selfies with measurements taken using already validated machines in the same patients.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Participants must be willing and able to give informed consent for participation in the study, and considered fit for the study by the nurse.
18 Years
100 Years
ALL
Yes
Sponsors
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Oxford University Hospitals NHS Trust
OTHER
DocMe Technologies Ltd
INDUSTRY
Responsible Party
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Principal Investigators
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Alex T Novak, MRCGP FRCEM
Role: PRINCIPAL_INVESTIGATOR
Oxford University Hospitals NHS Trust
Locations
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Oxford University Hospitals NHS Foundation Trust
Oxford, Oxfordshire, United Kingdom
Countries
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References
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Barszczyk A, Lee K. Measuring Blood Pressure: from Cuff to Smartphone. Curr Hypertens Rep. 2019 Oct 10;21(11):84. doi: 10.1007/s11906-019-0990-3.
Luo H, Yang D, Barszczyk A, Vempala N, Wei J, Wu SJ, Zheng PP, Fu G, Lee K, Feng ZP. Smartphone-Based Blood Pressure Measurement Using Transdermal Optical Imaging Technology. Circ Cardiovasc Imaging. 2019 Aug;12(8):e008857. doi: 10.1161/CIRCIMAGING.119.008857. Epub 2019 Aug 6.
Chowdhury MH, Shuzan MNI, Chowdhury MEH, Mahbub ZB, Uddin MM, Khandakar A, Reaz MBI. Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques. Sensors (Basel). 2020 Jun 1;20(11):3127. doi: 10.3390/s20113127.
Humphreys K, Ward T, Markham C. Noncontact simultaneous dual wavelength photoplethysmography: a further step toward noncontact pulse oximetry. Rev Sci Instrum. 2007 Apr;78(4):044304. doi: 10.1063/1.2724789.
Kong L, Zhao Y, Dong L, Jian Y, Jin X, Li B, Feng Y, Liu M, Liu X, Wu H. Non-contact detection of oxygen saturation based on visible light imaging device using ambient light. Opt Express. 2013 Jul 29;21(15):17464-71. doi: 10.1364/OE.21.017464.
Other Identifiers
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PRFX-2020-01-DocMe
Identifier Type: -
Identifier Source: org_study_id
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