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dc.contributor.authorPirzada, Pireh
dc.contributor.authorMorrison, David
dc.contributor.authorDoherty, Gayle Helane
dc.contributor.authorDhasmana, Devesh J
dc.contributor.authorHarris-Birtill, David Cameron Christopher
dc.date.accessioned2022-07-01T09:30:04Z
dc.date.available2022-07-01T09:30:04Z
dc.date.issued2022-06-30
dc.identifier280273130
dc.identifier1aac2c84-6b4b-40e5-872b-f469550ddc15
dc.identifier35808469
dc.identifier85133668635
dc.identifier000823951100001
dc.identifier35808469
dc.identifier.citationPirzada , P , Morrison , D , Doherty , G H , Dhasmana , D J & Harris-Birtill , D C C 2022 , ' Automated Remote Pulse Oximetry System (ARPOS) ' , Sensors , vol. 21 , no. 13 , 4974 . https://doi.org/10.3390/s22134974en
dc.identifier.issn1424-8220
dc.identifier.otherORCID: /0000-0003-3494-5857/work/115309116
dc.identifier.otherORCID: /0000-0002-0740-3668/work/115309465
dc.identifier.otherPubMedCentral: PMC9269826
dc.identifier.otherORCID: /0000-0001-5502-9773/work/136696660
dc.identifier.urihttps://hdl.handle.net/10023/25597
dc.descriptionFunding: This research is funded by the School of Computer Science and by St Leonard’s Postgraduate College Doctoral Scholarship, both at the University of St Andrews for Pireh Pirzada’s PhD. Early work was funded by the Digital Health & Care Innovation Centre (DHI).en
dc.description.abstractCurrent methods of measuring heart rate (HR) and oxygen levels (SPO2) require physical contact, are individualised, and for accurate oxygen levels may also require a blood test. No-touch or non-invasive technologies are not currently commercially available for use in healthcare settings. To date, there has been no assessment of a system that measures HR and SPO2 using commercial off-the-shelf camera technology that utilises R, G, B and IR data. Moreover, no formal remote photoplethysmography studies have been done in real life scenarios with participants at home with different demographic characteristics. This novel study addresses all these objectives by developing, optimising, and evaluating a system that measures the HR and SPO2 of 40 participants. HR and SPO2 are determined by measuring the frequencies from different wavelength band regions using FFT and radiometric measurements after pre-processing face regions of interest (forehead, lips, and cheeks) from Colour, IR and Depth data. Detrending, interpolating, hamming, and normalising the signal with FastICA produced the lowest RMSE of 7.8 for HR with the r-correlation value of 0.85 and RMSE 2.3 for SPO2. This novel system could be used in several critical care settings, including in care homes and in hospitals and prompt clinical intervention as required.
dc.format.extent44
dc.format.extent11801012
dc.language.isoeng
dc.relation.ispartofSensorsen
dc.subjectRemote health monitoringen
dc.subjectHeart rate measurementen
dc.subjectBlood oxygenation level measurementen
dc.subjectrPPG systemen
dc.subjectR Medicineen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectDASen
dc.subjectMCCen
dc.subject.lccRen
dc.subject.lccQA75en
dc.titleAutomated Remote Pulse Oximetry System (ARPOS)en
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.contributor.institutionUniversity of St Andrews. Centre for Biophotonicsen
dc.contributor.institutionUniversity of St Andrews. School of Psychology and Neuroscienceen
dc.contributor.institutionUniversity of St Andrews. Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Infection and Global Health Divisionen
dc.identifier.doi10.3390/s22134974
dc.description.statusPeer revieweden


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