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Comparing Remote Heart Rate Accuracy Using Different Wavelengths

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dc.contributor.authorRavindran S.en_US
dc.contributor.authorWeng L.Y.en_US
dc.contributor.authorSalleh Bin Mohamed Sahari K.en_US
dc.contributor.authorAnuar A.B.en_US
dc.contributor.authorAbdul Jalal M.F.B.en_US
dc.contributor.authorBin Mohamad Rafaai Z.F.en_US
dc.contributor.authorNaidu A-P Raventhran P.en_US
dc.contributor.authorMohd Radzi H.B.en_US
dc.contributor.authorYussof S.en_US
dc.contributor.authorid57361613900en_US
dc.contributor.authorid26326032700en_US
dc.contributor.authorid57218170038en_US
dc.contributor.authorid13609166500en_US
dc.contributor.authorid57218163299en_US
dc.contributor.authorid57218873528en_US
dc.contributor.authorid57447688400en_US
dc.contributor.authorid57361547000en_US
dc.contributor.authorid16023225600en_US
dc.date.accessioned2023-05-29T09:09:54Z
dc.date.available2023-05-29T09:09:54Z
dc.date.issued2021
dc.descriptionBiomedical signal processing; Blood; Blood vessels; Heart; Hemodynamics; Image processing; Patient monitoring; Processing; Heart rate; Heart rate variability; Heart-rate; Heart-rate monitoring; Photoplethysmography; Remote-heart rate; Remote-photoplethysmography; RGB;; Photoplethysmographyen_US
dc.description.abstractRemote Heart Rate monitoring is a method of measuring Heart Rates using remote-Photoplethysmography signals obtained from image and signal processing. A set of facial images are collected and processed to extract the RGB values which varies due to the change. in blood volume in the blood vessels relative to respiration. Researchers have found multiple method of extracting the r-PPG signal, some have opted for specialized cameras while some uses advanced signal processing methods. Besides hardware and software chooses, researchers also have been debating on the three different wavelengths, Red, Green and Blue. This paper compares the Red, Green and Blue wavelengths from 20 set of pictures to study the best wavelength to be used for RHR measurements. The Heart rate from the 3 wavelengths is calculated and compared with a baseline HR. This paper introduces a RHR measuring system by comparing all 3 wavelengths, Red, Green and Blue with an average mean error of 11.7779%, 6.0633% and 8.6780% respectively introducing the green wavelength as the best wavelength for RHR monitoring. � 2021 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/SCOReD53546.2021.9652720
dc.identifier.epage349
dc.identifier.scopus2-s2.0-85124428569
dc.identifier.spage345
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85124428569&doi=10.1109%2fSCOReD53546.2021.9652720&partnerID=40&md5=475af4eb5326c4637783c95fbb1c178c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26393
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle19th IEEE Student Conference on Research and Development: Sustainable Engineering and Technology towards Industry Revolution, SCOReD 2021
dc.titleComparing Remote Heart Rate Accuracy Using Different Wavelengthsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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