{"title":"Can Camera-PPG Imaging be Used to Measure Perfusion Index?","authors":"Zhiyuan Xu, Yukai Huang, Ningbo Zhao, Jia Huang, Hongzhou Lu, Wenjin Wang","doi":"10.1109/EMBC53108.2024.10781667","DOIUrl":null,"url":null,"abstract":"<p><p>The perfusion index (PI) is widely used in the medical field to assess the peripheral perfusion of skin tissues. Recent advancements in camera photoplethysmography (camera-PPG) permits robust measurement of heart-rate remotely, but its feasibility on PI measurement was not thoroughly investigated. In this study, we investigated the feasibility of using AC/DC of camera-PPG signals to calibrate PI based on a generalized or personalized regression model, through an ice water stimulation experiment. The results indicate that the coefficient of determination (R<sup>2</sup>) for personalized modeling is as high as 83%. But for the generalized modeling, the R<sup>2</sup> is negative even though the camera-PPG waveforms are of high-quality. This suggests that there is a strong subject-dependency on PI calibration which may due to skin properties of camera-PPG measurement, and such issue must be considered for designing methods for contactless PI measurement.</p>","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":"2024 ","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMBC53108.2024.10781667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The perfusion index (PI) is widely used in the medical field to assess the peripheral perfusion of skin tissues. Recent advancements in camera photoplethysmography (camera-PPG) permits robust measurement of heart-rate remotely, but its feasibility on PI measurement was not thoroughly investigated. In this study, we investigated the feasibility of using AC/DC of camera-PPG signals to calibrate PI based on a generalized or personalized regression model, through an ice water stimulation experiment. The results indicate that the coefficient of determination (R2) for personalized modeling is as high as 83%. But for the generalized modeling, the R2 is negative even though the camera-PPG waveforms are of high-quality. This suggests that there is a strong subject-dependency on PI calibration which may due to skin properties of camera-PPG measurement, and such issue must be considered for designing methods for contactless PI measurement.