Jianming Yu, Yuchen He, Bin Li, Hui Chen, Huaibin Zheng, Jianbin Liu, Lifan Zhou, Yi Niu, Haodong Wu, Zhuo Xu
{"title":"Non-Contact Heart Rate Measurement Using Ghost Imaging System.","authors":"Jianming Yu, Yuchen He, Bin Li, Hui Chen, Huaibin Zheng, Jianbin Liu, Lifan Zhou, Yi Niu, Haodong Wu, Zhuo Xu","doi":"10.1002/jbio.202400517","DOIUrl":null,"url":null,"abstract":"<p><p>Remote heart rate measurement is an increasingly concerned research field, usually using remote photoplethysmography to collect heart rate information through video data collection. However, in certain specific scenarios (such as low light conditions, intense lighting, and non-line-of-sight situations), traditional methods fail to capture image information effectively, that may lead to difficulty or inability in measuring heart rate. To address these limitations, this study proposes non-contact heart rate detection based on ghost imaging architecture. The mean absolute error between experimental measurements and reference true values is 4.24 bpm. Additionally, the bucket signals obtained by the ghost imaging system can be directly processed using digital signal processing techniques, thereby enhancing personal privacy protection.</p>","PeriodicalId":94068,"journal":{"name":"Journal of biophotonics","volume":" ","pages":"e202400517"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of biophotonics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/jbio.202400517","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
Remote heart rate measurement is an increasingly concerned research field, usually using remote photoplethysmography to collect heart rate information through video data collection. However, in certain specific scenarios (such as low light conditions, intense lighting, and non-line-of-sight situations), traditional methods fail to capture image information effectively, that may lead to difficulty or inability in measuring heart rate. To address these limitations, this study proposes non-contact heart rate detection based on ghost imaging architecture. The mean absolute error between experimental measurements and reference true values is 4.24 bpm. Additionally, the bucket signals obtained by the ghost imaging system can be directly processed using digital signal processing techniques, thereby enhancing personal privacy protection.