{"title":"Using video magnification approach directly to extract heart-beat","authors":"Jui-Lin Lai, Shin-Chia Tsai, Rong-Sheng Lin, Shin-Yi Huang","doi":"10.1109/ICASI.2016.7539815","DOIUrl":null,"url":null,"abstract":"In the paper, the non-invasive body bio-information sensor with Video color Magnification (VM) image processing approach to extract the value of heart-beat is proposed. Implementing the video color magnification algorithm to execute the very small variation of the color in the cached video images is magnified. Measurement result shows that the value of heart-beat is calculated the times of the alternately variation between the high and low than the average value for the intension of the processed images during a constant time. The accuracy of measured data is reach 98% compared with the consumer equipment. The proposed bio-sensor system can be integrated the wireless and internet to connect the detection platform for the health diagnosis and health-care with remote-sensing applications will save medical resource given human with the better life quality.","PeriodicalId":170124,"journal":{"name":"2016 International Conference on Applied System Innovation (ICASI)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Applied System Innovation (ICASI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASI.2016.7539815","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
In the paper, the non-invasive body bio-information sensor with Video color Magnification (VM) image processing approach to extract the value of heart-beat is proposed. Implementing the video color magnification algorithm to execute the very small variation of the color in the cached video images is magnified. Measurement result shows that the value of heart-beat is calculated the times of the alternately variation between the high and low than the average value for the intension of the processed images during a constant time. The accuracy of measured data is reach 98% compared with the consumer equipment. The proposed bio-sensor system can be integrated the wireless and internet to connect the detection platform for the health diagnosis and health-care with remote-sensing applications will save medical resource given human with the better life quality.
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