{"title":"血糖光学生物植入物:初步设计指南","authors":"A. Trabelsi, M. Boukadoum, M. Siaj","doi":"10.1109/BIOCAS.2010.5709593","DOIUrl":null,"url":null,"abstract":"A preliminary investigation into the design of a near-infrared (NIR) optical bio-implant for accurate measurement of blood glucose concentration is reported. The use of an array of electrically pumped vertical-cavity surface-emitting laser (VCSEL) diodes at specific wavelengths for high-power narrow single-frequency emission leads to a high signal-to-noise ratio (SNR) in the measured NIR absorption spectrum while maximizing the sensor's sensitivity to small absorption changes. A Quantum well infrared (QWI) photodetector senses the received optical power after passage through the blood sample, followed by an artificial neural network (ANN) for the measurement of glucose in a whole blood matrix. For an independent test set made with bovine blood, the optimal ANN topology for processing the two selected spectral bands yielded a standard error of prediction of 0.42 mM (i.e., 7.56 mg/dl) over the concentration range of 4–20 mM.","PeriodicalId":440499,"journal":{"name":"2010 Biomedical Circuits and Systems Conference (BioCAS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Blood glucose optical bio-implant: Preliminary design guidelines\",\"authors\":\"A. Trabelsi, M. Boukadoum, M. Siaj\",\"doi\":\"10.1109/BIOCAS.2010.5709593\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A preliminary investigation into the design of a near-infrared (NIR) optical bio-implant for accurate measurement of blood glucose concentration is reported. The use of an array of electrically pumped vertical-cavity surface-emitting laser (VCSEL) diodes at specific wavelengths for high-power narrow single-frequency emission leads to a high signal-to-noise ratio (SNR) in the measured NIR absorption spectrum while maximizing the sensor's sensitivity to small absorption changes. A Quantum well infrared (QWI) photodetector senses the received optical power after passage through the blood sample, followed by an artificial neural network (ANN) for the measurement of glucose in a whole blood matrix. For an independent test set made with bovine blood, the optimal ANN topology for processing the two selected spectral bands yielded a standard error of prediction of 0.42 mM (i.e., 7.56 mg/dl) over the concentration range of 4–20 mM.\",\"PeriodicalId\":440499,\"journal\":{\"name\":\"2010 Biomedical Circuits and Systems Conference (BioCAS)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Biomedical Circuits and Systems Conference (BioCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIOCAS.2010.5709593\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Biomedical Circuits and Systems Conference (BioCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIOCAS.2010.5709593","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A preliminary investigation into the design of a near-infrared (NIR) optical bio-implant for accurate measurement of blood glucose concentration is reported. The use of an array of electrically pumped vertical-cavity surface-emitting laser (VCSEL) diodes at specific wavelengths for high-power narrow single-frequency emission leads to a high signal-to-noise ratio (SNR) in the measured NIR absorption spectrum while maximizing the sensor's sensitivity to small absorption changes. A Quantum well infrared (QWI) photodetector senses the received optical power after passage through the blood sample, followed by an artificial neural network (ANN) for the measurement of glucose in a whole blood matrix. For an independent test set made with bovine blood, the optimal ANN topology for processing the two selected spectral bands yielded a standard error of prediction of 0.42 mM (i.e., 7.56 mg/dl) over the concentration range of 4–20 mM.