{"title":"介电光谱无创连续血糖监测","authors":"J. Burd","doi":"10.19080/crdoj.2020.14.555897","DOIUrl":null,"url":null,"abstract":"The Alertgy noninvasive continuous blood glucose monitor (NICBGM) is a novel wristband device that reports glucose levels without any entailing skin puncture. This study evaluated the performance of this device compared with an FDA-approved glucose meter in patients with type 2 diabetes. Methods: The Alertgy DeepGluco NICBGM device measures changes in the dielectric spectrum it collects specific to blood glucose levels three times a minute. This spectral data is analyzed by using neural network analysis, machine learning and then with a calibration process is used to generate algorithms to estimate blood glucose (BG) values once the system is calibrated to the individual. The Roche Accuchek Inform II glucometer was used as a reference technique for calibration and then to determine the accuracy of blood glucose determinations. 27 patients completed three or more 120-minute sessions. Mean absolute relative difference (MARD) was calculated on the data collected. Results: MARD values were compiled for two or more days of data collection following the first day of calibration. The MARD for all measurements was found to be 15.3. Conclusions: The resultant MARD suggest that this technique can achieve equivalent performance to that of existing CGM devices presently approved by the FDA when the same reference technique is utilized.","PeriodicalId":92021,"journal":{"name":"Current research in diabetes & obesity journal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Noninvasive Continuous Blood Glucose Monitoring by Dielectric Spectroscopy\",\"authors\":\"J. Burd\",\"doi\":\"10.19080/crdoj.2020.14.555897\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Alertgy noninvasive continuous blood glucose monitor (NICBGM) is a novel wristband device that reports glucose levels without any entailing skin puncture. This study evaluated the performance of this device compared with an FDA-approved glucose meter in patients with type 2 diabetes. Methods: The Alertgy DeepGluco NICBGM device measures changes in the dielectric spectrum it collects specific to blood glucose levels three times a minute. This spectral data is analyzed by using neural network analysis, machine learning and then with a calibration process is used to generate algorithms to estimate blood glucose (BG) values once the system is calibrated to the individual. The Roche Accuchek Inform II glucometer was used as a reference technique for calibration and then to determine the accuracy of blood glucose determinations. 27 patients completed three or more 120-minute sessions. Mean absolute relative difference (MARD) was calculated on the data collected. Results: MARD values were compiled for two or more days of data collection following the first day of calibration. The MARD for all measurements was found to be 15.3. Conclusions: The resultant MARD suggest that this technique can achieve equivalent performance to that of existing CGM devices presently approved by the FDA when the same reference technique is utilized.\",\"PeriodicalId\":92021,\"journal\":{\"name\":\"Current research in diabetes & obesity journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current research in diabetes & obesity journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.19080/crdoj.2020.14.555897\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current research in diabetes & obesity journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.19080/crdoj.2020.14.555897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Noninvasive Continuous Blood Glucose Monitoring by Dielectric Spectroscopy
The Alertgy noninvasive continuous blood glucose monitor (NICBGM) is a novel wristband device that reports glucose levels without any entailing skin puncture. This study evaluated the performance of this device compared with an FDA-approved glucose meter in patients with type 2 diabetes. Methods: The Alertgy DeepGluco NICBGM device measures changes in the dielectric spectrum it collects specific to blood glucose levels three times a minute. This spectral data is analyzed by using neural network analysis, machine learning and then with a calibration process is used to generate algorithms to estimate blood glucose (BG) values once the system is calibrated to the individual. The Roche Accuchek Inform II glucometer was used as a reference technique for calibration and then to determine the accuracy of blood glucose determinations. 27 patients completed three or more 120-minute sessions. Mean absolute relative difference (MARD) was calculated on the data collected. Results: MARD values were compiled for two or more days of data collection following the first day of calibration. The MARD for all measurements was found to be 15.3. Conclusions: The resultant MARD suggest that this technique can achieve equivalent performance to that of existing CGM devices presently approved by the FDA when the same reference technique is utilized.