Pramit Ghosh, D. Bhattacharjee, M. Nasipuri, D. K. Basu
{"title":"糖尿病患者24小时尿糖监测系统","authors":"Pramit Ghosh, D. Bhattacharjee, M. Nasipuri, D. K. Basu","doi":"10.1109/ICSMB.2010.5735397","DOIUrl":null,"url":null,"abstract":"A fuzzy logic based image processing application has been developed here which noninvasively measures the blood sugar level of a person from his /her urine by noting the colour change in its reaction with Benedicts reagent and displays the result so that apart from the patient, others also get informed. This system helps a diabetic patient to regularly monitor and control his/her blood sugar level by taking appropriate dose of medicine and /or controlling diet. The measurement accuracy of the method is 96.93%.","PeriodicalId":297136,"journal":{"name":"2010 International Conference on Systems in Medicine and Biology","volume":"26 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Round-the-clock urine sugar monitoring system for diabetic patients\",\"authors\":\"Pramit Ghosh, D. Bhattacharjee, M. Nasipuri, D. K. Basu\",\"doi\":\"10.1109/ICSMB.2010.5735397\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fuzzy logic based image processing application has been developed here which noninvasively measures the blood sugar level of a person from his /her urine by noting the colour change in its reaction with Benedicts reagent and displays the result so that apart from the patient, others also get informed. This system helps a diabetic patient to regularly monitor and control his/her blood sugar level by taking appropriate dose of medicine and /or controlling diet. The measurement accuracy of the method is 96.93%.\",\"PeriodicalId\":297136,\"journal\":{\"name\":\"2010 International Conference on Systems in Medicine and Biology\",\"volume\":\"26 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Systems in Medicine and Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSMB.2010.5735397\",\"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 International Conference on Systems in Medicine and Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSMB.2010.5735397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Round-the-clock urine sugar monitoring system for diabetic patients
A fuzzy logic based image processing application has been developed here which noninvasively measures the blood sugar level of a person from his /her urine by noting the colour change in its reaction with Benedicts reagent and displays the result so that apart from the patient, others also get informed. This system helps a diabetic patient to regularly monitor and control his/her blood sugar level by taking appropriate dose of medicine and /or controlling diet. The measurement accuracy of the method is 96.93%.