Rahmat Noor Fauzi, Nadia Ristiani, Nur Saida, Helmy Yusuf Darmawan, Agung Sanubari, P. Oktivasari, R. N. Wardhani, Riandini
{"title":"使用MAX30105和MLX90614传感器的血糖、胆固醇、尿酸和体温无创检测系统","authors":"Rahmat Noor Fauzi, Nadia Ristiani, Nur Saida, Helmy Yusuf Darmawan, Agung Sanubari, P. Oktivasari, R. N. Wardhani, Riandini","doi":"10.1109/CENIM56801.2022.10037351","DOIUrl":null,"url":null,"abstract":"Currently, blood sugar, cholesterol and uric acid checks are still carried out by invasive methods. This method requires taking blood from the body using a needle, for this shortcoming we made a Blood Sugar, Cholesterol, Uric Acid, and Body Temperature Monitoring Tool using MAX30105 and MLX90614 Sensors with Non-Invasive Methods using linear regression formulas, in the test, checking blood sugar levels gets an average value of checking accuracy of 86%, checking cholesterol by 92.5%, on uric acid by 86.7%, and for measuring body temperature getting an average checking accuracy of 98.7%. Based on the testing and analysis that has been done, this tool still needs to be developed with more data collection, so that the accuracy of checking is getting better. Based on the testing and analysis that has been done, this tool still needs to be developed by taking more data, so that the checking accuracy is getting better.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Non-Invasive Detection System for Blood Sugar, Cholesterol, Uric Acid, and Body Temperature Using MAX30105 and MLX90614 Sensors\",\"authors\":\"Rahmat Noor Fauzi, Nadia Ristiani, Nur Saida, Helmy Yusuf Darmawan, Agung Sanubari, P. Oktivasari, R. N. Wardhani, Riandini\",\"doi\":\"10.1109/CENIM56801.2022.10037351\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Currently, blood sugar, cholesterol and uric acid checks are still carried out by invasive methods. This method requires taking blood from the body using a needle, for this shortcoming we made a Blood Sugar, Cholesterol, Uric Acid, and Body Temperature Monitoring Tool using MAX30105 and MLX90614 Sensors with Non-Invasive Methods using linear regression formulas, in the test, checking blood sugar levels gets an average value of checking accuracy of 86%, checking cholesterol by 92.5%, on uric acid by 86.7%, and for measuring body temperature getting an average checking accuracy of 98.7%. Based on the testing and analysis that has been done, this tool still needs to be developed with more data collection, so that the accuracy of checking is getting better. Based on the testing and analysis that has been done, this tool still needs to be developed by taking more data, so that the checking accuracy is getting better.\",\"PeriodicalId\":118934,\"journal\":{\"name\":\"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CENIM56801.2022.10037351\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CENIM56801.2022.10037351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-Invasive Detection System for Blood Sugar, Cholesterol, Uric Acid, and Body Temperature Using MAX30105 and MLX90614 Sensors
Currently, blood sugar, cholesterol and uric acid checks are still carried out by invasive methods. This method requires taking blood from the body using a needle, for this shortcoming we made a Blood Sugar, Cholesterol, Uric Acid, and Body Temperature Monitoring Tool using MAX30105 and MLX90614 Sensors with Non-Invasive Methods using linear regression formulas, in the test, checking blood sugar levels gets an average value of checking accuracy of 86%, checking cholesterol by 92.5%, on uric acid by 86.7%, and for measuring body temperature getting an average checking accuracy of 98.7%. Based on the testing and analysis that has been done, this tool still needs to be developed with more data collection, so that the accuracy of checking is getting better. Based on the testing and analysis that has been done, this tool still needs to be developed by taking more data, so that the checking accuracy is getting better.