Non-Invasive Detection System for Blood Sugar, Cholesterol, Uric Acid, and Body Temperature Using MAX30105 and MLX90614 Sensors

2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) Pub Date : 2022-11-22 DOI:10.1109/CENIM56801.2022.10037351

Rahmat Noor Fauzi, Nadia Ristiani, Nur Saida, Helmy Yusuf Darmawan, Agung Sanubari, P. Oktivasari, R. N. Wardhani, Riandini

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引用次数: 1

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.

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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

目前，血糖、胆固醇和尿酸检查仍采用侵入性方法。这种方法需要用针从体内取血，针对这一缺点，我们使用MAX30105和MLX90614传感器制作了血糖、胆固醇、尿酸和体温监测工具，采用无创方法，使用线性回归公式，在测试中，检查血糖水平的平均检查准确率为86%，检查胆固醇的平均准确率为92.5%，检查尿酸的平均准确率为86.7%，测量体温的平均检查准确率为98.7%。基于已经完成的测试和分析，该工具还需要开发更多的数据收集，以便检查的准确性越来越好。根据已经完成的测试和分析，该工具还需要进一步开发，采集更多的数据，使检测精度越来越高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)

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